Computational biologist. Professor. Co-Director of Disease Mechanisms and Therapeutics Training Area @IcahnMountSinai. Opinions are mine. #DrugDesign#AI
Allosteric Inhibition of PKMYT1 Induces a Unique, Inactive ATP Binding Site Conformation | Journal of the American Chemical Society pubs.acs.org/doi/10.1021/jac…
New paper from the lab. Using AI-guided modeling and experiments, we identified a hidden allosteric pocket in the cancer kinase PKMYT1. Led by @NHerrington24 in collaboration with @LazarusLabpubs.acs.org/doi/full/10.102…
AI accurately captured a known kinase conformation, but missed the cryptic pocket observed experimentally. We also found that subtle chemical changes can shift molecules between distinct binding modes, highlighting the need to combine computation and experiments in drug discovery
Great The Scientist piece: two harmful mutations can restore protein function—challenging how we view genetic risk. I share my take on the structural logic behind this and relevance to drug discovery.
My perspective the-scientist.com/two-harmfu…
Original study pnas.org/doi/10.1073/pnas.25…
My interview with Technology Networks on rethinking target-based drug discovery. We discuss why target-first approaches often fail and how AI and structure-guided methods can better link targets to therapeutic impact.
tinyurl.com/5evzw7h8#DrugDiscovery#AIDrugDiscovery
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Do you know what a PhD in Biomedical Sciences or Neuroscience can do for your career? Join us tomorrow from 4-5pm ET for a special information session featuring alumni from the Graduate School of Biomedical Sciences: mshs.co/4eWFLxw
Our latest work: As it turns out different positive allosteric modulators bind to different sites at the mu opioid receptor. Find out more in our @biorxivpreprint.
biorxiv.org/content/10.1101/…
Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. Despite AI’s use at each step, the billion-dollar question is whether it can bring a larger number of novel drugs to market. cen.acs.org/physical-chemist…
A postdoc position is open in my lab to develop AI/ML models for predicting functional effects of genetic variants and to lead large-scale PheWAS in major biobanks. Strong programming skills, a solid publication record, and a background in human genetics are required.
Today, @NIH announced a new policy to cap how much publishers can charge NIH-supported scientists to make their work publicly accessible. This reflects our broader effort to restore public trust in public health by creating an open, honest, and transparent research atmosphere.
Read more ➡️ bit.ly/4nCdIbl
Maybe @Google or @GoogleDeepMind should fund CASP, given their ample resources and how much they've benefited from the efforts of John Moult, Krzysztof Fidelis, Andriy Kryshtafovych, Nick Grishin, and many others.
science.org/content/article/…