Literature DB >> 7918257

The beauty of molecular surfaces as revealed by self-organizing neural networks.

J Gasteiger1, X Li, A Uschold.   

Abstract

The Kohonen neural network is a self-organizing network that can be used for the projection of the surface properties of molecules. This allows one to view properties on a molecular surface, like the electrostatic potential in a single picture. These maps are useful for the comparison of molecules and provide a new definition of molecular similarity.

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Year:  1994        PMID: 7918257     DOI: 10.1016/0263-7855(94)80073-1

Source DB:  PubMed          Journal:  J Mol Graph        ISSN: 0263-7855


  4 in total

1.  Steroid binding by antibodies and artificial receptors: exploration of theoretical methods to determine the origins of binding affinities and specificities.

Authors:  S Handschuh; B Goldfuss; J Chen; J Gasteiger; K N Houk
Journal:  J Comput Aided Mol Des       Date:  2000-10       Impact factor: 3.686

2.  SOMMER: self-organising maps for education and research.

Authors:  Michael Schmuker; Florian Schwarte; André Brück; Ewgenij Proschak; Yusuf Tanrikulu; Alireza Givehchi; Kai Scheiffele; Gisbert Schneider
Journal:  J Mol Model       Date:  2006-09-22       Impact factor: 1.810

3.  Artificial neural network prediction of aerosol deposition in human lungs.

Authors:  Javed Nazir; David J Barlow; M Jayne Lawrence; Christopher J Richardson; Ian Shrubb
Journal:  Pharm Res       Date:  2002-08       Impact factor: 4.200

4.  The comparison of geometric and electronic properties of molecular surfaces by neural networks: application to the analysis of corticosteroid-binding globulin activity of steroids.

Authors:  S Anzali; G Barnickel; M Krug; J Sadowski; M Wagener; J Gasteiger; J Polanski
Journal:  J Comput Aided Mol Des       Date:  1996-12       Impact factor: 3.686

  4 in total

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