Practical Fragments
has repeatedly warned about the dangers of what Jonathan Baell dubbed pan-assay
interference compounds, or PAINS (see for example here, here, and here). These
are compounds that hit numerous unrelated targets through mechanisms that can
charitably be described as “non-druglike”. Regrettably, many people still do not
recognize these nuisance compounds for the artifacts they are, and PAINS
continue to show up in high-profile fragment libraries. An unintentional
illustration of why this is a problem was recently published in J. Med. Chem.
The researchers were interested in STAT3, a popular oncology
target. They used a computational approach to extract fragments from reported
inhibitors and then recombined them into new molecules, a few of which were
made and tested. Unfortunately, some of the previously reported inhibitors were
PAINS, and, like HeLa cells contaminating cell cultures, the resulting
pathological fragments contaminated this research. The most active molecule out of this exercise, compound 8, is a para-quinone:
Quinones are troublemakers for two main reasons. First, they
can nonspecifically react with thiols (see figure), and STAT3 does indeed have
several free cysteine residues. Second, quinones are well-known redox-cyclers:
they can be reduced and then re-oxidize in air, generating reactive hydrogen
peroxide in the process.
The researchers showed that compound 8 is active in several
cell assays and a mouse xenograft tumor model, but of course any generic alkylator
could also show these effects (mustard gas, anyone?) and hydrogen peroxide is
itself an important second messenger. It is impossible to say whether the
activity of compound 8 is due to interaction with STAT3 on the basis of the
experiments reported in the paper. The only evidence that compound 8 interacts
with STAT3 at all comes from a fluorescence-based assay which appears to show
70% inhibition at >100 micromolar compound 8, a concentration far higher
than the cell experiments.
In other words, what this paper shows is that a quinone has
modest but ill-characterized biological activity. Of course, just because a
compound can be a bad actor doesn’t necessarily mean it is behaving as one, but
in the case of PAINS it is best to assume guilty until proven innocent. Indeed,
a figure in the Supporting Information shows that the compound also inhibits
STAT5 phosphorylation, supporting the notion that it acts through multiple
mechanisms.
We can do better than this.
I hesitated before writing this post – I don't want to come
across as a mean-spirited vigilante – but one of the strengths of science is
its self-correcting nature. Researchers should learn to recognize PAINS when
they inevitably show up as screening hits. If and when they don’t, editors and reviewers
evaluating manuscripts and grants have an obligation to hold them to account.
It is easy to ignore or shrug off sloppy science, perhaps
with a cynical chuckle, but papers like this fill me with a mixture of sadness
and outrage. This research consumed the time and efforts of four scientists,
not to mention scarce funding from the NIH and Alex’s Lemonade Stand Foundation, a charity founded by a young girl who subsequently died of her
cancer at the age of eight.
We owe it to society to stop wasting resources chasing
artifacts.
7 comments:
My comments:
http://www.quantumtessera.com/your-computation-is-only-as-good-as-your-experimental-follow-up/
Perhaps it would be good to have a PAINS database ?
Freely accessible, searchable, and commented ?
I believe one of the speakers from last week has that already. Her slides are not up yet, so I can't find the URL...when it is I will post it.
A searchable database of PAINS, with annotation, would be a great resource. In the absence of that, Jonathan Baell has released a number of structural filters:
http://pubs.acs.org/doi/abs/10.1021/ci300461a
Don't forget the follow-up PAINS paper with the open-source implementation of the filters:
http://dx.doi.org/10.1002/minf.201100076
http://www.myexperiment.org/workflows/2164.html
Hi Dan - well said. Eventually the message must get through. The clear disconnect between target and cell activity is really inexcusable. In response to accessible filters, I worked with David Lagorce and Bruno Villoutreix. See http://bioserv.rpbs.univ-paris-diderot.fr/FAF-Drugs/index.html where you can paste in up to 50,000 cpds in sdf and filter out PAINS.
As I said over on Pipeline the other day, we must start rejecting these papers. I've taken the lead and recommended outright rejection of two papers in the last couple of years that featured PAINS as the chemical matter.
Exceptions will be made in the (rare) case where their is convincing evidence that the activity is specific.
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