Work

Homology Modeling Using Multiple Molecular Dynamics Simulations and Docking Studies of the Human Androgen Receptor Ligand Binding Domain Bound to Testosterone and Nonsteroidal Ligands

Year: 2001

Type: article

Source: Journal of Medicinal Chemistry

DOI: 10.1021/jm0005353

Authors: Craig A. Marhefka, Bob M. Moore, Thomas C. Bishop, Leonid Kirkovsky, Arnab Mukherjee, James T. Dalton, Duane D. Miller

Institutions: Tulane University, University of Tennessee Health Science Center, Xavier University of Louisiana

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G1807622283, NONSTEROIDAL AFFINITY LIGANDS FOR THE ANDROGEN RECEPTOR, G4748356424, Pharmacology of nonsteroidal androgen receptor ligands

OpenAlex ID: W1986385116

FWCI: 11.27

Cites: 49

Cited by: 92

Related to: 10