Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm-Reference-Cited by-同舟云学术

Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm

Published:2016-06-20 Issue:7 Volume:27 Page:501-519
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Drgan V.¹,Župerl Š.¹,Vračko M.¹,Como F.²,Novič M.¹

Affiliation:

1. National Institute of Chemistry, Ljubljana, Slovenia

2. Istituto di Ricerche Farmacologiche ‘Mario Negri’, Milan, Italy

Funder

Directorate-General for the Environment

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2016.1196388

Reference33 articles.

1. Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas)

2. Classification Models for Safe Drug Molecules

3. Theoretical Descriptors for the Correlation of Aquatic Toxicity of Environmental Pollutants by Quantitative Structure-Toxicity Relationships

4. Statistically Validated QSARs, Based on Theoretical Descriptors, for Modeling Aquatic Toxicity of Organic Chemicals in Pimephales promelas (Fathead Minnow)

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