Fragments in the clinic: VVD-214

Just over two years ago we highlighted a new clinical candidate targeting WRN, a covalent inhibitor then called VVD-133214. An open-access paper published near the end of last year in J. Med. Chem. from Shota Kikuchi, David Weinstein, and colleagues at Vividion describes in detail the optimization of the covalent fragment hit to the clinical compound. (Shota presented some of this work at the 2024 DDC meeting.) This paper is also an interesting contrast to non-covalent fragment-finding approaches against this target we wrote about earlier this month.

 

The 2024 post described the chemoproteomic screening that identified compound 1a, which covalently binds to C727 in WRN. An early observation was that some molecules were cooperative with ATP while others were competitive. Given the high concentration of ATP in cells, the researchers prioritized the former category, which led to compound 1f. (Note that while I’m showing only the k_inact/K_I values, the researchers used biochemical and cell-based assays to drive SAR).

 

The vinyl sulfone warhead is unusual amongst covalent clinical compounds, so the researchers sought to characterize it. The rate of reaction with glutathione for compound 1f is comparable to the approved drug osimertinib: reactive, though acceptable. To try to lower the reactivity and also prevent isomerization of the double bond, the researchers introduced a methyl group. Compound 2a not only showed increased stability but also improved activity against WRN and sub-micromolar activity in a cell-based assay. A crystal structure of a later molecule revealed interactions with a hydrophobic patch on the protein, explaining the improvement in potency. Importantly, the other enantiomer was much less potent.

 

Other rings were tried, unsuccessfully, to replace the pyrimidine and the phenyl moieties. However, changing the cyclopentyl ring to a tert-butyl moiety (compound 5d) further improved the potency to the point where the compound could be tested in vivo, where it proved to be active in a mouse xenograft study. Mass spectrometry experiments revealed prolonged occupancy of C727 out to 24 hours after compound dosing even though the compound itself had been cleared, consistent with a long half-life of the WRN protein. The researchers note that high target engagement (TE) at 24 hours was predictive of tumor growth inhibition, which streamlines optimization since it is easier to run a one-day TE experiment than a multi-week efficacy study.

 

Further optimization of ADME properties ultimately led to VVD-214, which was active in a mouse xenograft study and showed good oral bioavailability and pharmacokinetics in mouse, rat, dog, and monkey. This compound was also profiled in a chemoproteomic assay and found to be quite selective for the C727 of WRN.

 

There are several important lessons in this paper. First, the initial fragment is larger than prescribed by the rule of three, consistent with an analysis of covalent inhibitors last year. Second, much of the SAR was empirical; crystallography was not used until relatively late in the campaign. When a crystal structure was finally solved of VVD-214 bound to WRN it revealed no polar contacts between the ligand and the protein, only hydrophobic interactions, which is rare for fragments, let alone drugs. Perhaps because of the lack of polar interactions, it was impossible to measure the inhibition constant (K_I), and saturating the warhead to make it unreactive completely abolished activity. In other words, the binding is largely driven by reactivity, but specific reactivity for WRN rather than generic chemical reactivity.

 

In 2024 just two WRN inhibitors had entered the clinic, the other being a noncovalent molecule called HRO761. We quoted the Vividion team as saying that “this presents a rare opportunity to compare two small molecule oncology drugs targeting the same protein by different mechanisms.” Since then, HRO761 has been quietly discontinued, as has another noncovalent drug, IDE275. Meanwhile, development of VVD-214 is ongoing, and another covalent compound, MOMA-341, which we mentioned here, has also begun human testing. (To be fair, so has yet another non-covalent molecule NDI-219216. And the binding mechanism of a sixth WRN drug, EIK1005, is undisclosed.) While it’s still early in the match, covalent drugs seem to be punching above their weight. May the best drug(s) prevail - Practical Fragments is rooting for them all.

Multivalent fragments in the clinic: Muvalaplin

It’s been a couple years since Practical Fragments last updated our “fragments in the clinic” list. Before doing so it makes sense to highlight some of those we’ve missed. Let’s start with an open-access Nature paper from Laura Michael and collaborators at Lilly and Monash University published in 2024. Truth be told I’ve been waiting for a longer discovery paper, but I’ll go with what’s available now.

 

The researchers were interested in lipoprotein(a), or Lp(a), which has been linked to cardiovascular diseases. Lp(a) forms when low-density lipoprotein (LDL) binds to apolipoprotein(a), or apo(a). This is a two step process, in which the ten subtypes of so-called Kringle IV (K_IV) domains in apo(a) bind to lysine residues on LDL, followed by disulfide bond formation between apo(a) and LDL. Blocking the first step in this process should reduce levels of Lp(a).

 

Here's the only description of the initial screen: “Biochemical and biophysical compound screens using purified apo(a) K_IV7-8 protein identified interacting small molecules. Optimization of the initial binding molecules led to…LSN3353871.” Whatever the details, LSN3353871 is unequivocally a rule-of-three compliant fragment. It is also a very ligand-efficient binder with high nanomolar affinity for the K_IV8 domain. LSN3353871 disrupted the formation of Lp(a) in vitro at low micromolar levels and decreased levels of Lp(a) in cynomolgus monkeys when dosed orally.

 

As noted above, the apo(a) protein contains multiple K_IV domains, and a classic method for improving potency is by making dimeric ligands that can bind to two domains simultaneously. The researchers did just this in the form of LSN3441732, which binds to apo(a) and disrupts formation of Lp(a) in vitro at picomolar concentrations.

 

If dimeric ligands are better than monomeric ones, why not go for multimeric ligands? The trimeric molecule LY3473329, or muvalaplin, was synthesized and crystallographically shown to bind to three copies of K_IV8. It blocked formation of Lp(a) in vitro and reduced Lp(a) levels in cynomolgus monkeys.

 

Kringle domains are found not just in apo(a) but also in plasminogen, the zymogen form of plasmin, which is responsible for degrading blood clots. Fortunately, subtle differences between the Kringle domains in apo(a) and human plasminogen provide selectivity for the former protein, especially for multivalent ligands such as muvalaplin, and a phase 1 clinical study showed that Lp(a) could be lowered without affecting plasmin activity.

 

This is a nice application of applying fundamental multivalent principles to develop a potent molecule. It is also another example of a molecule that may not look like a drug but works like one: despite containing four basic nitrogen atoms, three carboxylic acid moieties, and sporting a molecular weight above 700 Da, muvalaplin is orally bioavailable. It is currently in a phase 3 trial in up to 10,450 patients. Cardiovascular disease is the leading cause of death in the developed world, and Practical Fragments wishes luck to everyone involved in these studies.

 

In the meantime, watch for more Practical Fragments posts on new entries to our fragments in the clinic list, which will be updated later this year.

