Last week saw the first-ever fragment-based symposium at Pacifichem.
These are massive meetings held in Honolulu every 5 years to bring together
scientists from countries surrounding the Pacific. Competing with views like
this can be challenging.
Nonetheless, Practical
Fragments is happy to report that the symposium was popular, with some
talks at close to standing-room-only capacity. There were over 40 presentations
and posters from eight countries, and Derek Cole (Takeda) and Chris Smith (Coi)
also chaired a lively round-table discussion. I’ll just try to convey a few
broad themes.
The utility of “three-dimensional” fragments (as opposed to “flatter”
aromatic fragments) came under fire. Jane Withka of Pfizer reported that a
small library of 400 fragments, 80% of which had chiral centers, produced lower
hit rates and lower confirmation rates in SPR screens than her company’s original fragment library, consistent with what Astex reported.
Another theme was decreasing the concentration at which
fragments are screened. Tom Peat (CSIRO) said that even weak (1-10 mM) hits can
be found by screening fragments at 100-200 µM using SPR. This seems to be
something of a “sweet spot;” aggregation artifacts become significantly more problematic
at higher concentrations. For native mass spectrometry, even 10 µM fragment
seems to work well, though Tom has a rather impressive MS instrument.
Similarly, commentator sgcox noted that DSF is best conducted below 100 µM fragment
concentration.
As we noted six years ago, fluorine NMR is also ultrasensitive.
Brad Jordan (Amgen) stated that he routinely detects 4-5 mM binders even when
screening fragments at 20 µM. Brad also discussed an update of work we covered previously, in which a fragment-linking approach ultimately led to picomolar
inhibitors of BACE1. Continuing the fluorine theme, Ray Norton (Monash
Institute of Pharmaceutical Sciences, MIPS) described his group’s work with
protein-observed 19F NMR. Clearly more people are catching the fluorine bug, as attested by its popularity in our recent poll.
NMR in general was well-represented. In addition to standard
approaches, Bill Marathias (Beryllium) used NMR to find hits against microRNA 21,
Ivanhoe Leung (University of Auckland) used boron NMR as part of a dynamic combinatorial chemistry program, Biswaranjan Mohanty (MIPS) described
methyl-specific labeling, and Shigeru Matsuoka (Osaka University) discussed
solid-state NMR.
Crystallography remains king when it works, though several
speakers noted that they had obtained dozens or even hundreds of structures of
their protein without capturing a bound fragment. And even successful
protein-ligand structures can mislead; Carsten Detering (BioSolveIT) reported
that his computational approach detected problems in about half of 107
published structures. Still, structures can be extraordinarily useful: we
recently highlighted an AstraZeneca paper that released dozens of structures,
and Greg Warren (OpenEye) used these to address questions about solvation. What’s
more, crystallographers are looking to improve things: Janet Newman (CSIRO)
highlighted an app called Cinder (“Crystallographic Tinder”) to speed up the
identification of protein crystals. It’s available for Android, with an iOS
version coming soon.
Of course, although the science is fun, the ultimate goals
of fragment-based drug discovery are better drugs, and here too we are making
progress. Jane Withka noted that several Pfizer kinase candidates had come from
fragments. Tatsuya Niimi provided an overview of fragment projects at Astellas
between 2009 and 2014: of 88 programs, 15 have produced compounds with IC50
values < 200 nM. Not counting projects that were dropped for strategic
reasons or are still in progress, this is an overall success rate of 43%. As
expected, the successful targets were computationally predicted to be more
tractable than those that failed, though unexpected conformational changes or covalent approaches proved that at least one “undruggable” target may need to be
reclassified.
Gianni Chessari (Astex) provided an update of their cIAP/XIAP program and revealed that ASTX660 has recently entered a phase 1-2 clinical
trial for cancer. I learned of another drug that has just entered clinical
trials, though as its fragment origins have not yet been disclosed I’ll defer
naming it. In any case, I’m looking forward to adding several new molecules the
next time I update the list of fragment-derived clinical programs.
At the other end of the clinical spectrum, Chaohong Sun
(AbbVie) briefly touched on their late-stage ABT-199, which is expected to be
approved in the near future. And Daniel Wyss discussed Merck’s BACE1 inhibitor
MK-8931, or verubecestat (see here for a nice summary in C&EN), which is in
phase 3 clinical trials for Alzheimer’s disease (AD). The results, expected in
early 2017, will be either a new hope for the millions of patients with AD –
and the billions of people who hope to live long enough to one day be at risk –
or a colossally expensive disappointment. Either way, they will provide the
best test yet of the amyloid hypothesis.
I could go on but will instead end here – just as higher fragment
concentrations lead to more artifacts, more words likely lead to fewer readers.
Thanks to all who presented, organized, and sponsored the symposium. If you
attended, please share your thoughts!
Cheers to more protein-observed fluorine NMR!
ReplyDeleteI enjoyed being able to hear much more about the fragment based work from the South Pacific than have been able to at other conferences. One of the most interesting reports was the work you showed being able to add 8K+ R-groups to fragments (in a single day) with no measurable affinity for hit generation.
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