In silico prediction of the developmental toxicity of diverse organic chemicals in rodents for regulatory purposes-Reference-Cited by-同舟云学术

In silico prediction of the developmental toxicity of diverse organic chemicals in rodents for regulatory purposes

Published:2016 Issue:3 Volume:5 Page:773-787
ISSN:2045-452X
Container-title:Toxicology Research
language:en
Short-container-title:Toxicol. Res.

Author:

Basant Nikita¹²³,Gupta Shikha⁴⁵⁶³,Singh Kunwar P.⁴⁵⁶³

Affiliation:

1. ETRC

2. Lucknow-226010

3. India

4. Environmental Chemistry Division

5. CSIR-Indian Institute of Toxicology Research

6. Lucknow-226 001

Abstract

The figure shows performance of the local and global QSAR and ISC-QSAAR models in predicting the developmental toxicity potential of chemicals in rodents.

Publisher

Oxford University Press (OUP)

Subject

Health, Toxicology and Mutagenesis,Toxicology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/TX/C5TX00493D

Reference60 articles.

1. Profiling the activity of environmental chemicals in prenatal developmental toxicity studies using the U.S. EPA's ToxRefDB

2. US Environmental Protection Agency, Laws & Regulations, http://www2.epa.gov/laws-regulations

3. National Toxicology Programme, Prenatal Developmental Toxicity Study, available at: https://ntp.niehs.nih.gov/testing/types/dev/

4. U.S. Environmental Protection Agency , Health effects test guidelines OPPTS 870.3700 prenatal developmental toxicity study, Office of Prevention, Pesticides and Toxic Substances, Washington, DC, EPA Publication 712-C-98–207, 1998

5. Profiling Chemicals Based on Chronic Toxicity Results from the U.S. EPA ToxRef Database

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chronic aquatic toxicity assessment of diverse chemicals on Daphnia magna using QSAR and chemical read-across;Regulatory Toxicology and Pharmacology;2024-03

2. 2D‐Quantitative structure–activity relationship modeling for risk assessment of pharmacotherapy applied during pregnancy;Journal of Applied Toxicology;2023-05-02

3. Centralized data sources and QSAR methods for the prediction of idiosyncratic adverse drug reaction;QSAR in Safety Evaluation and Risk Assessment;2023

4. Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data;Environmental Science & Technology;2022-04-22

5. Structure-Activity Relationship (SAR) Model for Predicting Teratogenic Risk of Antiseizure Medications in Pregnancy by Using Support Vector Machine;Frontiers in Pharmacology;2022-02-25