Twentieth Annual Fragment-Based Drug Discovery Meeting

Last week’s CHI Drug Discovery Chemistry (DDC) meeting was held as usual in San Diego. More than 850 people attended, 96% in person, with 70% from industry and 28% from outside the US. I personally attended more than three dozen talks over the four days and will just touch on some broad themes.

 

Noncovalent approaches

Steve Fesik (Vanderbilt) gave two talks, the first of which was focused on “FBDD tips for success.” This opinionated and entertaining romp revealed lessons learned across several projects on difficult targets such as KRAS. Another holy grail oncology target is MYC, which is largely disordered. A two-dimensional NMR screen against the protein failed to yield any hits, but a screen of the MYC:MAX heterodimer provided hits which have been optimized to high nanomolar potency and are able to block DNA binding.

 

The second talk was focused on E3 ligases, a target class Steve has been pursuing for the past decade. Steve is particularly interested in E3 ligases such as CBL-C, TRAF4, and KLHL12 that are differentially expressed in certain tissues. In the case of KLHL12, which is not found in heart tissue, an NMR-based screen led to fragment hits that were ultimately optimized to mid-nanomolar binders and could be turned into bivalent degraders for Bcl-xL and β-catenin.

 

When asked about his second favorite fragment-finding method after protein-detected NMR, Steve mentioned SPR. The throughput for SPR has historically been modest, but John Quinn (Genentech) described the new Carterra Ultra, which is capable of screening 96 proteins simultaneously while retaining good sensitivity. John screened 3000 fragments at 500 µM against multiple proteins in just two weeks, which provided an immediate assessment of both protein ligandability and fragment selectivity. Interestingly, and in contrast to some other analyses, shapelier fragments had similar hit rates to flatter fragments.

 

Several talks focused on fragment-to-lead success stories, some of which we’ve covered on Practical Fragments, such as RIP2 kinase inhibitors that started from flat fragments and were evolved to more three-dimensional leads as described by Mark Elban (GSK). John Taylor discussed pan-RAS inhibitors discovered at Cancer Research Horizons, the subject of an upcoming post. Andrew Judd (AbbVie) described the discovery of ABBV-973, a potent STING agonist that could be useful for certain types of cancer. And Justyna Sikorska described the discovery of a non-covalent WRN inhibitor at Merck. This is a nice complement to Vividion’s covalent WRN inhibitor, which we wrote about here and which was presented by Shota Kikuchi. Interestingly, structural biology was not enabled until late in this project.

 

One of the earliest arguments for fragment linking was the concept of avidity, and this underlies the basis of a technology discussed by Tom Kodadek and Isuru Jayalath at University of Florida Scripps. The idea is to immobilize fragments onto TentaGel beads, each the size of a red blood cell. These can be screened against multivalent proteins using either simple plate-based assays or FACS, the idea being that even if an individual protein-ligand interaction is weak, a multimeric protein can interact with several ligands on a single bead for enhanced binding. The researchers validated the concept with streptavidin, and also used it to find millimolar binders to the proteasome subunit Rpn13.

 

Last year we wrote about using photoaffinity crosslinking with fully functionalized fragments (FFFs) to identify non-covalent ligands to thousands of proteins in cells, and this was the subject of several talks. Chris Parker (Scripps) has mapped more than 7000 binding sites and described the discovery of an inhibitor against the inflammatory target SLC15A4. Interestingly, the molecule binds what appears to be a disordered region, though Chris speculated that it adopts a more defined structure in cells.

 

Belharra has gone all in on using FFFs, and Jarrett Remsberg and Andrew Wang described the construction of a diverse >11,000-membered FFF library, 88% of which consists of enantiomers. This has been screened against 13 different oncology and immunology cell lines to identify enantioselective or chemoselective hits against >4000 proteins including STAT3, IRF3, and AR.

 

Covalent approaches

The FFF approach uses covalent bond formation to trap a noncovalent ligand, but of course covalent ligands are all the rage these days, as we noted just last week. Dan Nomura (UC Berkeley) described the identification of stereoselective covalent ligands against a disordered region of cMYC that seem to work by destabilizing the protein in cells. Similarly, covalent ligands against the largely disordered AR-V7 also seem to destabilize the protein. It will be interesting to explore the mechanism of these molecules to see whether the proteins are more ordered inside cells.

 

Jin Wang (Baylor College of Medicine) described a chemoproteomic approach called Fragment Probe Protein Enrichment (FraPPE) which entails linking covalent fragments to a desthiobiotin tag. Labeled proteins are then pulled down, proteolyzed, and analyzed by mass spectrometry. In contrast, competition methods such as those described last year pull down labeled peptides after proteolysis. The advantage of FraPPE is that it can capture multiple peptides from each pulled-down protein, leading to fewer false negatives.

 

Of course, not every application of covalent discovery involves chemoproteomics. Joe Patel, who co-organized FBLD 2016, described the Nexo Therapeutics platform. They’ve built from scratch a library of >12,000 fragments, a third of which contain stereocenters. Each member is rule-of-three compliant before adding the warhead, meaning that the final molecules can be larger, which as we noted earlier this month is probably a good idea. To date Nexo has successfully screened more than a dozen targets using intact protein mass spectrometry.

 

The Nexo library targets not only cysteines but other residues as well, and Maurizio Pellecchia (UC Riverside) described using sulfonyl fluorides and fluorosulfates to target histidine residues. He and his group screened a library of 600 fluorosulfate-containing fragments (MW 250-350 Da) against the oncology target MCL1 and found several that stabilized the protein towards thermal denaturation. Crystallography confirmed covalent bond formation.

 

Most covalent fragments are electrophilic so that they can react with nucleophilic protein residues, but as we noted in 2022 it is possible to do the reverse. Megan Matthews (University of Pennsylvania) described how she used chemoproteomics to discover the mechanism of action for hydralazine, a drug that has been used since 1949 to treat hypertension. This fragment-sized (MW 160 Da!) molecule irreversibly alkylates a histidine residue within the active site of the enzyme ADO, a target that has also been implicated in gliobastoma.

 

Plenary Keynotes

The approval of the covalent BTK inhibitor ibrutinib in 2013 arguably marks the start of the modern era of covalent drug discovery, and Chris Helal described Biogen’s efforts against this target using reversible inhibitors, irreversible inhibitors, and degraders. Chris traced the origin of their phase-2 BIIB091 to a collaboration with Sunesis that used Tethering, so perhaps we should include this molecule in our list of fragment-derived clinical compounds.

