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IDSS: deformation invariant signatures for molecular shape comparison

BACKGROUND: Many molecules of interest are flexible and undergo significant shape deformation as part of their function, but most existing methods of molecular shape comparison (MSC) treat them as rigid bodies, which may lead to incorrect measure of the shape similarity of flexible molecules. RESULT...

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Detalles Bibliográficos
Autores principales: Liu, Yu-Shen, Fang, Yi, Ramani, Karthik
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694795/
https://www.ncbi.nlm.nih.gov/pubmed/19463181
http://dx.doi.org/10.1186/1471-2105-10-157
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author Liu, Yu-Shen
Fang, Yi
Ramani, Karthik
author_facet Liu, Yu-Shen
Fang, Yi
Ramani, Karthik
author_sort Liu, Yu-Shen
collection PubMed
description BACKGROUND: Many molecules of interest are flexible and undergo significant shape deformation as part of their function, but most existing methods of molecular shape comparison (MSC) treat them as rigid bodies, which may lead to incorrect measure of the shape similarity of flexible molecules. RESULTS: To address the issue we introduce a new shape descriptor, called Inner Distance Shape Signature (IDSS), for describing the 3D shapes of flexible molecules. The inner distance is defined as the length of the shortest path between landmark points within the molecular shape, and it reflects well the molecular structure and deformation without explicit decomposition. Our IDSS is stored as a histogram which is a probability distribution of inner distances between all sample point pairs on the molecular surface. We show that IDSS is insensitive to shape deformation of flexible molecules and more effective at capturing molecular structures than traditional shape descriptors. Our approach reduces the 3D shape comparison problem of flexible molecules to the comparison of IDSS histograms. CONCLUSION: The proposed algorithm is robust and does not require any prior knowledge of the flexible regions. We demonstrate the effectiveness of IDSS within a molecular search engine application for a benchmark containing abundant conformational changes of molecules. Such comparisons in several thousands per second can be carried out. The presented IDSS method can be considered as an alternative and complementary tool for the existing methods for rigid MSC. The binary executable program for Windows platform and database are available from .
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spelling pubmed-26947952009-06-11 IDSS: deformation invariant signatures for molecular shape comparison Liu, Yu-Shen Fang, Yi Ramani, Karthik BMC Bioinformatics Methodology Article BACKGROUND: Many molecules of interest are flexible and undergo significant shape deformation as part of their function, but most existing methods of molecular shape comparison (MSC) treat them as rigid bodies, which may lead to incorrect measure of the shape similarity of flexible molecules. RESULTS: To address the issue we introduce a new shape descriptor, called Inner Distance Shape Signature (IDSS), for describing the 3D shapes of flexible molecules. The inner distance is defined as the length of the shortest path between landmark points within the molecular shape, and it reflects well the molecular structure and deformation without explicit decomposition. Our IDSS is stored as a histogram which is a probability distribution of inner distances between all sample point pairs on the molecular surface. We show that IDSS is insensitive to shape deformation of flexible molecules and more effective at capturing molecular structures than traditional shape descriptors. Our approach reduces the 3D shape comparison problem of flexible molecules to the comparison of IDSS histograms. CONCLUSION: The proposed algorithm is robust and does not require any prior knowledge of the flexible regions. We demonstrate the effectiveness of IDSS within a molecular search engine application for a benchmark containing abundant conformational changes of molecules. Such comparisons in several thousands per second can be carried out. The presented IDSS method can be considered as an alternative and complementary tool for the existing methods for rigid MSC. The binary executable program for Windows platform and database are available from . BioMed Central 2009-05-22 /pmc/articles/PMC2694795/ /pubmed/19463181 http://dx.doi.org/10.1186/1471-2105-10-157 Text en Copyright © 2009 Liu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Liu, Yu-Shen
Fang, Yi
Ramani, Karthik
IDSS: deformation invariant signatures for molecular shape comparison
title IDSS: deformation invariant signatures for molecular shape comparison
title_full IDSS: deformation invariant signatures for molecular shape comparison
title_fullStr IDSS: deformation invariant signatures for molecular shape comparison
title_full_unstemmed IDSS: deformation invariant signatures for molecular shape comparison
title_short IDSS: deformation invariant signatures for molecular shape comparison
title_sort idss: deformation invariant signatures for molecular shape comparison
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694795/
https://www.ncbi.nlm.nih.gov/pubmed/19463181
http://dx.doi.org/10.1186/1471-2105-10-157
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