GenomicsNature BiotechnologyPeer-reviewed
Probing molecular specificity with deep sequencing and biophysically interpretable machine learning
H. Tomas Rube, Chaitanya Rastogi, Siqian Feng…·Harmen J. Bussemaker
The paper introduces ProBound, a machine learning framework that quantifies biophysical parameters of protein-ligand interactions using NGS data, and couples it with Kd-seq to determine absolute affinities.
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