Cargando…

SDR: a database of predicted specificity-determining residues in proteins

The specificity-determining residue database (SDR database) presents residue positions where mutations are predicted to have changed protein function in large protein families. Because the database pre-calculates predictions on existing protein sequence alignments, users can quickly find the predict...

Descripción completa

Detalles Bibliográficos
Autores principales: Donald, Jason E., Shakhnovich, Eugene I.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686543/
https://www.ncbi.nlm.nih.gov/pubmed/18927118
http://dx.doi.org/10.1093/nar/gkn716
_version_ 1782167432147763200
author Donald, Jason E.
Shakhnovich, Eugene I.
author_facet Donald, Jason E.
Shakhnovich, Eugene I.
author_sort Donald, Jason E.
collection PubMed
description The specificity-determining residue database (SDR database) presents residue positions where mutations are predicted to have changed protein function in large protein families. Because the database pre-calculates predictions on existing protein sequence alignments, users can quickly find the predictions by selecting the appropriate protein family or searching by protein sequence. Predictions can be used to guide mutagenesis or to gain a better understanding of specificity changes in a protein family. The database is available on the web at http://paradox.harvard.edu/sdr.
format Text
id pubmed-2686543
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-26865432009-06-15 SDR: a database of predicted specificity-determining residues in proteins Donald, Jason E. Shakhnovich, Eugene I. Nucleic Acids Res Articles The specificity-determining residue database (SDR database) presents residue positions where mutations are predicted to have changed protein function in large protein families. Because the database pre-calculates predictions on existing protein sequence alignments, users can quickly find the predictions by selecting the appropriate protein family or searching by protein sequence. Predictions can be used to guide mutagenesis or to gain a better understanding of specificity changes in a protein family. The database is available on the web at http://paradox.harvard.edu/sdr. Oxford University Press 2009-01 2008-10-16 /pmc/articles/PMC2686543/ /pubmed/18927118 http://dx.doi.org/10.1093/nar/gkn716 Text en © 2008 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
Donald, Jason E.
Shakhnovich, Eugene I.
SDR: a database of predicted specificity-determining residues in proteins
title SDR: a database of predicted specificity-determining residues in proteins
title_full SDR: a database of predicted specificity-determining residues in proteins
title_fullStr SDR: a database of predicted specificity-determining residues in proteins
title_full_unstemmed SDR: a database of predicted specificity-determining residues in proteins
title_short SDR: a database of predicted specificity-determining residues in proteins
title_sort sdr: a database of predicted specificity-determining residues in proteins
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686543/
https://www.ncbi.nlm.nih.gov/pubmed/18927118
http://dx.doi.org/10.1093/nar/gkn716
work_keys_str_mv AT donaldjasone sdradatabaseofpredictedspecificitydeterminingresiduesinproteins
AT shakhnovicheugenei sdradatabaseofpredictedspecificitydeterminingresiduesinproteins