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...
Autores principales: | , |
---|---|
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 |