A joint optimization QSAR model of fathead minnow acute toxicity based on a radial basis function neural network and its consensus modeling-Reference-Cited by-同舟云学术

A joint optimization QSAR model of fathead minnow acute toxicity based on a radial basis function neural network and its consensus modeling

Published:2020 Issue:36 Volume:10 Page:21292-21308
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Wang Yukun¹²³⁴⁵^ORCID,Chen Xuebo⁵²³⁴

Affiliation:

1. School of Chemical Engineering

2. University of Science and Technology Liaoning

3. Anshan 114051

4. China

5. School of Electronic and Information Engineering

Abstract

Acute toxicity of the fathead minnow (Pimephales promelas) is an important indicator to evaluate the hazards and risks of compounds in aquatic environments.

Funder

National Natural Science Foundation of China

University of Science and Technology Liaoning

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RA/D0RA02701D

Reference54 articles.

1. Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity

2. Modeling Aquatic Toxicity through Chromatographic Systems

3. Review of (Quantitative) Structure–Activity Relationships for Acute Aquatic Toxicity

4. QSAR study of the acute toxicity to fathead minnow based on a large dataset

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