Computational Models for Predicting the Binding Affinities of Ligands for the Wild-Type Androgen Receptor and a Mutated Variant Associated with Human Prostate Cancer-Reference-Cited by-同舟云学术

Computational Models for Predicting the Binding Affinities of Ligands for the Wild-Type Androgen Receptor and a Mutated Variant Associated with Human Prostate Cancer

Published:2003-11-20 Issue:12 Volume:16 Page:1652-1660
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Ai Ni¹,DeLisle Robert K.¹,Yu Seong Jae¹,Welsh William J.¹

Affiliation:

1. Department of Pharmacology, University of Medicine & Dentistry of New Jersey, Robert Wood Johnson Medical School, 675 Hoes Lane, Piscataway, New Jersey 08854, and Pharmacopeia, Inc., Box 5350, Princeton, New Jersey 08543

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/tx034168k

Reference47 articles.

1. Nuclear receptors: Structure, function and involvement in disease

2. The androgen receptor (AR) in syndromes of androgen insensitivity and in prostate cancer

3. Broadened ligand responsiveness of androgen receptor mutants obtained by random amino acid substitution of H874 and mutation hot spot T877 in prostate cancer

4. Mutation of the Androgen-Receptor Gene in Metastatic Androgen-Independent Prostate Cancer

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