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PIDD: database for Protein Inter-atomic Distance Distributions

Protein Inter-atomic Distance Distributions (PIDD) is a dedicated database and structural bio-informatics system for distance based protein modeling. The database is developed to host and analyze the statistical data for protein inter-atomic distances based on their distributions in databases of kno...

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Detalles Bibliográficos
Autores principales: Wu, Di, Cui, Feng, Jernigan, Robert, Wu, Zhijun
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1781147/
https://www.ncbi.nlm.nih.gov/pubmed/17151078
http://dx.doi.org/10.1093/nar/gkl802
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author Wu, Di
Cui, Feng
Jernigan, Robert
Wu, Zhijun
author_facet Wu, Di
Cui, Feng
Jernigan, Robert
Wu, Zhijun
author_sort Wu, Di
collection PubMed
description Protein Inter-atomic Distance Distributions (PIDD) is a dedicated database and structural bio-informatics system for distance based protein modeling. The database is developed to host and analyze the statistical data for protein inter-atomic distances based on their distributions in databases of known protein structures such as in the Protein Data Bank (PDB). PIDD is capable of generating, caching, and displaying the statistical distributions of the distances of various types and ranges. The collected information can be used to extract geometric restraints or mean-force potentials for protein structure determination including nuclear magnetic resonance structure determination and comparative model refinement. PIDD is supported with a friendly designed web interface so that users can easily specify the distance types and ranges, and retrieve, visualize or download the distributions of the distances as they desire. PIDD is freely accessible at
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spelling pubmed-17811472007-02-22 PIDD: database for Protein Inter-atomic Distance Distributions Wu, Di Cui, Feng Jernigan, Robert Wu, Zhijun Nucleic Acids Res Articles Protein Inter-atomic Distance Distributions (PIDD) is a dedicated database and structural bio-informatics system for distance based protein modeling. The database is developed to host and analyze the statistical data for protein inter-atomic distances based on their distributions in databases of known protein structures such as in the Protein Data Bank (PDB). PIDD is capable of generating, caching, and displaying the statistical distributions of the distances of various types and ranges. The collected information can be used to extract geometric restraints or mean-force potentials for protein structure determination including nuclear magnetic resonance structure determination and comparative model refinement. PIDD is supported with a friendly designed web interface so that users can easily specify the distance types and ranges, and retrieve, visualize or download the distributions of the distances as they desire. PIDD is freely accessible at Oxford University Press 2007-01 2006-12-06 /pmc/articles/PMC1781147/ /pubmed/17151078 http://dx.doi.org/10.1093/nar/gkl802 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Wu, Di
Cui, Feng
Jernigan, Robert
Wu, Zhijun
PIDD: database for Protein Inter-atomic Distance Distributions
title PIDD: database for Protein Inter-atomic Distance Distributions
title_full PIDD: database for Protein Inter-atomic Distance Distributions
title_fullStr PIDD: database for Protein Inter-atomic Distance Distributions
title_full_unstemmed PIDD: database for Protein Inter-atomic Distance Distributions
title_short PIDD: database for Protein Inter-atomic Distance Distributions
title_sort pidd: database for protein inter-atomic distance distributions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1781147/
https://www.ncbi.nlm.nih.gov/pubmed/17151078
http://dx.doi.org/10.1093/nar/gkl802
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