Comparison of a Neural Net-Based QSAR Algorithm (PCANN) with Hologram- and Multiple Linear Regression-Based QSAR Approaches: Application to 1,4-Dihydropyridine-Based Calcium Channel Antagonists-Reference-Cited by-同舟云学术

Comparison of a Neural Net-Based QSAR Algorithm (PCANN) with Hologram- and Multiple Linear Regression-Based QSAR Approaches: Application to 1,4-Dihydropyridine-Based Calcium Channel Antagonists

Published:2001-04-19 Issue:3 Volume:41 Page:505-511
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Viswanadhan Vellarkad N.¹,Mueller Geoffrey A.¹,Basak Subhash C.¹,Weinstein John N.¹

Affiliation:

1. Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, and Center for Water and Environment, Natural Resources Research Institute, University of Minnesota, 5013 Miller Trunk Highway, Duluth, Minnesota 55811

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/ci000072%2B

Reference57 articles.

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3. Use of the Kohonen Self-organizing Map to Study the Mechanisms of Action of Chemotherapeutic Agents

4. Discrimination techniques applied to the NCIin vitro anti-tumour drug screen: Predicting biochemical mechanism of action

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