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Integrated web service for improving alignment quality based on segments comparison

BACKGROUND: Defining blocks forming the global protein structure on the basis of local structural regularity is a very fruitful idea, extensively used in description, and prediction of structure from only sequence information. Over many years the secondary structure elements were used as available b...

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Autores principales: Plewczynski, Dariusz, Rychlewski, Leszek, Ye, Yuzhen, Jaroszewski, Lukasz, Godzik, Adam
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC497040/
https://www.ncbi.nlm.nih.gov/pubmed/15271224
http://dx.doi.org/10.1186/1471-2105-5-98
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author Plewczynski, Dariusz
Rychlewski, Leszek
Ye, Yuzhen
Jaroszewski, Lukasz
Godzik, Adam
author_facet Plewczynski, Dariusz
Rychlewski, Leszek
Ye, Yuzhen
Jaroszewski, Lukasz
Godzik, Adam
author_sort Plewczynski, Dariusz
collection PubMed
description BACKGROUND: Defining blocks forming the global protein structure on the basis of local structural regularity is a very fruitful idea, extensively used in description, and prediction of structure from only sequence information. Over many years the secondary structure elements were used as available building blocks with great success. Specially prepared sets of possible structural motifs can be used to describe similarity between very distant, non-homologous proteins. The reason for utilizing the structural information in the description of proteins is straightforward. Structural comparison is able to detect approximately twice as many distant relationships as sequence comparison at the same error rate. RESULTS: Here we provide a new fragment library for Local Structure Segment (LSS) prediction called FRAGlib which is integrated with a previously described segment alignment algorithm SEA. A joined FRAGlib/SEA server provides easy access to both algorithms, allowing a one stop alignment service using a novel approach to protein sequence alignment based on a network matching approach. The FRAGlib used as secondary structure prediction achieves only 73% accuracy in Q3 measure, but when combined with the SEA alignment, it achieves a significant improvement in pairwise sequence alignment quality, as compared to previous SEA implementation and other public alignment algorithms. The FRAGlib algorithm takes ~2 min. to search over FRAGlib database for a typical query protein with 500 residues. The SEA service align two typical proteins within circa ~5 min. All supplementary materials (detailed results of all the benchmarks, the list of test proteins and the whole fragments library) are available for download on-line at . CONCLUSIONS: The joined FRAGlib/SEA server will be a valuable tool both for molecular biologists working on protein sequence analysis and for bioinformaticians developing computational methods of structure prediction and alignment of proteins.
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spelling pubmed-4970402004-07-31 Integrated web service for improving alignment quality based on segments comparison Plewczynski, Dariusz Rychlewski, Leszek Ye, Yuzhen Jaroszewski, Lukasz Godzik, Adam BMC Bioinformatics Software BACKGROUND: Defining blocks forming the global protein structure on the basis of local structural regularity is a very fruitful idea, extensively used in description, and prediction of structure from only sequence information. Over many years the secondary structure elements were used as available building blocks with great success. Specially prepared sets of possible structural motifs can be used to describe similarity between very distant, non-homologous proteins. The reason for utilizing the structural information in the description of proteins is straightforward. Structural comparison is able to detect approximately twice as many distant relationships as sequence comparison at the same error rate. RESULTS: Here we provide a new fragment library for Local Structure Segment (LSS) prediction called FRAGlib which is integrated with a previously described segment alignment algorithm SEA. A joined FRAGlib/SEA server provides easy access to both algorithms, allowing a one stop alignment service using a novel approach to protein sequence alignment based on a network matching approach. The FRAGlib used as secondary structure prediction achieves only 73% accuracy in Q3 measure, but when combined with the SEA alignment, it achieves a significant improvement in pairwise sequence alignment quality, as compared to previous SEA implementation and other public alignment algorithms. The FRAGlib algorithm takes ~2 min. to search over FRAGlib database for a typical query protein with 500 residues. The SEA service align two typical proteins within circa ~5 min. All supplementary materials (detailed results of all the benchmarks, the list of test proteins and the whole fragments library) are available for download on-line at . CONCLUSIONS: The joined FRAGlib/SEA server will be a valuable tool both for molecular biologists working on protein sequence analysis and for bioinformaticians developing computational methods of structure prediction and alignment of proteins. BioMed Central 2004-07-22 /pmc/articles/PMC497040/ /pubmed/15271224 http://dx.doi.org/10.1186/1471-2105-5-98 Text en Copyright © 2004 Plewczynski et al; licensee BioMed Central Ltd.
spellingShingle Software
Plewczynski, Dariusz
Rychlewski, Leszek
Ye, Yuzhen
Jaroszewski, Lukasz
Godzik, Adam
Integrated web service for improving alignment quality based on segments comparison
title Integrated web service for improving alignment quality based on segments comparison
title_full Integrated web service for improving alignment quality based on segments comparison
title_fullStr Integrated web service for improving alignment quality based on segments comparison
title_full_unstemmed Integrated web service for improving alignment quality based on segments comparison
title_short Integrated web service for improving alignment quality based on segments comparison
title_sort integrated web service for improving alignment quality based on segments comparison
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC497040/
https://www.ncbi.nlm.nih.gov/pubmed/15271224
http://dx.doi.org/10.1186/1471-2105-5-98
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