Open AccessMachine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae
Author(s) -
Janaína Cruz Pereira,
Samer S. Daher,
Kimberley M. Zorn,
Matthew Sherwood,
Riccardo Russo,
Alexander L. Perryman,
Xin Wang,
Madeleine J. Freundlich,
Sean Ekins,
Joel S. Freundlich
Publication year - 2020
Publication title -
pharmaceutical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 206
eISSN - 1573-904X
pISSN - 0724-8741
DOI - 10.1007/s11095-020-02876-y
Subject(s) - neisseria gonorrhoeae , chembl , drug discovery , workflow , in silico , machine learning , small molecule , computational biology , computer science , virtual screening , artificial intelligence , chemistry , bioinformatics , biology , microbiology and biotechnology , biochemistry , database , gene
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