Literature DB >> 12927097

Simultaneous determination of bioactive conformations and alignment rules by multi-way PLS modeling.

Kiyoshi Hasegawa1, Masamoto Arakawa, Kimito Funatsu.   

Abstract

In this study, we propose a new three-dimensional quantitative structure-activity relationship (3D-QSAR) method for selecting bioactive conformations and alignment rule simultaneously. The possible conformations of all molecules are generated by conformational analysis and they are superimposed on template conformer with possible alignment rules. The field variables are calculated as 3D descriptor of structures. Four-way partial least-squares (PLS) analysis is applied, and the conformations and alignment rule largely contributing to biological activity are selected. In order to demonstrate this method, the data set of benzodiazepine derivatives, antagonists of (CCK-B), was used as a test sample. As a result, appropriate conformers and alignment rule were selected and significant PLS model was obtained. The resulting final model could give the reasonable 3D coefficient contour maps. Moreover, external prediction was carried out by use of external data sample and its prediction was proved to be high enough.

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Year:  2003        PMID: 12927097     DOI: 10.1016/s0097-8485(02)00055-4

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  2 in total

1.  Novel semi-automated methodology for developing highly predictive QSAR models: application for development of QSAR models for insect repellent amides.

Authors:  Jayendra B Bhonsle; Apurba K Bhattacharjee; Raj K Gupta
Journal:  J Mol Model       Date:  2006-09-20       Impact factor: 1.810

2.  A computational study on cannabinoid receptors and potent bioactive cannabinoid ligands: homology modeling, docking, de novo drug design and molecular dynamics analysis.

Authors:  Serdar Durdagi; Manthos G Papadopoulos; Panagiotis G Zoumpoulakis; Catherine Koukoulitsa; Thomas Mavromoustakos
Journal:  Mol Divers       Date:  2009-06-18       Impact factor: 2.943

  2 in total

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