Cargando…

GIS: a comprehensive source for protein structure similarities

A web service for analysis of protein structures that are sequentially or non-sequentially similar was generated. Recently, the non-sequential structure alignment algorithm GANGSTA+ was introduced. GANGSTA+ can detect non-sequential structural analogs for proteins stated to possess novel folds. Sinc...

Descripción completa

Detalles Bibliográficos
Autores principales: Guerler, Aysam, Knapp, Ernst-Walter
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896118/
https://www.ncbi.nlm.nih.gov/pubmed/20460464
http://dx.doi.org/10.1093/nar/gkq314
_version_ 1782183314245812224
author Guerler, Aysam
Knapp, Ernst-Walter
author_facet Guerler, Aysam
Knapp, Ernst-Walter
author_sort Guerler, Aysam
collection PubMed
description A web service for analysis of protein structures that are sequentially or non-sequentially similar was generated. Recently, the non-sequential structure alignment algorithm GANGSTA+ was introduced. GANGSTA+ can detect non-sequential structural analogs for proteins stated to possess novel folds. Since GANGSTA+ ignores the polypeptide chain connectivity of secondary structure elements (i.e. α-helices and β-strands), it is able to detect structural similarities also between proteins whose sequences were reshuffled during evolution. GANGSTA+ was applied in an all-against-all comparison on the ASTRAL40 database (SCOP version 1.75), which consists of >10 000 protein domains yielding about 55 × 10(6) possible protein structure alignments. Here, we provide the resulting protein structure alignments as a public web-based service, named GANGSTA+ Internet Services (GIS). We also allow to browse the ASTRAL40 database of protein structures with GANGSTA+ relative to an externally given protein structure using different constraints to select specific results. GIS allows us to analyze protein structure families according to the SCOP classification scheme. Additionally, users can upload their own protein structures for pairwise protein structure comparison, alignment against all protein structures of the ASTRAL40 database (SCOP version 1.75) or symmetry analysis. GIS is publicly available at http://agknapp.chemie.fu-berlin.de/gplus.
format Text
id pubmed-2896118
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-28961182010-07-02 GIS: a comprehensive source for protein structure similarities Guerler, Aysam Knapp, Ernst-Walter Nucleic Acids Res Articles A web service for analysis of protein structures that are sequentially or non-sequentially similar was generated. Recently, the non-sequential structure alignment algorithm GANGSTA+ was introduced. GANGSTA+ can detect non-sequential structural analogs for proteins stated to possess novel folds. Since GANGSTA+ ignores the polypeptide chain connectivity of secondary structure elements (i.e. α-helices and β-strands), it is able to detect structural similarities also between proteins whose sequences were reshuffled during evolution. GANGSTA+ was applied in an all-against-all comparison on the ASTRAL40 database (SCOP version 1.75), which consists of >10 000 protein domains yielding about 55 × 10(6) possible protein structure alignments. Here, we provide the resulting protein structure alignments as a public web-based service, named GANGSTA+ Internet Services (GIS). We also allow to browse the ASTRAL40 database of protein structures with GANGSTA+ relative to an externally given protein structure using different constraints to select specific results. GIS allows us to analyze protein structure families according to the SCOP classification scheme. Additionally, users can upload their own protein structures for pairwise protein structure comparison, alignment against all protein structures of the ASTRAL40 database (SCOP version 1.75) or symmetry analysis. GIS is publicly available at http://agknapp.chemie.fu-berlin.de/gplus. Oxford University Press 2010-07-01 2010-05-11 /pmc/articles/PMC2896118/ /pubmed/20460464 http://dx.doi.org/10.1093/nar/gkq314 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Guerler, Aysam
Knapp, Ernst-Walter
GIS: a comprehensive source for protein structure similarities
title GIS: a comprehensive source for protein structure similarities
title_full GIS: a comprehensive source for protein structure similarities
title_fullStr GIS: a comprehensive source for protein structure similarities
title_full_unstemmed GIS: a comprehensive source for protein structure similarities
title_short GIS: a comprehensive source for protein structure similarities
title_sort gis: a comprehensive source for protein structure similarities
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896118/
https://www.ncbi.nlm.nih.gov/pubmed/20460464
http://dx.doi.org/10.1093/nar/gkq314
work_keys_str_mv AT guerleraysam gisacomprehensivesourceforproteinstructuresimilarities
AT knappernstwalter gisacomprehensivesourceforproteinstructuresimilarities