Cited by 33Computational Drug Discovery MethodsEnvironmental Toxicology and EcotoxicologyAnimal testing and alternatives

In silico prediction of chronic toxicity with chemical category approaches

Open access
Li, Xiao, Zhang, Yuan, Chen, Hongna, Li, Huanhuan, Zhao, Yong·2017·RSC Advances

Abstract

Chemical chronic toxicity, referring to the toxic effect of a chemical following long-term or repeated sub lethal exposures, is an important toxicological end point in drug design and environmental risk assessment.

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Cited by

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Authors
Li, X., Zhang, Y., Chen, H., Li, H., & Zhao, Y.
Affiliations
  • Beijing Computing Center (CN)
  • Beijing Beike Deyuan Bio-Pharm Technology Co.Ltd.
  • Hangzhou Tigermed Consulting Co., Ltd. (China) (CN)
Corresponding author
  • Li, Xiao
  • Zhao, Yong
Venue
RSC Advances
Published
2017
Volume
7
Issue
66
Pages
41330-41338
ISSN
2046-2069 (ISSN-L)
OpenAlex
W2749210830
Cited by
33
References
35
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 6 · 2021: 5 · 2019: 1 · 2018: 2 · 2017: 1
FWCI
0.82
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
RSC Advances (publishedVersion, cc-by-nc)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
  • Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
Keywords
chronic toxicity, in silico prediction, environmental risk assessment, drug design, chemical toxicity

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