Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets-Reference-Cited by-同舟云学术

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets

Author:

Zorn Kimberley M.¹,Lane Thomas R.¹,Russo Daniel P.¹²,Clark Alex M.³,Makarov Vadim⁴,Ekins Sean¹^ORCID

Affiliation:

1. Collaborations Pharmaceuticals, Inc., Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States

2. The Rutgers Center for Computational and Integrative Biology, Camden, New Jersey 08102, United States

3. Molecular Materials Informatics, Inc., 2234 Duvernay Street, Montreal, Quebec H3J2Y3, Canada

4. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospekt 33-2, Moscow 119071, Russia

Funder

National Institute of General Medical Sciences

Russian Foundation for Basic Research

National Institute of Neurological Disorders and Stroke

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Link

Reference92 articles.

1. WHO HIV/AIDS. http://www.who.int/news-room/fact-sheets/detail/hiv-aids.

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