Literature DB >> 14768903

Comparative molecular surface analysis: a novel tool for drug design and molecular diversity studies.

Jaroslaw Polanski1, Rafal Gieleciak.   

Abstract

The application of the SOM network in drug design and molecular diversity is discussed. In particular, examples of the applications of the Comparative Molecular Surface Analysis (CoMSA) are reviewed. Molecular surface is a fuzzy category, inspired by the macroscopic world, which has no unique equivalent in the molecular scale. However, it is somewhere near the area where the molecular recognition processes are taking place. Consequently, the methods that analyze this region promise better efficiency than procedures that are based on uniform grids. An important advantage of the CoMSA method is the possibility for the generation of fuzzy molecular representations together with its ability to discover such aspects of molecular similarity that can be easily overlooked by a chemist. The ability for data compression is a further advantage. It has also been shown that the fast processing of the comparative Kohonen mapping enables one to implement this method in the field of molecular diversity.

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Year:  2003        PMID: 14768903     DOI: 10.1023/b:modi.0000006536.02970.f0

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  38 in total

Review 1.  Self-organizing neural networks for screening and development of novel artificial sweetener candidates.

Authors:  J Polanski; K Jarzembek; J Gasteiger
Journal:  Comb Chem High Throughput Screen       Date:  2000-12       Impact factor: 1.339

Review 2.  What is bioinformatics? A proposed definition and overview of the field.

Authors:  N M Luscombe; D Greenbaum; M Gerstein
Journal:  Methods Inf Med       Date:  2001       Impact factor: 2.176

3.  Database mining applied to central nervous system (CNS) activity.

Authors:  M Pintore; O Taboureau; F Ros; J R Chrétien
Journal:  Eur J Med Chem       Date:  2001-04       Impact factor: 6.514

4.  The comparative molecular surface analysis (COMSA)--a nongrid 3D QSAR method by a coupled neural network and PLS system: predicting pK(a) values of benzoic and alkanoic acids.

Authors:  Jarosław Polański; Rafał Gieleciak; Andrzej Bak
Journal:  J Chem Inf Comput Sci       Date:  2002 Mar-Apr

Review 5.  Gene expression data analysis.

Authors:  A Brazma; J Vilo
Journal:  FEBS Lett       Date:  2000-08-25       Impact factor: 4.124

6.  A comparative molecular surface analysis (COMSA). A new efficient technique for drug design.

Authors:  Jarosław Polański; Rafał Gieleciak; Andrzej Bak; Krystyna Jarzembek; Mirosław Wyszomirski
Journal:  Acta Pol Pharm       Date:  2002 Nov-Dec       Impact factor: 0.330

7.  New molecular surface-based 3D-QSAR method using Kohonen neural network and 3-way PLS.

Authors:  Kiyoshi Hasegawa; Shigeo Matsuoka; Masamoto Arakawa; Kimito Funatsu
Journal:  Comput Chem       Date:  2002-11

8.  Looking for an unambiguous geometrical definition of organic series from 3-d molecular similarity indices.

Authors:  Marina Cotta-Ramusino; Romualdo Benigni; Laura Passerini; Alessandro Giuliani
Journal:  J Chem Inf Comput Sci       Date:  2003 Jan-Feb

9.  Self-organizing maps and molecular similarity.

Authors:  T W Barlow
Journal:  J Mol Graph       Date:  1995-02

10.  Use of the Kohonen neural network for rapid screening of ex vivo anti-HIV activity of styrylquinolines.

Authors:  Jaroslaw Polanski; Fatima Zouhiri; Laurence Jeanson; Didier Desmaële; Jean d'Angelo; Jean-François Mouscadet; Rafal Gieleciak; Johann Gasteiger; Marc Le Bret
Journal:  J Med Chem       Date:  2002-10-10       Impact factor: 7.446

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  2 in total

1.  Self-organizing neural networks for modeling robust 3D and 4D QSAR: application to dihydrofolate reductase inhibitors.

Authors:  Jaroslaw Polanski; Andrzej Bak; Rafal Gieleciak; Tomasz Magdziarz
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

2.  Receptor independent and receptor dependent CoMSA modeling with IVE-PLS: application to CBG benchmark steroids and reductase activators.

Authors:  Tomasz Magdziarz; Pawel Mazur; Jaroslaw Polanski
Journal:  J Mol Model       Date:  2008-10-21       Impact factor: 1.810

  2 in total

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