Cargando…
GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies
Since proteins evolve by divergent evolution, proteins with distant homology to each other may or may not bear similar functions. Improved computational approaches are required to recognize distant homologues that are functionally similar. One of the methods of assigning function to sequences is to...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446967/ https://www.ncbi.nlm.nih.gov/pubmed/30943284 http://dx.doi.org/10.1093/database/baz042 |
_version_ | 1783408445528997888 |
---|---|
author | Iyer, Meenakshi S Bhargava, Kartik Pavalam, Murugavel Sowdhamini, Ramanathan |
author_facet | Iyer, Meenakshi S Bhargava, Kartik Pavalam, Murugavel Sowdhamini, Ramanathan |
author_sort | Iyer, Meenakshi S |
collection | PubMed |
description | Since proteins evolve by divergent evolution, proteins with distant homology to each other may or may not bear similar functions. Improved computational approaches are required to recognize distant homologues that are functionally similar. One of the methods of assigning function to sequences is to use profiles derived from sequences of known structure. We describe an update of the Genomic Distribution of protein structural domain Superfamilies (GenDiS) database, namely GenDiS+, which provides a projection of SCOP superfamily members on the sequence space (NR database, NCBI). The sequences are validated using structure-based sequence alignment profiles and domain and full-length sequence alignments. GenDiS+ is a `tour de force’ for detecting homologues within around 160 000 taxonomic identifiers, starting from nearly 11 000 domains of known structure. Features, like full-sequence alignment and phylogeny, domain sequence alignment and phylogeny, list of associated structural and sequence domains with strength of interactions, links to databases like Pfam, UniProt and ModBase and list of sequences with a PDB structure, are provided. |
format | Online Article Text |
id | pubmed-6446967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64469672019-04-09 GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies Iyer, Meenakshi S Bhargava, Kartik Pavalam, Murugavel Sowdhamini, Ramanathan Database (Oxford) Database Update Since proteins evolve by divergent evolution, proteins with distant homology to each other may or may not bear similar functions. Improved computational approaches are required to recognize distant homologues that are functionally similar. One of the methods of assigning function to sequences is to use profiles derived from sequences of known structure. We describe an update of the Genomic Distribution of protein structural domain Superfamilies (GenDiS) database, namely GenDiS+, which provides a projection of SCOP superfamily members on the sequence space (NR database, NCBI). The sequences are validated using structure-based sequence alignment profiles and domain and full-length sequence alignments. GenDiS+ is a `tour de force’ for detecting homologues within around 160 000 taxonomic identifiers, starting from nearly 11 000 domains of known structure. Features, like full-sequence alignment and phylogeny, domain sequence alignment and phylogeny, list of associated structural and sequence domains with strength of interactions, links to databases like Pfam, UniProt and ModBase and list of sequences with a PDB structure, are provided. Oxford University Press 2019-04-03 /pmc/articles/PMC6446967/ /pubmed/30943284 http://dx.doi.org/10.1093/database/baz042 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Update Iyer, Meenakshi S Bhargava, Kartik Pavalam, Murugavel Sowdhamini, Ramanathan GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title | GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title_full | GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title_fullStr | GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title_full_unstemmed | GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title_short | GenDiS database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
title_sort | gendis database update with improved approach and features to recognize homologous sequences of protein domain superfamilies |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446967/ https://www.ncbi.nlm.nih.gov/pubmed/30943284 http://dx.doi.org/10.1093/database/baz042 |
work_keys_str_mv | AT iyermeenakshis gendisdatabaseupdatewithimprovedapproachandfeaturestorecognizehomologoussequencesofproteindomainsuperfamilies AT bhargavakartik gendisdatabaseupdatewithimprovedapproachandfeaturestorecognizehomologoussequencesofproteindomainsuperfamilies AT pavalammurugavel gendisdatabaseupdatewithimprovedapproachandfeaturestorecognizehomologoussequencesofproteindomainsuperfamilies AT sowdhaminiramanathan gendisdatabaseupdatewithimprovedapproachandfeaturestorecognizehomologoussequencesofproteindomainsuperfamilies |