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A tool for calculating binding-site residues on proteins from PDB structures
BACKGROUND: In the research on protein functional sites, researchers often need to identify binding-site residues on a protein. A commonly used strategy is to find a complex structure from the Protein Data Bank (PDB) that consists of the protein of interest and its interacting partner(s) and calcula...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728722/ https://www.ncbi.nlm.nih.gov/pubmed/19650927 http://dx.doi.org/10.1186/1472-6807-9-52 |
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author | Hu, Jing Yan, Changhui |
author_facet | Hu, Jing Yan, Changhui |
author_sort | Hu, Jing |
collection | PubMed |
description | BACKGROUND: In the research on protein functional sites, researchers often need to identify binding-site residues on a protein. A commonly used strategy is to find a complex structure from the Protein Data Bank (PDB) that consists of the protein of interest and its interacting partner(s) and calculate binding-site residues based on the complex structure. However, since a protein may participate in multiple interactions, the binding-site residues calculated based on one complex structure usually do not reveal all binding sites on a protein. Thus, this requires researchers to find all PDB complexes that contain the protein of interest and combine the binding-site information gleaned from them. This process is very time-consuming. Especially, combing binding-site information obtained from different PDB structures requires tedious work to align protein sequences. The process becomes overwhelmingly difficult when researchers have a large set of proteins to analyze, which is usually the case in practice. RESULTS: In this study, we have developed a tool for calculating binding-site residues on proteins, TCBRP . For an input protein, TCBRP can quickly find all binding-site residues on the protein by automatically combining the information obtained from all PDB structures that consist of the protein of interest. Additionally, TCBRP presents the binding-site residues in different categories according to the interaction type. TCBRP also allows researchers to set the definition of binding-site residues. CONCLUSION: The developed tool is very useful for the research on protein binding site analysis and prediction. |
format | Text |
id | pubmed-2728722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27287222009-08-19 A tool for calculating binding-site residues on proteins from PDB structures Hu, Jing Yan, Changhui BMC Struct Biol Software BACKGROUND: In the research on protein functional sites, researchers often need to identify binding-site residues on a protein. A commonly used strategy is to find a complex structure from the Protein Data Bank (PDB) that consists of the protein of interest and its interacting partner(s) and calculate binding-site residues based on the complex structure. However, since a protein may participate in multiple interactions, the binding-site residues calculated based on one complex structure usually do not reveal all binding sites on a protein. Thus, this requires researchers to find all PDB complexes that contain the protein of interest and combine the binding-site information gleaned from them. This process is very time-consuming. Especially, combing binding-site information obtained from different PDB structures requires tedious work to align protein sequences. The process becomes overwhelmingly difficult when researchers have a large set of proteins to analyze, which is usually the case in practice. RESULTS: In this study, we have developed a tool for calculating binding-site residues on proteins, TCBRP . For an input protein, TCBRP can quickly find all binding-site residues on the protein by automatically combining the information obtained from all PDB structures that consist of the protein of interest. Additionally, TCBRP presents the binding-site residues in different categories according to the interaction type. TCBRP also allows researchers to set the definition of binding-site residues. CONCLUSION: The developed tool is very useful for the research on protein binding site analysis and prediction. BioMed Central 2009-08-03 /pmc/articles/PMC2728722/ /pubmed/19650927 http://dx.doi.org/10.1186/1472-6807-9-52 Text en Copyright © 2009 Hu and Yan; 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 | Software Hu, Jing Yan, Changhui A tool for calculating binding-site residues on proteins from PDB structures |
title | A tool for calculating binding-site residues on proteins from PDB structures |
title_full | A tool for calculating binding-site residues on proteins from PDB structures |
title_fullStr | A tool for calculating binding-site residues on proteins from PDB structures |
title_full_unstemmed | A tool for calculating binding-site residues on proteins from PDB structures |
title_short | A tool for calculating binding-site residues on proteins from PDB structures |
title_sort | tool for calculating binding-site residues on proteins from pdb structures |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728722/ https://www.ncbi.nlm.nih.gov/pubmed/19650927 http://dx.doi.org/10.1186/1472-6807-9-52 |
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