 

Phil Baran of Scripps, who last spoke at the conference in 2020, gave the secondary plenary keynote. After stating that “medicinal chemists are the backbone of society,” he then detailed multiple examples of how they’ve been doing things wrong. Fortunately, he provided useful chemistry solutions, with “useful” defined as reactions that are operationally simple, have wide scope, and require only readily available reagents. Rather than deploying tedious protecting group installations and deprotections, Phil uses radical chemistry to directly generate carbon-carbon bonds between or within complicated molecules. His goal is to make the chemistry so simple and practical as to be boring, and he illustrated the point by showing his teenage daughter successfully running a reaction.

 

I’ll end here, but please leave comments. And mark your calendar for April 13-16 next year, when DDC returns to San Diego.

The thousandth Practical Fragments post!

As the title states, this is the 1000^th post at Practical Fragments. This blog was conceived in 2008 over drinks at the Third Annual CHI Fragment-based Drug Discovery Conference. (Don’t miss the twentieth in April!) Teddy Zartler said he was planning on starting a blog and asked if I wanted to join. In July of 2008 Teddy wrote the first post, and every month since then has seen at least a couple new ones. I thought it would be fun to look back briefly on the past 16+ years.

 

Methods

The very first Practical Fragments post asked what screening methods people use, and this eventually led to five polls on the topic, the latest of which published just a few months ago. In our first formal poll, in 2011, the average respondent used 2.4 techniques. Today that number has grown to 5 due to the increased recognition that different methods have different strengths and weaknesses.

 

By far the biggest winner among methods has been X-ray crystallography; it jumped from sixth place in 2011 to first place in both 2019 and 2024. Crystal structures have long been prized in drug discovery, but the dramatic increases in throughput and automation over the last decade mean more structures are more available to more users.

 

Computational methods too have improved spectacularly. In 2009 we highlighted an in silico screen of around 67,000 fragments which yielded ten micromolar inhibitors. Today, screening multibillion compound libraries is becoming routine, and artificial intelligence is likely to enable even more opportunities.

 

Pitfalls

One of the reasons that it took so long for FBLD to develop was the myriad artifacts that can haunt screens run at high concentrations. For example, compound aggregation was not widely recognized until the first decade of this century, and even today too many papers are published without checking for this pathological phenomenon.

 

Similarly, pan-assay interference compounds, or PAINS, were not defined until 2010. Scientists at large companies have long known to steer clear of certain chemotypes. Now academics and folks in startups are more aware of problematic substructures, even if Dr. Saysno objects.

 

Long-time readers may recall a series of posts on “PAINS-shaming,” where we highlighted (lowlighted?) papers that lacked appropriate selectivity or mechanistic studies. Occasionally this led to productive discussions, as in this example where an author and journal editor contributed to the comments. But with the increasing use of metrics measuring social media engagement to rank articles I’ve decided that blogging about them may inadvertently reward shoddy science. If you’re looking for most of the things that can go wrong in a screen, check out this open-access review by Ben Davis and me.

 

Covalent craze

One prominent mechanism of PAINS is indiscriminate covalent modification of proteins. For many years drug hunters actively avoided covalent modifiers for fear of off-target modifications and their potentially toxic effects. Indeed, the first several mentions of covalent compounds at Practical Fragments were in the “things to avoid” category. We discussed reversible covalent modifiers in 2012 and 2013, but it wasn’t until 2014 that we wrote about intentionally irreversible fragments.

 

How times have changed! The success and safety of targeted covalent kinase inhibitors has fueled enthusiasm for covalent drugs in general, creating opportunities for fragment-based approaches. Indeed, as we discussed here, both reversible and irreversible fragment-based screens were used in the discovery of the first approved drug targeting the previously intractable target KRAS, and these learnings have been applied at multiple companies to produce an impressive armamentarium against what Darryl McConnell has called “the beating heart of cancer.”

 

To find KRAS inhibitors, researchers screened pure proteins against libraries of covalent fragments. One of the most exciting recent developments in chemoproteomics has been screening covalent fragment libraries in intact cells or cell lysates to find hits against thousands of proteins in their native environment. We first wrote about this approach in 2016, and last year we highlighted the first drug to enter the clinic from covalent screening in cells.

 

And all this is just the beginning: each of our past four annual “review of reviews” posts has featured between three and six papers focused on covalent fragment-based drug discovery.

 

Clinical compounds

My first blog post in 2008 was a brief mention of a C&EN story on FBLD, in which I noted that “an FBLD drug that reaches the market by 2011 would be a ‘psychological’ victory for the whole FBLD community.” Although I claim no prescience, I was happy to see vemurafenib approved in August of 2011.

 

Indeed, I would argue that FBLD-derived drugs are the most meaningful output and validation of the field. Our first systematic tabulation in 2009 counted just 17 that had entered clinical trials, and today there are more than 60. Like investigational drugs in general, the majority of these have stumbled, but at least eight have been approved by the US FDA, and more are working their way through clinical trials. While eight might seem like a modest number, the number of patients they’ve helped is orders of magnitude greater.

 

Closing thoughts

There are far more themes in a thousand posts than I could summarize in a single one: metrics, induced proximity, and newer methods such as cryo-EM all come to mind. But as this post has already surpassed 1000 words, I’ll wrap it up.

 

One minor frustration has been the sparsity of comments; it sometimes feels as if I’m blogging into the void. That said, I’m pleased that some posts may have led to new research, such as this. And blogging can be its own reward: I sometimes find myself using the “Search This Blog” function on the top right-side of the page when I’m trying to remember a paper from years ago.

 

Since Teddy left the FBLD field several years ago I’ve been writing most of the content, with occasional guest posts (such as this from Glyn Williams). At the current rate it might take a couple decades for Practical Fragments to reach 2000 posts, if we even get there. But for now, I’d like to thank each of you for reading. I hope you enjoy it and that is has, at least occasionally, made your scientific pursuits more practical.

Berotralstat: an overlooked fragment-derived drug

At the end of 2023 I mentioned that a paper by Dean Brown listed berotralstat as a fragment-derived drug. Readers will notice this molecule does not appear on our “fragments in the clinic” list. Did we miss it? After reading a (2021!) J. Med. Chem. paper by Pravin Kotian and colleagues at BioCryst, I believe the answer is yes.

 

Hereditary angioedema (HAE) is a rare genetic disease caused primarily by deficiencies in a protein that inhibits a serine protease called plasma kallikrein, or PKal. Drugs had already been developed to replace the inhibitor protein, but these need to be injected or infused. Since PKal is an enzyme, the researchers sought to make a small molecule inhibitor that could be taken as a pill.

 

BioCryst had developed an earlier drug called BCX4161, which is potent but has poor oral bioavailability. To find a better molecule, the researchers turned to the rich literature around serine protease inhibitors, which led them to make compound 2, a fragment of previously reported inhibitors of other serine proteases. The protonated benzylamine was expected to bind in the S1 pocket of the enzyme, and indeed the molecule did show weak but measurable activity.

