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

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Year: 2015
Type: article
Source: Molecular Informatics
DOI: 10.1002/minf.201400132
Authors: Hongjian Li, Kwong‐Sak Leung, Man‐Hon Wong, Pedro J. Ballester
Institutions: Chinese University of Hong Kong, Centre National de la Recherche Scientifique, European Bioinformatics Institute, Inserm, Aix-Marseille Université, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, Wellcome Trust
Language: English

Topic: Computational Drug Discovery Methods
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funder: Agence Nationale de la Recherche
Award: INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE
OpenAlex ID: W2022998385
FWCI: 13.31
Cites: 67
Cited by: 252
Related to: 10
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