New publication: Predicting resistance is (not) futile

Our “First Reactions” article has been published in ACS Central Science. We discuss the paper, Predicting Kinase Inhibitor Resistance: Physics-Based and Data-Driven Approaches, by Matteo Aldeghi, Vytautas Gapsys and Bert de Groot, which is in the same issue of the journal.

Aldeghi et al. apply a series of methods to try and predict the effect of individual mutations on how well tyrosine kinase inhibitors bind to the Abl kinase. These methods include not only alchemical free energy methods but also machine learning.

You can read it here.

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