 

Fragment growing led to compound 4, with double-digit micromolar activity. Building off the new phenyl ring led to more potent molecules such as compound 13, with low micromolar activity. Further structure-based design eventually led to BCX7353, or berotralstat. The paper provides good descriptions of the design rationale. For example, the fluorine was added to improve permeability, and the nitrile was added to improve the ADME profile. Modeling was used both to improve potency as well as to gain selectivity over other serine proteases. This proved to be successful: berotralstat is a subnanomolar inhibitor of PKal and at least several thousand-fold selective over trypsin and other serine proteases such as thrombin and FXa.

 

The pharmacokinetic properties of berotralstat in rats and monkeys were also good, and according to clinicaltrials.gov the molecule first entered the clinic in 2015. In December of 2020 the FDA approved berotralstat for prophylactic treatment of HAE attacks.

 

This is a nice story, and I agree with Dean that the discovery of berotralstat was “based on a legacy clinical candidate and fragment approaches.” The earlier molecule BCX4161 contained a benzamidine moiety, which was in part responsible for the poor oral bioavailability. Replacing this with a benzylamine fragment from the literature is a classic fragment strategy, and compound 2 is fully compliant with the rule of three.

 

So how was it missed? The abstract only states that berotralstat was discovered “using a structure-guided drug design strategy.” Indeed, the word “fragment” appears precisely once in the paper, albeit in a very telling sentence: “We evaluated these fragments in our PKal^pur inhibitor assay…”

 

From a timeline perspective, the approval of berotralstat makes it the fifth approved fragment-derived drug, after pexidartinib and before sotorasib. I’ll include it in the next update of clinical compounds, along with my standard disclosure that “the list is almost certainly incomplete.” What else are we missing?

Discovery on Target 2024

Last week Boston hosted CHI's 22^nd Annual Discovery on Target. With dozens of talks spread across seven or eight concurrent tracks over three days, and an additional day of pre-conference symposia, I’ll just touch on a few themes.

 

Computational Approaches

Artificial intelligence and machine learning were well represented. Brandon White described an ML model built at Axiom to predict liver toxicity, responsible for a quarter of clinical trial failures. As we noted last week, good ML models require lots of data, and Axiom has tested 50,000 small molecules in primary human hepatocytes from multiple donors using assays including high-content imaging. Just input a chemical structure and the model will predict toxicity. When run against the FDA’s database of drug-induced liver injury, the model performed with 74% sensitivity and 97% specificity, and even gave good dose predictions.

 

Woody Sherman (Psivant) laid out a series of “grand challenges for computers in drug discovery.” This is the working title for a publication he is spearheading to focus attention on key problems. They fall into five categories: chemistry (including synthesis, stability, and covalency), structure predictions (including protein-ligand structures, dynamics, and cryptic pockets), energetics (including affinity, selectivity, and kinetics), ADME (including everything from solubility and aggregation to bioavailability), and pharmacology (including toxicity). A sixth category, human considerations (including intellectual property and interpreting experimental data), is also being considered.

 

The success of AlphaFold to predict protein structures shows what computers can achieve, but in that case the effort was enabled by massive amounts of high-quality public data in the Protein Data Bank. Few of these challenges can draw on anything approaching the PDB. Indeed, even parameters as seemingly simple as solubility can change dramatically depending on crystal form and subtle changes to pH.

 

Because these computational challenges are so daunting, collecting them into one forum may prove salutary. And other categories may be worth including, such as target discovery. Woody is looking for co-authors, so reach out to him if you’re interested.

 

Covalent approaches

Covalent approaches to drug discovery have gone mainstream, at least if this conference is any indication. But they are not without risk: Doug Johnson (Biogen) described research implicating the piperidine acrylamide pharmacophore in approved BTK inhibitors with inhibition of ALDH1A1 and possible liver injury.

 

Several talks focused on methodologies. Alexander Federation (Talus) described data-independent acquisition (DIA) mass spectrometry methods, which can be more comprehensive than the more commonly used data-dependent acquisition (DDA) methods in identifying peptides in chemoproteomic studies, which we first discussed here. Talus is focused specifically on transcription factors.

 

As we noted earlier this year, Steve Gygi (Harvard) has been at the forefront of increasing the throughput of mass spectrometry methods, and he described how to increase the number of samples that can be analyzed simultaneously from 18 to 35. He also described two approaches, GoDig and CysDig, to look for up to 200 pre-specified proteins in a sample, ensuring identification of even low-abundance targets.

 

Turning to specific targets, Wai Cheung Adrian Chan described work done at Harvard to find covalent inhibitors against deubiquitinating enzymes (DUBs), reporting that screens of a small library of 178 covalent fragments in cell lysates found hits against several dozen DUBs. (We previously wrote about non-covalent USP7 inhibitors.)

 

Brooke Brauer described the optimization of a covalent inhibitor of Bfl-1 at AstraZeneca, an interesting oncology target. AZ has published some nice papers on this project which I’ll write about soon.

 

Last week we mentioned work Michelle Arkin and collaborators had done on 14-3-3 proteins, and Lynn McGregor described work done at Novartis on the same system. A screen of 6000 covalent compounds identified hits that modified a specific cysteine in 14-3-3 more rapidly in the presence of a peptide derived from the estrogen receptor. Stabilizing this interaction could be useful for treating certain cancers.

 

Not everyone is focused on cysteine: Andrea Zuhl described work done at Hyku Biosciences, which as the name suggests is targeting histidine, tyrosine, and lysine. This has necessitated building a fragment library of more than 6000 compounds, more than 70% of which are stable in buffer. Andrea presented one example targeting the catalytic lysine residue of the oncogenic ALK fusion protein, though the selectivity against other kinases was not disclosed.

 

All of these examples focused on covalent molecules in which the warhead is maintained during optimization. But as we first wrote about here, fully functionalized fragments (FFFs) contain a photoreactive moiety that reacts covalently with nearby proteins but is subsequently discarded. Sherry Niessen described how Belharra has industrialized this process by creating a library of about 11,000 FFF probes. Because of the low efficiency of protein crosslinking (typically <5%), most of the library consists of enantiomeric pairs to facilitate hit identification. Also, the average molecular weight of the library is around 350 Da, and these super-sized fragments tend to perform better than the strictly rule-of-three compliant molecules.

 

Covalent success stories

At least two presentations covered covalent fragment-based drug candidates. Shota Kikuchi (Vividion) described the discovery of VVD-214/RO7589831, a WRN inhibitor we wrote about earlier this year. As I speculated at the time, the cyclopropyl group was introduced to lower the reactivity of the vinyl sulfone warhead. Interestingly though, even early molecules were quite selective for WRN. Like sotorasib, binding is largely driven by the k_inact term of k_inact/K_i, again demonstrating that high reactivity for the target does not necessarily mean high chemical reactivity.

