Literature DB >> 8820301

Detection and geometric modeling of molecular surfaces and cavities using digital mathematical morphological operations.

M Masuya1, J Doi.   

Abstract

We developed a digital method based on mathematical morphological operations to obtain three types of surfaces: van der Waals surface, solvent-accessible surface, and molecular surface, to extract the cavities on the surface and interior part of the molecule and to extract the ligand portions in contact with the cavities. The molecular surface, the cavities and the portions, and the heme region are visualized using solid modeling. The method enables us to obtain the volumes of the cavities and inhibitor portions and the areas of the surfaces. Solid modeling enables us to obtain cross-sections at arbitrary positions. This will have considerable utility in docking studies.

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Year:  1995        PMID: 8820301     DOI: 10.1016/0263-7855(95)00071-2

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


  12 in total

1.  Fast prediction and visualization of protein binding pockets with PASS.

Authors:  G P Brady; P F Stouten
Journal:  J Comput Aided Mol Des       Date:  2000-05       Impact factor: 3.686

2.  McVol - a program for calculating protein volumes and identifying cavities by a Monte Carlo algorithm.

Authors:  Mirco S Till; G Matthias Ullmann
Journal:  J Mol Model       Date:  2009-07-22       Impact factor: 1.810

3.  Protein pocket detection via convex hull surface evolution and associated Reeb graph.

Authors:  Rundong Zhao; Zixuan Cang; Yiying Tong; Guo-Wei Wei
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

4.  Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey.

Authors:  Tiago Simões; Daniel Lopes; Sérgio Dias; Francisco Fernandes; João Pereira; Joaquim Jorge; Chandrajit Bajaj; Abel Gomes
Journal:  Comput Graph Forum       Date:  2017-06-01       Impact factor: 2.078

5.  On-the-fly Numerical Surface Integration for Finite-Difference Poisson-Boltzmann Methods.

Authors:  Qin Cai; Xiang Ye; Jun Wang; Ray Luo
Journal:  J Chem Theory Comput       Date:  2011-11-01       Impact factor: 6.006

6.  ASPDock: protein-protein docking algorithm using atomic solvation parameters model.

Authors:  Lin Li; Dachuan Guo; Yangyu Huang; Shiyong Liu; Yi Xiao
Journal:  BMC Bioinformatics       Date:  2011-01-27       Impact factor: 3.169

7.  DEPTH: a web server to compute depth and predict small-molecule binding cavities in proteins.

Authors:  Kuan Pern Tan; Raghavan Varadarajan; M S Madhusudhan
Journal:  Nucleic Acids Res       Date:  2011-05-16       Impact factor: 16.971

Review 8.  On the energy components governing molecular recognition in the framework of continuum approaches.

Authors:  Lin Li; Lin Wang; Emil Alexov
Journal:  Front Mol Biosci       Date:  2015-03-06

9.  Fpocket: an open source platform for ligand pocket detection.

Authors:  Vincent Le Guilloux; Peter Schmidtke; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-06-02       Impact factor: 3.169

10.  KVFinder: steered identification of protein cavities as a PyMOL plugin.

Authors:  Saulo H P Oliveira; Felipe A N Ferraz; Rodrigo V Honorato; José Xavier-Neto; Tiago J P Sobreira; Paulo S L de Oliveira
Journal:  BMC Bioinformatics       Date:  2014-06-17       Impact factor: 3.169

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