Literature DB >> 9275094

QSAR models for binding of estrogenic compounds to estrogen receptor alpha and beta subtypes.

W Tong1, R Perkins, L Xing, W J Welsh, D M Sheehan.   

Abstract

We have developed Quantitative Structure-Activity Relationship (QSAR) models based on Comparative Molecular Field Analysis (CoMFA) for 31 estrogenic chemicals whose relative binding affinity (RBA) is available for both ER-alpha and ER-beta. The models demonstrated a significant correlation (r2>0.95) between the CoMFA-calculated steric/electrostatic fields and corresponding RBA data and a good predictive capability (q2>0.6) based on cross-validation. The CoMFA models and contour plots obtained for ER-alpha and ER-beta suggest a close similarity between the receptors in terms of mode of binding and provide a rational basis for ligand selectivity.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9275094     DOI: 10.1210/endo.138.9.5487

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


  20 in total

1.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

2.  CoMFA and docking study of novel estrogen receptor subtype selective ligands.

Authors:  Peter Wolohan; David E Reichert
Journal:  J Comput Aided Mol Des       Date:  2003 May-Jun       Impact factor: 3.686

3.  Free energies of ligand binding for structurally diverse compounds.

Authors:  Chris Oostenbrink; Wilfred F van Gunsteren
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

Review 4.  Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling.

Authors:  Linlin Zhao; Heather L Ciallella; Lauren M Aleksunes; Hao Zhu
Journal:  Drug Discov Today       Date:  2020-07-11       Impact factor: 7.851

5.  In utero exposure to low doses of bisphenol A lead to long-term deleterious effects in the vagina.

Authors:  G Schönfelder; B Flick; E Mayr; C Talsness; M Paul; I Chahoud
Journal:  Neoplasia       Date:  2002 Mar-Apr       Impact factor: 5.715

Review 6.  Understanding nuclear receptors using computational methods.

Authors:  Ni Ai; Matthew D Krasowski; William J Welsh; Sean Ekins
Journal:  Drug Discov Today       Date:  2009-03-11       Impact factor: 7.851

7.  Ab initio fragment molecular orbital study of ligand binding to human progesterone receptor ligand-binding domain.

Authors:  Takanori Harada; Kenji Yamagishi; Tatsuya Nakano; Kazuo Kitaura; Hiroaki Tokiwa
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2008-03-11       Impact factor: 3.000

8.  Identification of xenoestrogens in food additives by an integrated in silico and in vitro approach.

Authors:  Alessio Amadasi; Andrea Mozzarelli; Clara Meda; Adriana Maggi; Pietro Cozzini
Journal:  Chem Res Toxicol       Date:  2009-01       Impact factor: 3.739

9.  Developmental effects of prenatal exposure to bisphenol a on the uterus of rat offspring.

Authors:  Gilbert Schönfelder; Karin Friedrich; Martin Paul; Ibrahim Chahoud
Journal:  Neoplasia       Date:  2004 Sep-Oct       Impact factor: 5.715

10.  Estrogen receptor (ER) beta regulates ERalpha expression in stromal cells derived from ovarian endometriosis.

Authors:  Elena Trukhacheva; Zhihong Lin; Scott Reierstad; You-Hong Cheng; Magdy Milad; Serdar E Bulun
Journal:  J Clin Endocrinol Metab       Date:  2008-11-11       Impact factor: 5.958

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.