 

Finally, in his plenary keynote Steve Fesik (Vanderbilt University) covered multiple success stories, including the discovery of the KRAS^G12C inhibitor BI 1823911, which we wrote about here. Boehringer Ingelheim has since published molecules that hit multiple KRAS mutants as well as KRAS degraders, and Steve noted that all of these contain the same “squirrely-looking” fragment identified from SAR by NMR, an illustration of the power of fragment-based methods to explore new regions of chemical space.

 

I’ll close there, but please add your thoughts. There are is still at least one good conference coming up this year, and 2025 is quickly approaching.

Covalent fragments in the clinic: VVD-133214

Back in 2016 we highlighted a paper describing chemoproteomic screening of covalent fragments. That technology formed the basis of Vividion, which was acquired by Bayer in 2021. Now, a paper just published in Nature by Matthew Patricelli, Todd Kinsella, and collaborators at Vividion, Roche, and Universitat Autònoma de Barcelona describes one of the fruits to come from this platform.

 

The work stems from another promising recent approach to find oncology targets, synthetic lethality: searching for proteins that are essential in certain types of cancer cells but dispensable for normal cells, which might mean reduced toxicity. WRN is a DNA helicase that can clean up secondary DNA structures caused by expanded TA-dinucleotide repeats found in cancer cells with microsatellite instability (MSI), which is caused by mutations in DNA repair genes. Previous research had shown that knocking out WRN caused double-stranded DNA breaks and cell death in MSI-high (MSI-H) cancer cells but not normal cells, which do not have so many expanded TA-dinucleotide repeats. This has set off an industry-wide search for WRN inhibitors.

 

The researchers screened several thousand fragment electrophiles against cell lysates and found that some, such as VVD-109063, modified C727 of WRN. Although this cysteine is located some distance from the ATP binding site, functional activity studies with the pure protein found that the molecule was an inhibitor.

 

Optimization of VVD-109063 and related molecules found inconsistencies between results in lysates and intact cells. Some engaged C727 better in intact cells than lysates, others worse. Differences in cell permeability were ruled out by the fact that a cysteine on an unrelated protein was liganded to a similar extent in cell lysates and intact cells. The researchers speculated that, because cell lysates are diluted, they have lower ATP concentrations, and sure enough some molecules were less active in the presence of ATP while others were more active.

 

The team decided to focus on the second class. Optimization ultimately resulted in the clinical candidate VVD-133214. (Unfortunately details are not given; the paper does say these will be provided elsewhere).

 

A crystal structure of VVD-133214 confirmed covalent binding to C727, with the molecule in a hydrophobic pocket in a flexible “hinge region” of the protein. This causes a conformational rearrangement into a “closed” form, which presumably affects the catalytic activity of the helicase. Surprisingly, there are no hydrogen bonds between WRN and VVD-133214. This is highly unusual: a paper we discussed in 2021 found >90% of fragment-derived leads had at least one polar contact.

 

The k_inact/K_i value is reported as being 4848 M^-1s^-1, which is on the low side for clinical-stage irreversible inhibitors. Like sotorasib, its potency seems driven by k_inact, with the K_i being greater than > 15 µM. Consistent with this low inherent affinity, the molecule was inactive against the C727A mutant enzyme.

 

Much of the paper focuses on the biology, which is interesting but beyond the scope of this post. Suffice it to say that VVD-133214 is cytotoxic in MSI-H cells, where it causes G2 arrest and DNA damage, but inactive in microsatellite stable (MSS) cells. Oral dosing led to tumor regression in several MSI-H mouse models, including patient-derived xenografts.

 

This is a nice paper, though I look forward to a full account of the medicinal chemistry. In particular, vinyl sulfones are generally considered quite reactive, and I know of only one other clinical-stage molecule with this warhead. Presumably the cyclopropyl substituent was added at least in part to sterically block access to the electrophile.

 

Also, while the paper refers to VVD-133214 as “clinical-stage,” it appears neither on clinicaltrials.gov nor on Vividion’s website. The Roche website lists RG6457 as a phase 1 WRN covalent inhibitor partnered with Vividion, so perhaps this is the same molecule.

 

The paper ends by mentioning another clinical-stage WRN inhibitor from a different company, this one noncovalent. It notes that “this presents a rare opportunity to compare two small molecule oncology drugs targeting the same protein by different mechanisms,” and that using both could be useful in combating resistance. Practical Fragments wishes luck to these – and other drugs targeting WRN – helping patients quickly.

Fragments in the clinic: 2024 edition

It has been more than a year since our last list of fragment-derived clinical compounds. Since then capivasertib has been approved, bringing the number of marketed drugs to seven. There have also been a few other changes.

 

As always, this table includes compounds whether or not they are still in development (indeed, some of the companies no longer even exist). Because of this, the Phase 1 section contains a higher proportion of compounds that are no longer progressing. The full list contains 59 molecules, up slightly from 2022, with just under 40% approved or in active trials.

 

Drugs reported as still active in clinicaltrials.gov, company websites, or other sources are in bold, and the 37 that have been discussed on Practical Fragments are hyperlinked to the most relevant post. The list is almost certainly incomplete, particularly for Phase 1 compounds. If you know of others please leave a comment.

