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Accelerating high-throughput virtual screening through molecular pool-based active learning

David E. Graff, Eugene I. Shakhnovich, Connor W. Coley

Chemical Science · 2021 · CC BY

doi:10.1039/d0sc06805e

Abstract

Bayesian optimization can accelerate structure-based virtual screening campaigns by minimizing the total number of simulations performed while still identifying the vast majority of computational hits.

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