21 September 2020
13 September 2020
07 September 2020
31 August 2020
Most of the talks were pre-recorded, which meant that speakers could answer questions in real-time in a chat box. More importantly, the talks are available to attendees for a year, which means you can watch relevant talks from other tracks, thus relieving the FOMO inevitably experienced in meetings of this sort. It also means you can replay particularly relevant talks to your colleagues, though I wonder if this also makes speakers wary about disclosing the freshest information. The on-demand access to posters is especially useful, as it is too easy to overlook these in the usual melee. The organizers also did a nice job of trying to foster the feel of an in-person meeting, with multiple live Q&A panels, breakout sessions, and other interactive events.
There are drawbacks, chief among them the lack of spontaneous and serendipitous meetings that are one of the main benefits of in-person conferences. And of course there were technical snafus. Most talk slots were only 20 minutes, but some of the pre-recorded talks went as long as 28 minutes, forcing attendees to choose between missing part of one talk or another (or a live Q&A). Although you can fast-forward, it would be nice if you could also speed up playback speeds. And on at least one occasion the wrong talk was played, though I was able to go back and watch the correct one later.
But enough about process, what about the event itself? With dozens of talks over four days I can’t be exhaustive, so please add your thoughts to the comments.
Key to the success of these types of approaches is what plenary speaker Phil Baran (Scripps) calls “boring chemistry” that consistently works in multiple contexts. To Phil, inventing chemistry that becomes boring is a great compliment, and he showed examples of running interesting transformations in tea, beer, and wine. As the name of this blog suggests, I have a soft spot for this sort of thing, and wholeheartedly agree with his statement that “you can’t give a Nature paper to a cancer patient.”
Alexander Statsyuk (University of Houston), Maurizio Pellecchia (UC Riverside), and Nir London (Weizmann Institute) all also discussed covalent lead discovery. Maurizio has been targeting lysine residues using sulfonyl fluorides and fluorosulfates; for the latter warhead he has been able to show reasonable pharmacokinetics in rodents. We’ve previously discussed some of Nir’s work, but here he described a nice case study against the challenging anti-cancer target Pin1 which led to potent and surprisingly selective chloroacetamides with activity in mice.
Interestingly, while chloroacetamides were the main class of MPro fragment hits, the three most advanced lead series Frank mentioned are all non-covalent. There were plenty of other nice non-covalent fragment-based success stories too, including potent selective inhibitors of the lipid kinase Vps34 (Jenny Viklund, Sprint Biosciences) and selective inhibitors of one kringle domain of apolipoprotein(a) (Jenny Sandmark, AstraZeneca).
Amit Gupta described NanoTemper’s new Dianthus instrument, which relies on the temperature-related intensity change (TRIC) of a fluorophore bound to a protein. This is similar to their MST approach though it appears to be higher-throughput, and a paper benchmarking these techniques against DSF and SPR should be coming out later this year.
Also on the subject of thermal shifts, Justin Hall (Pfizer) gave a provocative presentation on using these to determine ligand affinities. He noticed a correlation in his own research, but the prevailing wisdom held that irreversible thermal denaturation (as seen for most proteins) would not provide thermodynamic parameters. Nonetheless, perhaps because proteins are fundamentally similar (consisting as they do of chains of 20-odd amino acid residues), the temperature-dependent Arrhenius functions and activation energies of unfolding are also similar, and thus for heating rates of 4°C/minute and 100 µM ligand one can extract dissociation constants. However, he did mention that this approach is restricted to reasonably tight ligands (KD < 20 µM). Also, if a ligand binds to the unfolded state of the protein, or to multiple sites, all bets are off.
In the interest of time I’ll stop here, but if you’d like to experience a virtual conference yourself, there will be a number of good FBLD talks at Discovery on Target next month, and I hope to “see” you there. But I especially hope that in-person conferences will resume next year once our industry – and competent governments – get COVID-19 under control.
24 August 2020
Of the dozen-plus methods to find and characterize fragments, only two have historically been able to provide detailed binding information: protein-detected NMR and X-ray crystallography. Earlier this year we described how researchers at Astex are using cryo-EM for FBLD. In a new open-access Communications Biology paper, Hongyi Xu and collaborators at Stockholm University, Lund University, and SciLifeLab describe another variation of cryo-EM.
Microcrystal electron diffraction (MicroED) is something of a cross between standard crystallography and cryo-EM. Like more “conventional” cryo-EM, an electron microscope is used to collect data on flash-frozen samples. But rather than painstakingly reconstructing thousands of images of individual protein molecules, MicroED uses diffraction of electrons from crystals that are far too small for standard X-ray crystallography. Even though electrons rather than photons are being scattered, diffraction is diffraction, so well-established X-ray crystallography methods can be used for processing MicroED data.
The researchers focused on human carbonic anhydrase II (HCA II), a popular model protein that has also been used to showcase X-ray crystallographic, native MS, and SPR methods. The microcrystals were less than 500 nm thick, smaller than most bacteria and at least 100-times smaller than typically used for X-ray crystallography. MicroED data were collected on microcrystals of native HCA II as well as microcrystals that had been soaked for 20 minutes with the known ligand acetazolamide. At just 13 heavy atoms, this approved drug is still comfortably a fragment.
