Literature DB >> 22823969

Discovery of estrogen receptor modulators: a review of virtual screening and SAR efforts.

Xue Xu1, Wei Yang, Yan Li, Yonghua Wang.   

Abstract

IMPORTANCE OF THE FIELD: Virtual screening (VS) coupled with structural biology is a significantly important approach to increase the number and enhance the success of projects in lead identification stage of drug discovery process. Recent advances and future directions in estrogen therapy have resulted in great demand for identifying the potential estrogen receptor (ER) modulators with more activity and selectivity. AREAS COVERED IN THIS REVIEW: This review presents the current state of the art in VS and structure-activity relationship of ER modulators in recent discovery, and discusses the strengths and weaknesses of the technology. WHAT THE READER WILL GAIN: Readers will gain an overview of the current platforms of in silico screening for discovery of ER modulators; they will learn which structural information is significantly correlated with the bioactivity of ER modulators and what novel strategies should be considered for the creation of more effective chemical structures. TAKE HOME MESSAGE: With the goal of reducing toxicity and/or improving efficacy, challenges to the successful modeling of endocrine agents are proposed, providing new paradigms for the design of ER inhibitors.

Entities:  

Year:  2010        PMID: 22823969     DOI: 10.1517/17460440903490395

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  5 in total

1.  Probing the structural requirements of A-type Aurora kinase inhibitors using 3D-QSAR and molecular docking analysis.

Authors:  Hui-Xiao Zhang; Yan Li; Xia Wang; Yong-Hua Wang
Journal:  J Mol Model       Date:  2011-04-28       Impact factor: 1.810

2.  3D-QSAR and molecular docking studies on derivatives of MK-0457, GSK1070916 and SNS-314 as inhibitors against Aurora B kinase.

Authors:  Baidong Zhang; Yan Li; Huixiao Zhang; Chunzhi Ai
Journal:  Int J Mol Sci       Date:  2010-11-02       Impact factor: 5.923

3.  In silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines.

Authors:  Zhizhong Wang; Yan Li; Chunzhi Ai; Yonghua Wang
Journal:  Int J Mol Sci       Date:  2010-09-20       Impact factor: 5.923

Review 4.  Versatility or promiscuity: the estrogen receptors, control of ligand selectivity and an update on subtype selective ligands.

Authors:  Hui Wen Ng; Roger Perkins; Weida Tong; Huixiao Hong
Journal:  Int J Environ Res Public Health       Date:  2014-08-26       Impact factor: 3.390

5.  The Effect of 42-Day Exposure to a Low Deoxynivalenol Dose on the Immunohistochemical Expression of Intestinal ERs and the Activation of CYP1A1 and GSTP1 Genes in the Large Intestine of Pre-pubertal Gilts.

Authors:  Magdalena Gajęcka; Paweł Brzuzan; Iwona Otrocka-Domagała; Łukasz Zielonka; Sylwia Lisieska-Żołnierczyk; Maciej T Gajęcki
Journal:  Front Vet Sci       Date:  2021-07-19
  5 in total

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