Drug	Company	Target
Approved!
Asciminib	Novartis	BCR-ABL1
Capivasertib	AstraZeneca/Astex/CR-UK	AKT
Erdafitinib	Astex/J&J	FGFR1-4
Pexidartinib	Plexxikon	CSF1R, KIT
Sotorasib	Amgen	KRASG12C
Vemurafenib	Plexxikon	B-RAFV600E
Venetoclax	AbbVie/Genentech	Selective BCL-2
Phase 3
Lanabecestat	Astex/AstraZeneca/Lilly	BACE1
Navitoclax (ABT-263)	Abbott	BCL-2/BCLxL
Pelabresib (CP-0610)	Constellation	BET
Verubecestat	Merck	BACE1
Phase 2
ASTX029	Astex	ERK1,2
ASTX660	Astex	XIAP/cIAP1
AT7519	Astex	CDK1,2,4,5,9
AT9283	Astex	Aurora, JAK2
AUY-922	Vernalis/Novartis	HSP90
AZD5991	AstraZeneca	MCL1
DG-051	deCODE	LTA4H
eFT508	eFFECTOR	MNK1/2
Indeglitazar	Plexxikon	pan-PPAR agonist
LY2886721	Lilly	BACE1
LY3202626	Lilly	BACE1
LY3372689	Lilly	OGA
LY517717	Lilly/Protherics	FXa
LYS006	Novartis	LTA4H
MAK683	Novartis	PRC2 EED
MK-8189	Merck	PDE10A
Onalespib	Astex	HSP90
PF-06650833	Pfizer	IRAK4
PF-06835919	Pfizer	KHK
PLX51107	Plexxikon	BET
S64315	Vernalis/Servier/Novartis	MCL1
VK-2019	Cullinan Oncology / Wistar	EBNA1
Phase 1
AG-270	Agios/Servier	MAT2A
ABBV-744	Abbott	BD2-selective BET
ABT-518	Abbott	MMP-2 & 9
ABT-737	Abbott	BCL-2/BCLxL
AT13148	Astex	AKT, p70S6K, ROCK
AZD3839	AstraZeneca	BACE1
AZD5099	AstraZeneca	Bacterial topoisomerase II
BI 1823911	Boehringer Ingelheim	KRASG12C
BI 691751	Boehringer Ingelheim	LTA4H
CFTX-1554	Confo Therapeutics	AT2 receptor
ETC-206	D3	MNK1/2
GDC-0994	Genentech/Array	ERK2
HTL0014242	Sosei Heptares	mGlu5 NAM
HTL0018318	Sosei Heptares	M1-receptor partial agonist
HTL9936	Sosei Heptares	M1-receptor partial agonist
IC-776	Lilly/ICOS	LFA-1
LP-261	Locus	Tubulin
LY2811376	Lilly	BACE1
Mivebresib	AbbVie	BRD2-4
MRTX1719	Mirati	PRMT5•MTA
Navoximod	New Link/Genentech	IDO1
PLX5568	Plexxikon	RAF
SGX-393	SGX	BCR-ABL
SGX-523	SGX	MET
SNS-314	Sunesis	Aurora
TAK-020	Takeda	BTK

Capivasertib: the seventh approved fragment-derived drug

On Thursday last week the FDA approved capivasertib for certain breast cancer patients. This marks the seventh fragment-derived drug to be approved. It is also the first approved drug targeting the kinase AKT.

 

Practical Fragments first wrote about capivasertib, then called AZD5363, way back in 2013, where we described the decade-long odyssey from fragment to drug. Interestingly that fragment, 7-azaindole, was also the starting point for two other approved drugs, pexidartinib and vemurafenib. As we noted at the time, “high-affinity molecules were obtained relatively quickly, but these still required a huge amount of effort to achieve selectivity, oral bioavailability, and other properties.”

 

What happened next is a poster child to counter one of the false beliefs Christopher Austin noted as being widespread outside industry: “Once an investigational therapy gets into humans for the first time, regulatory approval and marketing are all but assured.”

 

Capivasertib entered the clinic in 2010 in the first of more than 30 studies listed on ClinicalTrials.gov to date. One challenge was finding patients that would benefit sufficiently to offset a long list of side effects, including diarrhea and glucose fluctuations. In the end, the current approval is in combination with fulvestrant for “adult patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative locally advanced or metastatic breast cancer with one or more PIK3CA/AKT1/PTEN-alterations, as detected by an FDA-approved test, following progression on at least one endocrine-based regimen in the metastatic setting or recurrence on or within 12 months of completing adjuvant therapy.”

 

Needless to say, these were not the first patients tested. Use of genetic testing to match patients with a drug likely to help them is not routine even today, let alone in 2010. Managing side effects also required figuring out how much of the drug to dose and how often. But additional combination trials are ongoing. Perhaps, as with venetoclax, capivasertib will eventually prove to be useful for a wider range of patients.

 

The first marketed fragment-derived drug, vemurafenib, sprinted from program initiation to approval in just six years. Capivasertib took twenty. As we previously noted, success in drug discovery is not necessarily fast or inevitable. Every year more than 40,000 people die of breast cancer in the US alone, but the death rate has slowly been declining. Hopefully the introduction of capivasertib will continue to reduce this.

 

Congratulations to all the researchers at AstraZeneca, Astex, and the Institute for Cancer Research for participating and persisting in this 20-year marathon to bring a new treatment to people with cancer.

Eighteenth Annual Fragment-Based Drug Discovery Meeting

Last week the CHI Drug Discovery Chemistry (DDC) meeting was held in San Diego, and it was the largest ever, with more than 850 participants, 87% of whom attended in person, up from 70% last year. I won’t attempt to cover all twelve tracks, but will just touch on some of the main themes.

 

Covalent fragments

Brent Martin kicked off a session devoted to covalent modifiers by describing the in-cell proteome-wide covalent ligand discovery done at Scorpion Therapeutics. Brent emphasized the importance of measuring k_inact/K_i to characterize compounds, and he went so far as to say he would recommend rejecting papers that report only IC₅₀ values. He emphasized some of the challenges finding low-affinity fragments (with high K_i values) that are not overly reactive. But Upendra Drahal (Amgen) noted that sotorasib has only weak affinity (K_i = 86 µM) but a high k_inact (0.85 s^-1) for the G12C mutant form of KRAS, despite being quite stable against glutathione. High reactivity is fine, as long as it is highly selective reactivity.

 

Jeffrey Martin (Biogen) spoke about covalent fragments applied to neuroscience, including targets for Alzheimer’s (tau) and Huntington’s disease. And in two separate talks Dan Nomura (UC Berkeley) provided numerous examples of finding covalent fragments against a variety of targets, including cMYC and E3 ligases (more on those below).

 

Keynote speaker Michelle Arkin (UCSF) described using disulfide Tethering to find reversible covalent binders of caspase 6 that were subsequently optimized to cell-active irreversible inhibitors. She provided an evocative visual metaphor of proteins participating in an English country dance, moving from partner to partner in a dynamic yet choreographed fashion. The most popular dancers are the 14-3-3 proteins, which act as hubs mediating binding to hundreds of other proteins. Michelle has found stabilizers of some of these interactions, which could shut down aberrant disease signaling.

 

Covalent ligand discovery is best done with mass spectrometry, and two talks revealed useful new methods. Jim Nonomiya described an approach he and his Genentech colleagues developed called CoMPAS, covalent mapping by peptide attenuation screening. This method uses an isotopically labeled peptide as an internal standard to assess disappearance of covalently modified peptides from enzymatically digested proteins. Sensitivity can be much better than for intact protein mass spectrometry, allowing lower consumption of scarce recombinant protein. Depending on the type of setup, throughput can also be higher.

 

Throughput is the name of the game in a method presented by Nate Elsen (AbbVie) called IR-MALDESI-MS. The home-built system uses a laser to gently ionize aqueous solutions in 384-well plates before running them through an electrospray mass spectrometer. The system can analyze up to 20 samples per second, including intact proteins.

