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MegaMotifBase: a database of structural motifs in protein families and superfamilies
Structural motifs are important for the integrity of a protein fold and can be employed to design and rationalize protein engineering and folding experiments. Such conserved segments represent the conserved core of a family or superfamily and can be crucial for the recognition of potential new membe...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238926/ https://www.ncbi.nlm.nih.gov/pubmed/17933773 http://dx.doi.org/10.1093/nar/gkm794 |
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author | Pugalenthi, Ganesan Suganthan, P. N. Sowdhamini, R. Chakrabarti, Saikat |
author_facet | Pugalenthi, Ganesan Suganthan, P. N. Sowdhamini, R. Chakrabarti, Saikat |
author_sort | Pugalenthi, Ganesan |
collection | PubMed |
description | Structural motifs are important for the integrity of a protein fold and can be employed to design and rationalize protein engineering and folding experiments. Such conserved segments represent the conserved core of a family or superfamily and can be crucial for the recognition of potential new members in sequence and structure databases. We present a database, MegaMotifBase, that compiles a set of important structural segments or motifs for protein structures. Motifs are recognized on the basis of both sequence conservation and preservation of important structural features such as amino acid preference, solvent accessibility, secondary structural content, hydrogen-bonding pattern and residue packing. This database provides 3D orientation patterns of the identified motifs in terms of inter-motif distances and torsion angles. Important applications of structural motifs are also provided in several crucial areas such as similar sequence and structure search, multiple sequence alignment and homology modeling. MegaMotifBase can be a useful resource to gain knowledge about structure and functional relationship of proteins. The database can be accessed from the URL http://caps.ncbs.res.in/MegaMotifbase/index.html |
format | Text |
id | pubmed-2238926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22389262008-02-12 MegaMotifBase: a database of structural motifs in protein families and superfamilies Pugalenthi, Ganesan Suganthan, P. N. Sowdhamini, R. Chakrabarti, Saikat Nucleic Acids Res Articles Structural motifs are important for the integrity of a protein fold and can be employed to design and rationalize protein engineering and folding experiments. Such conserved segments represent the conserved core of a family or superfamily and can be crucial for the recognition of potential new members in sequence and structure databases. We present a database, MegaMotifBase, that compiles a set of important structural segments or motifs for protein structures. Motifs are recognized on the basis of both sequence conservation and preservation of important structural features such as amino acid preference, solvent accessibility, secondary structural content, hydrogen-bonding pattern and residue packing. This database provides 3D orientation patterns of the identified motifs in terms of inter-motif distances and torsion angles. Important applications of structural motifs are also provided in several crucial areas such as similar sequence and structure search, multiple sequence alignment and homology modeling. MegaMotifBase can be a useful resource to gain knowledge about structure and functional relationship of proteins. The database can be accessed from the URL http://caps.ncbs.res.in/MegaMotifbase/index.html Oxford University Press 2008-01 2007-10-11 /pmc/articles/PMC2238926/ /pubmed/17933773 http://dx.doi.org/10.1093/nar/gkm794 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Pugalenthi, Ganesan Suganthan, P. N. Sowdhamini, R. Chakrabarti, Saikat MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title | MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title_full | MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title_fullStr | MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title_full_unstemmed | MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title_short | MegaMotifBase: a database of structural motifs in protein families and superfamilies |
title_sort | megamotifbase: a database of structural motifs in protein families and superfamilies |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238926/ https://www.ncbi.nlm.nih.gov/pubmed/17933773 http://dx.doi.org/10.1093/nar/gkm794 |
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