Experimental Errors in QSAR Modeling Sets: What We Can Do and What We Cannot Do-Reference-Cited by-同舟云学术

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Experimental Errors in QSAR Modeling Sets: What We Can Do and What We Cannot Do

Published:2017-06-19 Issue:6 Volume:2 Page:2805-2812
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Zhao Linlin¹^ORCID,Wang Wenyi¹,Sedykh Alexander²,Zhu Hao¹³

Affiliation:

1. The Rutgers Center for Computational and Integrative Biology, Camden, New Jersey 08102, United States

2. Sciome LLC, Durham, North Carolina 27709, United States

3. Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States

Funder

National Institute of Environmental Health Sciences

Johns Hopkins Bloomberg School of Public Health

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.7b00274

Reference35 articles.

1. QSAR in the Pharmaceutical Research Setting: QSAR Models for Broad, Large Problems

2. Big Data in Chemical Toxicity Research: The Use of High-Throughput Screening Assays To Identify Potential Toxicants

3. A quality alert and call for improved curation of public chemistry databases

4. Believe it or not: how much can we rely on published data on potential drug targets?

5. Repeatability of published microarray gene expression analyses

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