Drug Discovery and Design for Complex Diseases through QSAR Computational Methods

Cristian R. Munteanu, Enrique Fernandez-Blanco, Jose A. Seoane, Pilar Izquierdo-Novo, Jose Angel Rodriguez-Fernandez, Jose Maria Prieto-Gonzalez, Juan R. Rabunal, Alejandro Pazos

Research output: Contribution to journalReview article (Academic Journal)peer-review

68 Citations (Scopus)

Abstract

There is a need for the study of complex diseases due to their important impact on our society. One of the solutions involves the theoretical methods which are fast and efficient tools that can lead to the discovery of new active drugs specially designed for these diseases. The Quantitative Structure - Activity Relationship models (QSAR) and the complex network theory become important solutions for screening and designing efficient pharmaceuticals by coding the chemical information of the molecules into molecular descriptors. This review presents the most recent studies on drug discovery and design using QSAR of several complex diseases in the fields of Neurology, Cardiology and Oncology.

Original languageEnglish
Pages (from-to)2640-2655
Number of pages16
JournalCurrent Pharmaceutical Design
Volume16
Issue number24
Publication statusPublished - 2010

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