CHI’s annual FBDD meeting took place in San Diego this week, and since this was the
first time in a while both Teddy and I have been in the same place we’ve
decided to make this a joint post. As with last year this does not aim to be
comprehensive.
One of the highlights of the conference was a set of three
talks on BACE1 inhibitors from Amgen (Ted Judd), Lilly (David Timm), and Pfizer
(Ivan Efremov), the first two of which have been discussed here and here. It’s
nice to see fragments playing a pivotal role in delivering advanced leads and –
at least in the case of Lilly and Merck – clinical candidates against what has
been one of the most difficult drug targets in industry.
Speaking of difficult targets, Till Maurer of Genentech gave
a lovely presentation on using NMR-based fragment screening to discover
inhibitors of the holy grail of oncology, Ras. They’ve recently published some
of this story, which we’ll highlight in an upcoming post.
A common question is ‘how often do you find the same
fragment using different methods?’ (see here for an ongoing discussion on
LinkedIn). Cynthia Shuman from GE gave a nice case study in which she screened
the protein PARP15 against 987 fragments using a Biacore T200. Of the 15
fragments with shapely, well-behaved sensorgrams, 14 were confirmed by NMR. On
the other hand, only one of these hits was detected in a differential scanning
fluorimetry (thermal melt) assay.
Marcel Verdonk at Astex described general trends from mining
in-house and published data. After looking at 43 in-house targets, he found
that 8000 compounds had been tested against 2 or more proteins, and after
plotting by molecular weight found that, consistent with the original Hannian model, larger compounds are more selective. In a separate analysis of 53
fragments that had been advanced to leads, he found that in most cases the
initial fragment maintained roughly the same position and orientation from
start to finish.
Rod Hubbard, Teddy and I all ran round-table discussions,
but only Teddy kept notes, which are summarized here.
The topic started as a discussion of 2D vs. 3D fragment
libraries. In the recent Pfizer fragment build, a group of diverse chemists
eyed every compound, and at least five had to agree to each molecule before it
went into the library.
The discussion went briefly to the old fight: Are nitros
masked amines or noxious moieties? The
table ended up agreeing that if you would remove the nitro group or change it
anyways, why put it in the first place?
We then dove right back into the 2D vs. 3D debate. Kinases
seem to love 2D fragments, while other classes of targets seem to NEED 3D
fragments. One idea discussed was 3D fragments as complements to 2D fragments.
It was mentioned that 3D fragment libraries would need to be MUCH larger to
cover equivalent chemical space. I thought the idea that 3D fragments would be
exploring “vector” space rather than “chemistry” space would mean that you
could go with a much smaller library, if you want to use it for vector space
searching. It was also proposed that 2D fragments tend to be much smaller
(~150-180Da-ish) and 3D fragments would be, by necessity, bigger (~250 Da).
The topic then changed to SBDD (structure-based drug
discovery) as part of FBDD. Most people at the table were of the opinion that
they wouldn’t use FBDD (on a normal priority target) without SBDD. And with
SBDD, you don’t need 3D fragments to explore vector space since you will have
the X-ray to guide you.
The point was made that 3D fragments also HAVE to be
scaffolds which would end up in the final compound. If you are simply using a
scaffold to explore vector space without any hope of it ending up in the final
product, why bother. [TZ Note: I think this is very shortsighted and people do
not understand that targets will most likely NOT have SBDD to guide them, at
least in the fragment-based lead generation stage.]
The question was asked to the table: is FBDD a valid
approach in the absence of structure? Three people said yes, the rest (~8) said
no. All three who said yes were small company/ CRO people. Everyone agrees if
you do go with FBDD without structure you need to have a HEAVY investment in
biophysics to characterize the protein and the hits.
One person asked about low confirmation hits following a
fragment screen: the table agreed that this is most likely the result of the
library being “wrong”. We finished the discussion by asking if 2D fragments are
more pan-class (not targeted to a specific class of targets) and 3D fragments
may be more target-focused. The resounding answer was “Who knows, but why would
they be?”
As this post is already getting long we’ll stop here, but
for those of you who were also at the conference please add your comments. And
if you missed this one, there are still several exciting upcoming events this
year!
Posts
6 comments:
I really wish people would stop talking about '2D fragments' and remember that atoms have Van der Waals radii. I would guess that hexamethylbenzene would be flatter (think of minimum distance apart of two parallel plates in contact with molecules) than diphenylmethane. Fraction of sp3 carbons isn't going to be much use here.
I found it very interesting that so few scientists think that FBDD is a valid approach in the absence of structure. I would agree that looking at the x-ray structure of an initial fragment can reduce considerably the number of compounds you would have to make to convert the low affinity fragment into a potent molecule. However, in the "old days" of drug discovery , no structures were available and still drugs were discovered. To my opinion, it would still be possible to use a fragment approach in the absence of structure. You would just have to build hypothesis on the binding mode of your fragment then make molecule to demonstrate that your binding mode is valid. I hope in the future,more adventurous scientists would try to optimize fragment hits without structure and demonstrate the validity of this approach.
The view that protein structural information is an absolute requiremewnt for FBDD may reflect the types of target (e.g. soluble enzymes) that the approach has been mainly used against. The targets most suitable for fragment screening by biophysical methods (e.g. SPR, NMR) are often those which are most amenable to protein structural studies.
That said, FBDD in the absence of protein structure will require a lot of synthesis. The chemists will need to start thinking about benzene rings as synthetic handles rather than as substituents. FBDD without protein structures will require a lot of careful, iterative (and honest) hypothesis-driven design.
My own view is that FBDD is primarily just a smart (i.e measure rather than rely on a flakey scoring function) way to do structure-based design. In the absence of structural information, FBDD becomes less competitive with HTS (which is not an option for many organisations). The number of target classes for which nothing is known about the structure will continue to decrease even if a crystal structure is not available for the specific target of interest.
Interesting comments Pete. Maybe we can start getting more people to share their opinion on the question.
I just would like to add something.
What if you do not have structural information but you have a lot of SAR available? Several patents, papers have been published on this particular target so if you have a fragment hit, you would have an idea of what to do with it based on the SAR available. I would think that in this case you can do FBDD without structure. As you nicely mention in your last commment, FBDD is less competitive with HTS in the absence of structure but this is true only if this is a new target with no SAR available.
Generally, having a lot of SAR means that you already have elaborated leads and are well set up for scaffold-hopping. That said, there is still scope for using fragments to establish further SAR efficiently (i.e. in terms of compounds synthesised). To do this, you will still need a reliable assay that is capable of measuring weak affinity. In FBDD, the power of the assay is defined (and limited) by the weakness of binding that can be measured.
As an xray crystallographer that saddens me a little bit. Some things are (next to) impossible to crystallize without a good ligand.
How was the age distribution between the people who thought FBDD was possible without SBDD and those who didn't by the way?
Post a Comment