Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network-Reference-Cited by-同舟云学术

Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network

Published:1999-10-07 Issue:6 Volume:39 Page:1076-1080
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Gini Giuseppina,Lorenzini Marco,Benfenati Emilio,Grasso Paola,Bruschi Maurizio

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci9903096

Reference18 articles.

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2. Computational predictive programs (expert systems) in toxicology

3. Gini, G. C.; Katritzky, A. R.Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools; AAAI Press: Menlo Park, CA, 1999; pp 1−155.

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