A new strategy for using supervised artificial neural networks in QSAR-Reference-Cited by-同舟云学术

A new strategy for using supervised artificial neural networks in QSAR

Published:2005-10-01 Issue:5 Volume:16 Page:433-442
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Devillers J.¹

Affiliation:

1. a CTIS , 3 Chemin de la Gravière, 69140 Rillieux La Pape, France

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10659360500320578

Reference72 articles.

1. Anonymous . 1998. QSARs in the Assessment of the Environmental Fate and Effects of Chemicals, 136Brussels, Belgium: ECETOC. Technical report no. 74

2. Geladi , P and Tosato , ML . 1990. Practical Applications of Quantitative Structure-Activity Relationships (QSAR) in Environmental Chemistry and Toxicology, Edited by: Karcher , W and Devillers , J . 171Dordrecht, The Netherlands: Kluwer Academic Publishers.

3. Modelling of the Biological Activity for a Set of Ceramic Fibre Materials: A QSAR Study

4. Partial Least Squares Modeling and Genetic Algorithm Optimization in Quantitative Structure-Activity Relationships

5. QSAR modeling of the adult and developmental toxicity of glycols, glycol ethers and xylenes to hydra attenuata

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