Quantitative Structure−Activity Relationship Modeling of Dopamine D1 Antagonists Using Comparative Molecular Field Analysis, Genetic Algorithms−Partial Least-Squares, and K Nearest Neighbor Methods-Reference-Cited by-同舟云学术

Quantitative Structure−Activity Relationship Modeling of Dopamine D1 Antagonists Using Comparative Molecular Field Analysis, Genetic Algorithms−Partial Least-Squares, and K Nearest Neighbor Methods

Published:1999-08-01 Issue:17 Volume:42 Page:3217-3226
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Hoffman Brian¹,Cho Sung Jin¹,Zheng Weifan¹,Wyrick Steven¹,Nichols David E.¹,Mailman Richard B.¹,Tropsha Alexander¹

Affiliation:

1. Division of Medicinal Chemistry and Natural Products, School of Pharmacy, and Departments of Psychiatry and Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599, and Department of Medicinal Chemistry and Molecular Pharmacology, School of Pharmacy, Purdue University, West Lafayette, Indiana 47907

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jm980415j

Reference58 articles.

1. Tropsha, A.; Cho, S. J.; Zheng, W. “New Tricks for an Old Dog”: Development and Application of Novel QSAR Methods for Rational Design of Combinatorial Chemical Libraries and Database Mining.Rational DrugDesign: Novel Methodology and Practical Applications; ACS Symp. Series 719; American Chemical Society: Washington, DC, 1999, in press.

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