Desirability-Based Methods of Multiobjective Optimization and Ranking for Global QSAR Studies. Filtering Safe and Potent Drug Candidates from Combinatorial Libraries-Reference-Cited by-同舟云学术

Desirability-Based Methods of Multiobjective Optimization and Ranking for Global QSAR Studies. Filtering Safe and Potent Drug Candidates from Combinatorial Libraries

Published:2008-10-15 Issue:6 Volume:10 Page:897-913
ISSN:1520-4766
Container-title:Journal of Combinatorial Chemistry
language:en
Short-container-title:J. Comb. Chem.

Author:

Cruz-Monteagudo Maykel¹,Borges Fernanda¹,Cordeiro M. Natália D. S.¹,Cagide Fajin J. Luis¹,Morell Carlos¹,Ruiz Reinaldo Molina¹,Cañizares-Carmenate Yudith¹,Dominguez Elena Rosa¹

Affiliation:

1. Physico-Chemical Molecular Research Unit, Department of Organic Chemistry, Faculty of Pharmacy, REQUIMTE, Department of Chemistry, and CIQ-UP, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal, and Applied Chemistry Research Center (CEQA), Faculty of Chemistry and Pharmacy, Chemical Bioactive Center (CBQ), and Center of Informatics Studies (CEI), Central University of “Las Villas”, Santa Clara, 54830, Cuba

Publisher

American Chemical Society (ACS)

Subject

General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/cc800115y

Reference69 articles.

1. The Many Roles of Computation in Drug Discovery

2. Structure of medicinal chemistry

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