Data were collected to 2.5 Å resolution, which is modest especially compared with the 1.1 Å resolution of a published crystal structure. Nonetheless, the ligand density was clearly visible, and the refined model was very similar to the published crystal structure as well as another published structure of the complex determined by neutron diffraction. The researchers note that the observed features are similar to those that could be expected of a crystal structure solved at the same resolution.
The researchers note several potential advantages of MicroEM over X-ray crystallography. It can sometimes be difficult to obtain sufficiently large crystals for crystallography, particularly when protein is limited. Smaller crystals may allow faster diffusion of ligands into the crystals. And at higher resolution, individual hydrogen atoms are more easily resolved using electron diffraction than X-ray diffraction.
Will these advantages be enough to make MicroED a truly practical method for FBLD? It is not clear from the paper how long the data collection and processing took, HCA II is a friendly protein to work with, and acetazolamide is a high affinity ligand. That said, MicroEM was first described only in 2013, and this paper demonstrates that ligand binding modes can be determined. It will be fun to watch this technique develop.
17 August 2020
The RAS family of proteins is implicated in roughly one third of cancers, and as such has been a long-standing target for drug discovery. Earlier this year we highlighted how covalent fragment-based approaches were instrumental in discovery of direct KRAS inhibitors. A recent paper in J. Med. Chem. by Stephen Fesik and colleagues at Vanderbilt University takes a more unusual approach.
RAS proteins are activated when guanine exchange factors (GEFs) such as Son of Sevenless 1 (SOS1) exchange GDP for GTP. Clinical compounds bind to a mutant form of KRAS and block this process. Previous high-throughput screening in Fesik’s group had found molecules that bind to and activate SOS1-mediated nucleotide exchange. While it might seem counterintuitive to activate a known oncogene, these molecules can actually block downstream RAS signaling by inducing a feedback mechanism. Here, the researchers used fragment screening to look for a new series.
The catalytic core of SOS1 is ~65 kD, relatively large for the protein-detected NMR methods beloved of the Fesik group, so they produced proteins in which the methyl groups of Ile, Val, Leu, and Met were 13C-labeled. Selective Ile to Ala mutations allowed them to assign the various methyl groups. An 1H-13C HMQC screen of nearly 14,000 fragments yielded 59 hits (~0.1%), all quite weak: only five had dissociation constants better than 1 mM. Crystal structures were obtained for 16, revealing that all of them bind in the same site previously identified (see also here for similar work from a different group).
Fragments F-4 and F-7 bound in similar positions as each other and also as the HTS-derived compounds, so the researchers merged them to yield molecules such as compound 1b, with improved affinity and ligand efficiency.
Crystallography suggested that a nearby aspartic acid residue could be engaged through fragment growing, leading to molecules such as compound 2d. In addition to low micromolar affinity, this molecule also activated SOS1-mediated nucleotide exchange. In a cell-based assay, the compound caused enhanced phosphorylation of downstream target ERK at low concentrations and decreased phosphorylation at high concentrations, similar to what had been seen for the earlier series of molecules. Presumably, the biphasic response is due to a negative feedback loop that ultimately clamps down RAS signaling.
This is a nice example of structurally enabled fragment-merging and growing, assisted by knowledge of other ligands. While the compounds are probably not sufficiently potent to serve as chemical probes, they could be useful starting points. Activating the RAS pathway may or may not be a good approach for treating cancer, and we need suitable chemical tools to answer this question.
10 August 2020
Advancing fragments in the absence of structural information has a reputation for being so challenging that some people do not even attempt it. Modeling can help, but what if you could improve your odds by designing your library strategically? This approach has been demonstrated in a recent J. Med. Chem. paper by Masakazu Atobe and colleagues at Asahi Kasei Pharma.
To facilitate fragment merging, the researchers synthesized a library of 5000 substituted isoquinoline fragments. As illustrated by the drug fasudil, isoquinoline is a privileged pharmacophore for binding to the hinge region of kinases. Importantly, isoquinoline has 7 different positions from which to grow: screening monosubstituted versions would potentially allow rapid merging of hits. This approach is conceptually similar to that used to discover vemurafenib.
The target of interest was protein kinase C ζ (PKCζ – that’s a zeta, by the way), one of the 11 members of the PKC family that has been implicated in diseases ranging from diabetes to cancer. Previously reported inhibitors are insufficiently potent or selective, in part because no crystal structure of the kinase has been reported. The researchers were interested in developing a chemical probe to better understand the biology.
A biochemical screen of the 5000-member isoquinoline library at 100 µM yielded just a dozen hits, with IC50 values ranging from low to mid-micromolar. Importantly, substituents were found at four different positions, thus facilitating fragment merging. The researchers first merged fragment 6 with fragment 8, resulting in mid nanomolar inhibitor 10. Further optimization yielded compound 21, which is highly selective for PKCζ in a panel of 216 kinases and also has good pharmacokinetic properties in mice. However, cell potency is relatively modest.ligandable PKCζ is, or whether a library built around a different privileged pharmacophore would yield a higher hit rate. Lower expected hit rates necessitate larger libraries; 5000 fragments is already more than average according to our poll. And of course, if you are going to build a library of thousands of similar fragments, you had better be certain you choose one that has good pharmaceutical properties, further limiting your choices. Despite all these cavaeats, clearly the investment paid off for PKCζ. It will be fun to see what else comes out of this effort.