Improving AutoDock Vina Using Random Forest: The Growing Accuracy of Binding Affinity Prediction by the Effective Exploitation of Larger Data Sets. (2015)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/minf.201400132

PubMed Identifier: 27490034

Publication URI: http://europepmc.org/abstract/MED/27490034

Type: Journal Article/Review

Volume: 34

Parent Publication: Molecular informatics

Issue: 2-3

ISSN: 1868-1743