Literature DB >> 12116387

Pattern recognition strategies for molecular surfaces. I. Pattern generation using fuzzy set theory.

Thomas E Exner1, Matthias Keil, Jürgen Brickmann.   

Abstract

A new method for the characterization of molecules based on the model approach of molecular surfaces is presented. We use the topographical properties of the surface as well as the electrostatic potential, the local lipophilicity/hydrophilicity, and the hydrogen bond density on the surface for characterization. The definition and the calculation method for these properties are reviewed shortly. The surface is segmented into overlapping patches with similar molecular properties. These patches can be used to represent the characteristic local features of the molecule in a way that is beyond the atomistic resolution but can nevertheless be applied for the analysis of partial similarities of different molecules as well as for the identification of molecular complementarity in a very general sense. The patch representation can be used for different applications, which will be demonstrated in subsequent articles. Copyright 2002 Wiley Periodicals, Inc. J Comput Chem 12: 1176-1187, 2002

Entities:  

Year:  2002        PMID: 12116387     DOI: 10.1002/jcc.10086

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  6 in total

1.  Identification of protein biochemical functions by similarity search using the molecular surface database eF-site.

Authors:  Kengo Kinoshita; Haruki Nakamura
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

2.  Organization of rhodopsin molecules in native membranes of rod cells--an old theoretical model compared to new experimental data.

Authors:  Slawomir Filipek
Journal:  J Mol Model       Date:  2005-06-01       Impact factor: 1.810

3.  Pattern recognition based on color-coded quantum mechanical surfaces for molecular alignment.

Authors:  Brian D Hudson; David C Whitley; Martyn G Ford; Martin Swain; Jonathan W Essex
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

4.  MS3ALIGN: an efficient molecular surface aligner using the topology of surface curvature.

Authors:  Nithin Shivashankar; Sonali Patil; Amrisha Bhosle; Nagasuma Chandra; Vijay Natarajan
Journal:  BMC Bioinformatics       Date:  2016-01-12       Impact factor: 3.169

5.  sensaas: Shape-based Alignment by Registration of Colored Point-based Surfaces.

Authors:  Dominique Douguet; Frédéric Payan
Journal:  Mol Inform       Date:  2020-06-23       Impact factor: 3.353

6.  A simple method for finding a protein's ligand-binding pockets.

Authors:  Seyed Majid Saberi Fathi; Jack A Tuszynski
Journal:  BMC Struct Biol       Date:  2014-07-19
  6 in total

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