Hi all,

Our next online industry talk will be given by Huafeng Xu of Atommap (see title 
and abstract below) on Wednesday 26 July 2023 at 3:30 pm UK time. Registration 
is free, but required to get the Zoom link. Details and link to registration 
can be found at 
www.ccpbiosim.ac.uk/atommap2023<http://www.ccpbiosim.ac.uk/atommap2023>.

Best wishes,
Sarah

Title: Computation-driven drug discovery

Abstract: We are witnessing a rapid rise of computation in the drug discovery 
industry.  The renewed excitement about computational modeling is attributable 
to the dramatic growth of computing power and substantial and continuous 
improvements in the models of computational chemistry and biology, including 
both progress in mature physics-based models and the emergence of deep neural 
network (DNN) and other machine learning models.  Here, I illustrate the use of 
multi-scale, multi-fidelity molecular modeling in computation-driven drug 
discovery, focusing on exploiting the conformational dynamics in biomolecules 
to enable new therapeutic opportunities.  By incorporating biophysical data, 
such as hydrogen-deuterium exchange (HDX) and nuclear magnetic resonance (NMR), 
into molecular dynamics simulations (augmented by enhanced sampling 
techniques), we turn the low-resolution experimental measurements into accurate 
models of structural ensembles of proteins at atomistic resolution, yielding 
novel structural hypotheses for drug design.  Using this approach, we have 
optimized a small molecule agonist for both affinity and stabilization of the 
active conformation of Stimulator of Interferon Genes (STING) and rapidly 
advanced the program into clinical trial, and we have designed an active 
targeted protein degrader of SMARCA2 based on a modeled conformation of the 
SMARCA2-degrader-VHL ternary complex previously unobserved but subsequently 
confirmed in crystallography.  I discuss the path to general application of 
computation-driven drug discovery.

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