Multi-Objective Genetic Algorithm (MOGA) As a Feature Selecting Strategy in the Development of Ionic Liquids’ Quantitative Toxicity–Toxicity Relationship Models-Reference-Cited by-同舟云学术

Multi-Objective Genetic Algorithm (MOGA) As a Feature Selecting Strategy in the Development of Ionic Liquids’ Quantitative Toxicity–Toxicity Relationship Models

Published:2018-12-03 Issue:12 Volume:58 Page:2467-2476
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Barycki Maciej¹,Sosnowska Anita¹,Jagiello Karolina¹,Puzyn Tomasz¹^ORCID

Affiliation:

1. Faculty of Chemistry, Department of Environmental Chemistry and Radiochemistry, Laboratory of Environmental Chemometrics, University of Gdansk, ul. Wita Stwosza 63, 80-308 Gdansk, Poland

Funder

Narodowe Centrum Nauki

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.8b00378

Reference48 articles.

1. Regulation (EC) No 1907/2006 of the European Parliament and of the Council of 18 December 2006 concerning the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH), establishing a European Chemicals Agency, and amending Directive 1999/45/EC and repealing Council Regulation (EEC) No 793/93 and Commission Regulation (EC) No 1488/94 as well as Council Directive 76/769/EEC and Commission Directives 91/155/EEC, 93/67/EEC, 93/105/EC and 2000/21/EC. Off. J. Eur. Union, L 396/1, 2006.

2. Applications of Chemoinformatics in Predictive Toxicology for Regulatory Purposes, Especially in the Context of the EU REACH Legislation

3. Putting the Predictive Toxicology Challenge into perspective: reflections on the results

4. The European Union’s REACH regulation: a review of its history and requirements

5. Computational toxicology—a tool for early safety evaluation

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