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PDBalert: automatic, recurrent remote homology tracking and protein structure prediction
BACKGROUND: During the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known struc...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2605448/ https://www.ncbi.nlm.nih.gov/pubmed/19025670 http://dx.doi.org/10.1186/1472-6807-8-51 |
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author | Agarwal, Vatsal Remmert, Michael Biegert, Andreas Söding, Johannes |
author_facet | Agarwal, Vatsal Remmert, Michael Biegert, Andreas Söding, Johannes |
author_sort | Agarwal, Vatsal |
collection | PubMed |
description | BACKGROUND: During the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known structure (template). When no homologs can be found in the protein structure database (PDB), the user would need to rerun the same search at regular intervals in order to make timely use of a template once it becomes available. RESULTS: PDBalert is a web-based automatic system that sends an email alert as soon as a structure with homology to a protein in the user's watch list is released to the PDB database or appears among the sequences on hold. The mail contains links to the search results and to an automatically generated 3D homology model. The sequence search is performed with the same software as used by the very sensitive and reliable remote homology detection server HHpred, which is based on pairwise comparison of Hidden Markov models. CONCLUSION: PDBalert will accelerate the information flow from the PDB database to all those who can profit from the newly released protein structures for predicting the 3D structure or function of their proteins of interest. |
format | Text |
id | pubmed-2605448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26054482008-12-19 PDBalert: automatic, recurrent remote homology tracking and protein structure prediction Agarwal, Vatsal Remmert, Michael Biegert, Andreas Söding, Johannes BMC Struct Biol Software BACKGROUND: During the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known structure (template). When no homologs can be found in the protein structure database (PDB), the user would need to rerun the same search at regular intervals in order to make timely use of a template once it becomes available. RESULTS: PDBalert is a web-based automatic system that sends an email alert as soon as a structure with homology to a protein in the user's watch list is released to the PDB database or appears among the sequences on hold. The mail contains links to the search results and to an automatically generated 3D homology model. The sequence search is performed with the same software as used by the very sensitive and reliable remote homology detection server HHpred, which is based on pairwise comparison of Hidden Markov models. CONCLUSION: PDBalert will accelerate the information flow from the PDB database to all those who can profit from the newly released protein structures for predicting the 3D structure or function of their proteins of interest. BioMed Central 2008-11-25 /pmc/articles/PMC2605448/ /pubmed/19025670 http://dx.doi.org/10.1186/1472-6807-8-51 Text en Copyright © 2008 Agarwal 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 | Software Agarwal, Vatsal Remmert, Michael Biegert, Andreas Söding, Johannes PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title | PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title_full | PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title_fullStr | PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title_full_unstemmed | PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title_short | PDBalert: automatic, recurrent remote homology tracking and protein structure prediction |
title_sort | pdbalert: automatic, recurrent remote homology tracking and protein structure prediction |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2605448/ https://www.ncbi.nlm.nih.gov/pubmed/19025670 http://dx.doi.org/10.1186/1472-6807-8-51 |
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