 

Non-covalent fragments

Turning to non-covalent methods, Rod Hubbard (Vernalis) provided an update of the PAC-FragmentDEL approach which we highlighted last year. DNA-encoded libraries can be mind-bogglingly large, with more than a trillion molecules at Hitgen. The fragment set is much smaller, at just 130,000 members, but this is still two orders of magnitude larger than a typical fragment library. (Speaking of which, please make sure to fill out our library survey on the right-hand side of the screen if you haven’t already done so.) This increased chemical diversity increases the odds of finding rare molecules, such as molecular glues that bind to protein complexes rather than individual components.

 

Success stories are always plentiful at conferences. Timo Heinrich (EMD Serono) described using SPR to identify fragments that were optimized to orally bioavailable inhibitors of the anti-cancer target TEAD1, which we wrote about here. Mihir Mandal (Merck) described the use of fragment concepts in the development of clinical candidates targeting metallo-β-lactamases, an important cause of antibiotic resistance. Chris Smith described Mirati’s discovery of inhibitors against the anti-cancer target PRMT5/MTA, one of which has gone into the clinic (see here and here). And Tanweer Khan traced the origins of renin and plasmepsin inhibitors to work on the aspartyl protease BACE1 at Merck, which we wrote about here.

 

Sometimes we learn just as much from projects that don’t move forward, as illustrated in a nice talk by Haihong Wu. He and his AbbVie colleagues were interested in the tau protein, which is intrinsically disordered, making structure-based design difficult. Although a two-dimensional NMR screen identified several dozen fragment hits, these were hard to optimize, with sharp, non-linear SAR. Perhaps the covalent binders we mentioned above will be more advanceable.

 

Targeted protein degradation

Targeted protein degradation and induced proximity were major themes of the conference. We speculated several years ago that FBLD could be useful here, and this has turned out to be abundantly true.

 

E3 ligases attach ubiquitin to other proteins, marking them for degradation. More than 600 exist in the human genome, but only a handful have been co-opted for targeted protein degradation, and everyone is racing to find new and better ligands for the unexplored E3 ligases. Mary Matyskiela described how she and her colleagues at Neomorph are using fragment screening to identify such ligands. She said they have been able to use cryo-electron microscopy to guide structure-based design.

 

Dan Nomura’s second talk focused on finding ligands against E3 ligases, including UBE2D and RNF126. For both of these proteins small covalent ligands seem to be generally useful for causing degradation of target proteins, and because the chemical structures have been disclosed it will be fun to see them explored in more systems.

 

A significant focus for targeted protein degradation is to find ligands for E3s that are restricted to specific tissues or tumors. Steve Fesik (Vanderbilt) described using SAR by NMR to find ligands against three E3 ligases, including one not expressed in the heart, which could avoid cardiotoxicity. Steve also described using SAR by NMR to find nanomolar binders for β-catenin. These are being used to make degraders for this anti-cancer target.

 

Many of the molecules used for targeted protein degradation are well beyond conventional rule-of-five space as they contain binding moieties for the target of interest as well as an E3 ligase. Reflecting on his forty-year career as a medicinal chemist at Bristol Myers Squibb, keynote speaker Nicholas Meanwell noted that a beautiful drug is one that helps patients, not one that fits a set of metrics. For small molecule therapeutics, he observed, “the opportunities have never looked better.”

 

We’ll end on this note, but please feel free to leave comments about your highlights. And mark your calendar for April 1-4, when DDC returns to San Diego.

Fragments in the clinic: MK-8189

Just over seven years ago Practical Fragments highlighted work out of Merck describing the discovery and optimization of potent, selective inhibitors of phosphodiesterase 10A (PDE10A), a potential target for schizophrenia (see here and here). An open-access paper in the latest issue of J. Med. Chem. by Mark Layton and colleagues tells how these were ultimately advanced to a clinical compound.

 

To recap, a biochemical fragment screen identified the highly ligand-efficient compound 1, which was optimized to the potent compound 2. However, this molecule had poor pharmacokinetics and multiple other liabilities. Further optimization led to Pyp-1, which we noted at the time would make a good chemical probe.

 

The new paper continues SAR around the central ring, in particular to try to reduce lipophilicity. Also, the methyl-pyrazole in Pyp-1 was associated with high clearance in rats, so this substituent was replaced with a methyl-1,3,4-thiadiazole moiety. To cut a long story short, this ultimately led to MK-8189.

 

Not only is MK-8189 a picomolar biochemical inhibitor of PDE10A, it is a low nanomolar inhibitor in cells. Moreover, it shows excellent pharmacokinetics in rats and rhesus monkeys as well as selectivity against various off-targets such as CYPs and hERG. Importantly for a drug intended to reach the brain, the molecule is permeable, not effluxed, and achieves relevant concentrations in the rat striatum after oral dosing. Finally, it decreased psychomotor activity and improved episodic memory in rat models of schizophrenia. With all these positives, MK-8189 has been taken into the clinic.

 

Several lessons emerge from this story. First, as experienced drug hunters will recognize, systematic exploration of multiple positions is important to generate a molecule with the right balance of properties to become an investigational drug. Second, as the researchers note, ligand efficiency was roughly maintained throughout the optimization process. Finally, this publication is a reminder of the long lag that can occur between research and publication. We already mentioned that the first papers describing this series appeared in 2015, but according to ClinicalTrials.gov MK-8189 first entered the clinic a year earlier, in 2014. Our list of fragment-derived clinical compounds will forever be incomplete and out of date. But on a positive note, this means that fragments may be having even more of an impact than the list shows.

Review of 2022 reviews

The winter solstice is behind us in the Northern Hemisphere, which means 2022 is rapidly drawing to a close. As we have done for the past decade, Practical Fragments will spend this last post of the year summarizing conferences and reviews.

 

The remarkable progress in vaccines against SARS-CoV-2 allowed the full return of in-person conferences, and it was nice to see folks at CHI’s Discovery on Target in Boston and Drug Discovery Chemistry in San Diego. Nearly twenty reviews of interest to this readership were published, and these are covered thematically.

 

Targets

Several reviews cover the use of FBLD to target antiviral and antibacterial targets. Sangeeta Tiwari and colleagues at University of Texas El Paso cover both in an open access Pharmaceuticals review, focusing on tuberculosis and HIV, which often afflict the same individuals, leading to worse outcomes. The paper includes several tables with chemical structures, though the fragment origins of some molecules are not apparent.

 

Tuberculosis is caused by Mycobacterium tuberculosis, but there are more than 170 known members of the Mycobacteriaceae family. In an open access Int J. Mol. Sci. paper, the Tiwari group describes fragment-based approaches against these bugs. In addition to multiple examples, the review provides summaries of fragment finding methods and some of the challenges the field faces.

 

Another organism, Pseudomonas aeruginosa, infects the lungs of people with cystic fibrosis. In an open access Front. Mol. Biosci. paper, Tom Blundell and collaborators at University of Cambridge summarize fragment-based campaigns against this organism and its enzymes. The authors focus on structure-guided methods and note that the work is “at an early stage” but encouraging.

