Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public Data-Reference-Cited by-同舟云学术

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Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public Data

Published:2016-03-08 Issue: Volume:4 Page:
ISSN:2296-665X
Container-title:Frontiers in Environmental Science
language:
Short-container-title:Front. Environ. Sci.

Author:

Ribay Kathryn,Kim Marlene T.,Wang Wenyi,Pinolini Daniel,Zhu Hao

Funder

National Institute of Environmental Health Sciences

Colgate-Palmolive Company

Publisher

Frontiers Media SA

Subject

General Environmental Science

Reference47 articles.

1. The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands;Blair;Toxicol. Sci.,2000

2. Random forests;Breiman;Mach. Learn.,2001

3. Activity cliffs in drug discovery: Dr Jekyll or Mr Hyde?;Cruz-Monteagudo;Drug Discov. Today,2014

4. Introductory Statistics with R

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