↓ Skip to main content

The Nuclear Receptor Superfamily

Overview of attention for book
Attention for Chapter 4: Drug-Discovery Pipeline for Novel Inhibitors of the Androgen Receptor
Altmetric Badge

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Drug-Discovery Pipeline for Novel Inhibitors of the Androgen Receptor
Chapter number 4
Book title
The Nuclear Receptor Superfamily
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3724-0_4
Pubmed ID
Book ISBNs
978-1-4939-3722-6, 978-1-4939-3724-0
Authors

Kush Dalal, Ravi Munuganti, Hélène Morin, Nada Lallous, Paul S. Rennie, Artem Cherkasov, Dalal, Kush, Munuganti, Ravi, Morin, Hélène, Lallous, Nada, Rennie, Paul S., Cherkasov, Artem

Abstract

The androgen receptor (AR) is an important regulator of genes responsible for the development and recurrence of prostate cancer. Current therapies for this disease rely on small-molecule inhibitors that block the transcriptional activity of the AR. Recently, major advances in the development of novel AR inhibitors resulted from X-ray crystallographic information on the receptor and utilization of in silico drug design synergized with rigorous experimental testing.Herein, we describe a drug-discovery pipeline for in silico screening for small molecules that target an allosteric region on the AR termed the binding-function 3 (BF3) site. Following the identification of potential candidates, the compounds are tested in cell culture and biochemical assays for their ability to interact with and inhibit the AR. The described pipeline is readily accessible and could be applied in drug design efforts toward any surface-exposed region on the AR or other related steroid nuclear receptor.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Researcher 2 18%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Chemistry 2 18%
Agricultural and Biological Sciences 2 18%
Computer Science 1 9%
Unknown 4 36%