Current Computer-Aided Drug Design

Subhash C. Basak
Departments of Chemistry, Biochemistry & Molecular Biology University of Minnesota Duluth
Duluth, MN 55811
USA

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The Recent Trend in QSAR Modeling - Variable Selection and 3D-QSAR Methods

Author(s): Masamoto Arakawa, Kiyoshi Hasegawa, Kimito Funatsu.

Abstract:

Quantitative structure-activity relationships (QSAR) are one of the most important methodologies for rational drug design. In QSAR, compounds are represented by chemical structure descriptors, and then statistical models are built to predict biological activities of candidate structures. In this paper, two principal topics in QSAR, variable selection and 3D-QSAR, are picked up and are reviewed in recent trend. The aim of variable selection is to construct a significant QSAR model by selecting important descriptors among from descriptor pool. Until now, many variable selection methods have been developed and proposed. On the other hand, molecular alignment is important factor of 3D-QSAR analysis because appropriate alignment is usually required to construct proper 3D-QSAR models. In addition, we review new QSAR methods using molecular surface properties, alignment independent QSAR methods, and 4D-QSAR methods.

Keywords: QSAR, variable selection, 3D-QSAR, molecular alignment, genetic algorithm, genetic programming

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Article Details

VOLUME: 3
ISSUE: 4
Year: 2007
Page: [254 - 262]
Pages: 9
DOI: 10.2174/157340907782799417
Price: $58