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SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures

BACKGROUND: The interacting residues of protein and nucleic acid sequences are close to each other – they are co-located. Structure databases (like Protein Data Bank, PDB and Nucleic Acid Data Bank, NDB) contain all information about these co-locations; however it is not an easy task to penetrate th...

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Detalles Bibliográficos
Autores principales: Biro, Jan C, Fördös, Gergely
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182355/
https://www.ncbi.nlm.nih.gov/pubmed/16011796
http://dx.doi.org/10.1186/1471-2105-6-170
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author Biro, Jan C
Fördös, Gergely
author_facet Biro, Jan C
Fördös, Gergely
author_sort Biro, Jan C
collection PubMed
description BACKGROUND: The interacting residues of protein and nucleic acid sequences are close to each other – they are co-located. Structure databases (like Protein Data Bank, PDB and Nucleic Acid Data Bank, NDB) contain all information about these co-locations; however it is not an easy task to penetrate this complex information. We developed a JAVA tool, called SeqX for this purpose. RESULTS: SeqX tool is useful to detect, analyze and visualize residue co-locations in protein and nucleic acid structures. The user a. selects a structure from PDB; b. chooses an atom that is commonly present in every residues of the nucleic acid and/or protein structure(s) c. defines a distance from these atoms (3–15 Å). The SeqX tool detects every residue that is located within the defined distances from the defined "backbone" atom(s); provides a DotPlot-like visualization (Residues Contact Map), and calculates the frequency of every possible residue pairs (Residue Contact Table) in the observed structure. It is possible to exclude +/- 1 to 10 neighbor residues in the same polymeric chain from detection, which greatly improves the specificity of detections (up to 60% when tested on dsDNA). Results obtained on protein structures showed highly significant correlations with results obtained from literature (p < 0.0001, n = 210, four different subsets). The co-location frequency of physico-chemically compatible amino acids is significantly higher than is calculated and expected in random protein sequences (p < 0.0001, n = 80). CONCLUSION: The tool is simple and easy to use and provides a quick and reliable visualization and analyses of residue co-locations in protein and nucleic acid structures. AVAILABILITY AND REQUIREMENTS: SeqX, Java J2SE Runtime Environment 5.0 (available from [see Additional file 1] ) and at least a 1 GHz processor and with a minimum 256 Mb RAM. Source codes are available from the authors.
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spelling pubmed-11823552005-08-04 SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures Biro, Jan C Fördös, Gergely BMC Bioinformatics Software BACKGROUND: The interacting residues of protein and nucleic acid sequences are close to each other – they are co-located. Structure databases (like Protein Data Bank, PDB and Nucleic Acid Data Bank, NDB) contain all information about these co-locations; however it is not an easy task to penetrate this complex information. We developed a JAVA tool, called SeqX for this purpose. RESULTS: SeqX tool is useful to detect, analyze and visualize residue co-locations in protein and nucleic acid structures. The user a. selects a structure from PDB; b. chooses an atom that is commonly present in every residues of the nucleic acid and/or protein structure(s) c. defines a distance from these atoms (3–15 Å). The SeqX tool detects every residue that is located within the defined distances from the defined "backbone" atom(s); provides a DotPlot-like visualization (Residues Contact Map), and calculates the frequency of every possible residue pairs (Residue Contact Table) in the observed structure. It is possible to exclude +/- 1 to 10 neighbor residues in the same polymeric chain from detection, which greatly improves the specificity of detections (up to 60% when tested on dsDNA). Results obtained on protein structures showed highly significant correlations with results obtained from literature (p < 0.0001, n = 210, four different subsets). The co-location frequency of physico-chemically compatible amino acids is significantly higher than is calculated and expected in random protein sequences (p < 0.0001, n = 80). CONCLUSION: The tool is simple and easy to use and provides a quick and reliable visualization and analyses of residue co-locations in protein and nucleic acid structures. AVAILABILITY AND REQUIREMENTS: SeqX, Java J2SE Runtime Environment 5.0 (available from [see Additional file 1] ) and at least a 1 GHz processor and with a minimum 256 Mb RAM. Source codes are available from the authors. BioMed Central 2005-07-12 /pmc/articles/PMC1182355/ /pubmed/16011796 http://dx.doi.org/10.1186/1471-2105-6-170 Text en Copyright © 2005 Biro and Fördös; 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
Biro, Jan C
Fördös, Gergely
SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title_full SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title_fullStr SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title_full_unstemmed SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title_short SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
title_sort seqx: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182355/
https://www.ncbi.nlm.nih.gov/pubmed/16011796
http://dx.doi.org/10.1186/1471-2105-6-170
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