Desirability-based multiobjective optimization for global QSAR studies : application to the design of novel NSAIDs with improved analgesic, antiinflammatory, and ulcerogenic profiles

2008 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 29(2008), 14 vom: 15. Nov., Seite 2445-59
1. Verfasser: Cruz-Monteagudo, Maykel (VerfasserIn)
Weitere Verfasser: Borges, Fernanda, Cordeiro, M Natália D S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Analgesics Anti-Inflammatory Agents Anti-Inflammatory Agents, Non-Steroidal Quinazolinones
Beschreibung
Zusammenfassung:2008 Wiley Periodicals, Inc.
Up to now, very few reports have been published concerning the application of multiobjective optimization (MOOP) techniques to quantitative structure-activity relationship (QSAR) studies. However, none reports the optimization of objectives related directly to the desired pharmaceutical profile of the drug. In this work, for the first time, it is proposed a MOOP method based on Derringer's desirability function that allows conducting global QSAR studies considering simultaneously the pharmacological, pharmacokinetic and toxicological profile of a set of molecule candidates. The usefulness of the method is demonstrated by applying it to the simultaneous optimization of the analgesic, antiinflammatory, and ulcerogenic properties of a library of fifteen 3-(3-methylphenyl)-2-substituted amino-3H-quinazolin-4-one compounds. The levels of the predictor variables producing concurrently the best possible compromise between these properties is found and used to design a set of new optimized drug candidates. Our results also suggest the relevant role of the bulkiness of alkyl substituents on the C-2 position of the quinazoline ring over the ulcerogenic properties for this family of compounds. Finally, and most importantly, the desirability-based MOOP method proposed is a valuable tool and shall aid in the future rational design of novel successful drugs
Beschreibung:Date Completed 03.12.2008
Date Revised 07.10.2008
published: Print
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.20994