Drug dev, computational biology, biomedicine. Inadvertent parody. Views mine, not my employer @GSK

London, UK
Joined July 2009
Been interviewing job candidates lately, and been seeing a lot of people who I know are better than they came across. Some thoughts about how to improve your interview performance - a megathread of loosely organized thoughts and opinions ...
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Has anyone used #DMRcate with twist panels for denovo calling of differentially methylated regions? It looks like it's entirely possible but I'm not sure if there's some hidden catch I'm missing #epigenetics #methylation @TwistBioscience
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'The year 2000 was essentially the point at which it became cheaper to collect information than to understand it.' -- Freeman Dyson
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138 drugs in the Alzheimer's pipeline 📈 - 9% growth from last year - 74% target the disease itself (not just symptoms) - 182 trials actively recruiting worldwide Key shift: We're moving BEYOND amyloid to 15 different disease targets. This is what progress looks like.
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The micropipette—that ubiquitous tool found in laboratories around the world—was invented by a 32-year-old German postdoc in 1957 after a particularly productive two-day tantrum. That first device, made by Heinrich Schnitger, had “all the essential features of the modern pipette,” according to a close witness of the invention, including a spring-loaded piston, second spring to shoot out residual liquid, and plastic tip. Although the modern micropipette begins with Schnitger’s exasperation, his own story, sadly, ends in 1964, when he went for a swim in a Bavarian mountain lake and drowned.
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Amen
I would give a lot to get the years back I wasted under this system. Years that could have been been used building stuff that helps people, working for reasonable pay, and not just adding publications few will read to pad a CV that is no guarantee of long term job stability.
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Eventually, all biotech/pharma will just be licensing deals.
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The greatest feeling you can have as a scientist is realizing you’ve discovered something that no one else in the world knows yet When this happens, put your pencil down, take a deep breath and savor those three minutes before someone points out it was published fifty yrs ago
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Paul Agapow retweeted
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Paul Agapow retweeted
"About a quarter of the approximately 13,600 drug-target pairs in the current preclinical and clinical R&D pipeline are concentrated around just 38 unique biological targets." - LEK. This is astonishing & a huge misappropriation of risk by investors. lek.com/insights/hea/us/ei/b…
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Paul Agapow retweeted
Claude 4 just refactored my entire codebase in one call. 25 tool invocations. 3,000+ new lines. 12 brand new files. It modularized everything. Broke up monoliths. Cleaned up spaghetti. None of it worked. But boy was it beautiful.
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Paul Agapow retweeted
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My Hot Take: The more a healthtech founder is in the press, the less likely their product has, you know… actual evidence. It’s a statistically significant inverse correlation—and yes, we ran the regression
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I'm oddly delighted at how the ads on Twitter are now like something that you'd see after midnight on the most regional of TV stations
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Much of the focus in medical innovation today is on the invention step and the inventors - i.e., on who was first to state the core idea in a permanent medium. In a world where approximately every possible permutation of disease, gene, biomarker, pathways, etc. has already been uttered, this has become somewhat absurd. The societal perception of what is valuable is now almost the complete opposite of what actually is valuable in medical innovation. Coming up with a reasonable-sounding idea is today the *easiest* part of the process - in fact, there already is a nearly inexhaustible stream of such ideas available in literature. The vast majority of which never get beyond the stage of being stated. If you listen to recent medical innovators that actually delivered innovations all the way to patients, such as Dr Karikó (mRNA) and Dr Knudsen (GLP1), you will hear that the hardest part was in overcoming the obstacles that one faces after an idea is uttered - i.e. in the persistence and perseverance of the innovators to push their ideas to fruition. I wonder to what degree the lopsided perception of what is valuable is what leads to the current lopsided allocation of resources. Would we have more medicines if the highest honor for scientists would be to persist and persevere on a small set of ideas until they are conclusively proven or disproven? What would a world look like where we valued validation over invention?
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Two things can simultaneously be true: 1. In absolute terms, we’ve made tremendous progress in understanding biological systems in the past 50 years. 2. Relative to the full complexity of these systems, our current understanding is approximately 0%.
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If the structural similarity between hemoglobin and chlorophyll doesn't fascinate you, then I'm not sure we can be friends.
Readers added context they thought people might want to know
Even though the base configuration of the molecules is similar, both images are incorrect. Hemoglobin is missing C-bonds & double bonds are incorrect. Chlorophyll Phytol tail is misrepresented & many bond angles are incorrect. researchgate.net/figure/Structu… researchgate.net/figure/The-che…
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A computer scientist’s perspective on vibe coding:
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Let’s dream a bit. How would you dramatically reorg biotech research / drug development to make dramatically faster progress towards curative therapies? (Don’t say “use AI”, hypothesis/candidate generation under current structure isn’t a bottleneck)
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Paul Agapow retweeted
AGI will emerge this year… or in the coming years. We are going to Mars this year… or in the coming years. We are curing cancer this year… or in the coming years. Everyone will be a millionaire this year… or in the coming years. These people are bullshit artists.
A consensus has emerged among AI leaders that AGI - the level of AI needed to take most jobs - will emerge this year or in the next few years. I believe it will begin to emerge this year and will be fully general before 2030, doing all jobs much better than humans. However, many people who accept this timeline for AGI believe that it will somehow take decades to be implemented. Services provided by AI in the next few years will be thousands of times cheaper and thousands of times faster than humans while producing better results. Manual labor performed by AI through humanoid robots will be ten to over one hundred times cheaper than human workers. The free market will decide. Why would consumers continue to use services that are slower, worse, and far more expensive? Why would companies continue to use more expensive human workers? Companies won't have a choice. When consumers won't buy their more expensive products, they will be forced to use AI or go out of business.
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