Prediction of Binding Affinities for TIBO Inhibitors of HIV-1 Reverse Transcriptase Using Monte Carlo Simulations in a Linear Response Method-Reference-Cited by-同舟云学术

Prediction of Binding Affinities for TIBO Inhibitors of HIV-1 Reverse Transcriptase Using Monte Carlo Simulations in a Linear Response Method

Published:1998-12-01 Issue:26 Volume:41 Page:5272-5286
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Smith, Richard H.¹,Jorgensen William L.¹,Tirado-Rives Julian¹,Lamb Michelle L.¹,Janssen Paul A. J.¹,Michejda Christopher J.¹,Kroeger Smith Marilyn B.¹

Affiliation:

1. Department of Chemistry, Western Maryland College, Westminster, Maryland 21157, ABL-Basic Research Program, NCI−Frederick Research and Development Center, P.O. Box B, Frederick, Maryland 21702-1201, Department of Chemistry, Yale University, New Haven, Connecticut 06520-8107, and Janssen Research Foundation, CMD, Antwerpsesteenweg 37, B-2350 Vosselaar, Belgium

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jm9804174

Reference45 articles.

1. Review of HIV-1 reverse transcriptase three-dimensional structure: Implications for drug design

2. Nonnucleoside reverse transcriptase inhibitors that potently and specifically block human immunodeficiency virus type 1 replication.

3. The structure of unliganded reverse transcriptase from the human immunodeficiency virus type 1.

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