 

Switching to mammalian targets, Katrin Rittinger and colleagues at The Francis Crick Institute review (open access) applications of FBLD for targeting the ubiquitin system in Front. Mol. Biosci. The paper includes a nice table summarizing 15 examples that includes target, enzyme class, fragment binding mode, detection methods, and chemical structures of the fragment hit and optimized compound where applicable. Many of these are covalent modifiers; more on that topic below.

 

Finally, Tarun Jha, Shovanlal Gayen, and collaborators at Jadavpur University discuss “recent trends in fragment-based anticancer drug design strategies” in Biochem. Pharm. In addition to case studies (with chemical structures) of FBLD approaches against 18 oncology targets, the review covers fragment libraries, screening methods, optimization, and challenges.

 

Methods

Many of the targets above are challenging, and it’s always nice to be able to assess how challenging a project might be at the outset. In Curr. Opin. Struct. Biol., Sandor Vajda and collaborators at Boston University and Stony Brook University discuss (open access) “mapping the binding sites of challenging drug targets.” This is a brief, readable account of computational methods to identify hot spots, including allosteric ones. The authors examine the various small-molecule binding sites on KRAS and conclude that, due to “limited druggability,” the “other G12 oncogenic mutants will be very challenging.” Perhaps, but not impossible, as researchers at Mirati demonstrated earlier this year with the (open access) publication of a low (or sub) nanomolar KRAS^G12D inhibitor.

 

Among experimental methods used in FBDD, NMR is a mainstay, as demonstrated by Luca Mureddu and Geerten Vuister (University of Leicester) in Front. Mol. Biosci. (open access). The paper covers methods, successes, and challenges, focusing on three compounds that reached the clinic: AZD3839, venetoclax, and S64315.

 

In contrast to NMR, dynamic combinatorial chemistry (DCC) and DNA-encoded libraries (DEL) are used less frequently in FBLD. In RSC Chem. Biol., Xiaoyu Li and collaborators at University of Hong Kong and Jining Medical University discuss “recent advances in DNA-encoded dynamic libraries.” This concise paper covers lots of ground and does not understate the challenges.

 

Libraries

“The importance of high-quality molecule libraries” is emphasized by Justin Bower and colleagues at the Beatson Institute in Mol. Oncol. This highly readable and wide-ranging open access review covers all aspects of library design and use and includes comparisons of some of the major commercial vendors. An important point is that the “hit rate does not define the success of a library as it is more important to identify ligand-efficient and chemically tractable start points.”

 

Thus, even though shapely fragments may have lower hit rates than more planar aromatic fragments, they may still be worth including – if you can make them. In Drug Discov. Today (open access), Peter O’Brien and collaborators at University of York and Vrije Universiteit Amsterdam review synthetic strategies behind 25 “3D” fragment libraries. The tabular summary showing all the scaffolds emphasizes that most of these libraries are modest in size, with the largest being 102 members. Chemists will particularly enjoy the multiple synthetic schemes. The authors note the importance of “fragment sociability” to facilitate SAR and elaboration.

 

Covalent fragments

Special libraries are required for covalent fragment-based drug discovery, the most notable feature being the “warhead” that reacts with the protein target. These are the focus of a chapter in Adv. Chem. Prot. by Péter Ábrányi-Balogh and György Keserű of the Hungarian Research Centre for Natural Sciences. The review includes a table containing more than 100 warheads with associated mechanisms and amino acid selectivity.

 

The “reactivity of covalent fragments and their role in fragment-based drug design” is the focus in an (open access) Pharmaceuticals review by Kirsten McAulay and colleagues at the Beatson Institute. This is a nice overview of the field and contains several case studies. The authors conclude that “striking a balance between reactivity, potency and selectivity is key to identifying potential candidates.”

 

“Advances in covalent drug discovery” are reviewed (open access) by Dan Nomura and colleagues at University of California Berkeley in Nat. Rev. Drug Disc. This is a highly readable and comprehensive overview of the field. The authors differentiate between “ligand-first” approaches, in which a covalent warhead is appended to a known binder (such as here) and “electrophile-first,” in which “the initial discovery process is rooted in finding a covalent ligand from the outset,” such as for KRAS^G12C inhibitors.

 

Another broad overview of covalent inhibitors is provided by Juswinder Singh (Ankaa Therapeutics) in J. Med. Chem. Jus is a pioneer in the field, having published the first targeted covalent inhibitor in 1997. Of 1673 small molecules approved as drugs by the US FDA, only about 7% are covalent, and it wasn’t until recently that these have been intensively pursued. Part of the reluctance has been concerns over toxicity, but the paper suggests that – at least among kinase inhibitors – covalent drugs may actually be safer, perhaps due to conjugation of glutathione to the warhead and rapid clearance rather than formation of reactive metabolites.

 

Other

Whether covalent or not, thermodynamics plays a fundamental role in protein-ligand interactions, and this is the topic of an (open access) review in Life by Conceição Minetti and David Remeta of the State University of New Jersey. The paper covers a lot of ground, including drug discovery approaches, metrics (such as LE, LLE, etc.), isothermal titration calorimetry, case studies, and more. Importantly, the authors acknowledge the many challenges of applying thermodynamics to drug discovery, some of which we highlighted here.

 

Thermodynamics explains the potency increases longed for when doing fragment-linking, the subject of two reviews. In Chem. Biol. Drug Des. Anthony Coyne and colleagues at University of Cambridge provide a broad overview, starting with the historical theoretical background and newer developments. The bulk of the paper surveys published examples of fragment linking, with structure-based methods (whether X-ray, NMR, or computational) separated from target-guided methods such as DCC.

 

The second review, published in Bioorg. Chem. by Junmei Peng and colleagues at University of South China, is broader in scope, encompassing not just FBLD but also linkers used in PROTACs and even antibody-drug conjugates. The paper is organized by chemical structure of the linker.

 

Finally, in J. Med. Chem., Peter Dragovich, Wolfgang Happ, and colleagues at Genentech and Roche examine “small-molecule lead-finding trends” at their organizations between 2009 and 2020. (Although Genentech is fully owned by Roche, its research organization operates independently.) Fragment-based approaches led to only a small fraction of chemical series at Genentech and none at Roche. The authors note that leads derived from public sources such as patent applications were often found and pursued earlier, and that “purposeful dedication” of resources to fragment approaches may be necessary. Another major source of leads at Genentech is in-licensing, and some of these are fragment-derived.

 

And that’s it for 2022, year three of COVID-19. Thanks for reading and special thanks for commenting. May the coming year bring health, peace, and significant scientific progress.