As the title states, this is the
1000th 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.