AI and SAR approaches for predicting chemical carcinogenicity: Survey and status report-Reference-Cited by-同舟云学术

AI and SAR approaches for predicting chemical carcinogenicity: Survey and status report

Published:2002-01-01 Issue:1 Volume:13 Page:1-19
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Richard A.M.¹,Benigni R.²

Affiliation:

1. a Environmental Carcinogenesis Division, National Health and Environmental Effects Research Laboratories , U.S. Environmental Protection Agency , Mail Drop 68, Research Triangle Park, NC, 27711, USA

2. b Istituto Superiore di Sanita' Laboratory of Comparative Toxicology and Ecotoxicology , Rome, Italy

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10629360290002055

Reference55 articles.

1. Multi-Agent Systems: A Survey from the Robot-Soccer Perspective

2. Bankruptcy support system: taking advantage of information retrieval and case-based reasoning

3. The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes

4. A Two-Phase Genetic Algorithm for Large-Scale Bidline-Generation Problems at Delta Air Lines

5. Automatic Generation of Knowledge Base from Infrared Spectral Database for Substructure Recognition

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