Representing and comparing protein structures as paths in three-dimensional space

<p>Abstract</p> <p>Background</p> <p>Most existing formulations of protein structure comparison are based on detailed atomic level descriptions of protein structures and bypass potential insights that arise from a higher-level abstraction.</p> <p>Results<...

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Main Authors: Pevzner Pavel, Cao Haibo, Krishna S Sri, Zhi Degui, Godzik Adam
Format: Article
Language:English
Published: BMC 2006-10-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/460
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spelling doaj-e461289879ea492d94e996f6c0c9bb122020-11-24T21:33:53ZengBMCBMC Bioinformatics1471-21052006-10-017146010.1186/1471-2105-7-460Representing and comparing protein structures as paths in three-dimensional spacePevzner PavelCao HaiboKrishna S SriZhi DeguiGodzik Adam<p>Abstract</p> <p>Background</p> <p>Most existing formulations of protein structure comparison are based on detailed atomic level descriptions of protein structures and bypass potential insights that arise from a higher-level abstraction.</p> <p>Results</p> <p>We propose a structure comparison approach based on a simplified representation of proteins that describes its three-dimensional path by local curvature along the generalized backbone of the polypeptide. We have implemented a dynamic programming procedure that aligns curvatures of proteins by optimizing a defined sum turning angle deviation measure.</p> <p>Conclusion</p> <p>Although our procedure does not directly optimize global structural similarity as measured by RMSD, our benchmarking results indicate that it can surprisingly well recover the structural similarity defined by structure classification databases and traditional structure alignment programs. In addition, our program can recognize similarities between structures with extensive conformation changes that are beyond the ability of traditional structure alignment programs. We demonstrate the applications of procedure to several contexts of structure comparison. An implementation of our procedure, CURVE, is available as a public webserver.</p> http://www.biomedcentral.com/1471-2105/7/460
collection DOAJ
language English
format Article
sources DOAJ
author Pevzner Pavel
Cao Haibo
Krishna S Sri
Zhi Degui
Godzik Adam
spellingShingle Pevzner Pavel
Cao Haibo
Krishna S Sri
Zhi Degui
Godzik Adam
Representing and comparing protein structures as paths in three-dimensional space
BMC Bioinformatics
author_facet Pevzner Pavel
Cao Haibo
Krishna S Sri
Zhi Degui
Godzik Adam
author_sort Pevzner Pavel
title Representing and comparing protein structures as paths in three-dimensional space
title_short Representing and comparing protein structures as paths in three-dimensional space
title_full Representing and comparing protein structures as paths in three-dimensional space
title_fullStr Representing and comparing protein structures as paths in three-dimensional space
title_full_unstemmed Representing and comparing protein structures as paths in three-dimensional space
title_sort representing and comparing protein structures as paths in three-dimensional space
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2006-10-01
description <p>Abstract</p> <p>Background</p> <p>Most existing formulations of protein structure comparison are based on detailed atomic level descriptions of protein structures and bypass potential insights that arise from a higher-level abstraction.</p> <p>Results</p> <p>We propose a structure comparison approach based on a simplified representation of proteins that describes its three-dimensional path by local curvature along the generalized backbone of the polypeptide. We have implemented a dynamic programming procedure that aligns curvatures of proteins by optimizing a defined sum turning angle deviation measure.</p> <p>Conclusion</p> <p>Although our procedure does not directly optimize global structural similarity as measured by RMSD, our benchmarking results indicate that it can surprisingly well recover the structural similarity defined by structure classification databases and traditional structure alignment programs. In addition, our program can recognize similarities between structures with extensive conformation changes that are beyond the ability of traditional structure alignment programs. We demonstrate the applications of procedure to several contexts of structure comparison. An implementation of our procedure, CURVE, is available as a public webserver.</p>
url http://www.biomedcentral.com/1471-2105/7/460
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AT krishnassri representingandcomparingproteinstructuresaspathsinthreedimensionalspace
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