MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence

MetalDetector identifies CYS and HIS involved in transition metal protein binding sites, starting from sequence alone. A major new feature of release 2.0 is the ability to predict which residues are jointly involved in the coordination of the same metal ion. The server is available at http://metalde...

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Detalles Bibliográficos
Autores principales: Passerini, Andrea, Lippi, Marco, Frasconi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125771/
https://www.ncbi.nlm.nih.gov/pubmed/21576237
http://dx.doi.org/10.1093/nar/gkr365
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author Passerini, Andrea
Lippi, Marco
Frasconi, Paolo
author_facet Passerini, Andrea
Lippi, Marco
Frasconi, Paolo
author_sort Passerini, Andrea
collection PubMed
description MetalDetector identifies CYS and HIS involved in transition metal protein binding sites, starting from sequence alone. A major new feature of release 2.0 is the ability to predict which residues are jointly involved in the coordination of the same metal ion. The server is available at http://metaldetector.dsi.unifi.it/v2.0/.
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spelling pubmed-31257712011-07-05 MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence Passerini, Andrea Lippi, Marco Frasconi, Paolo Nucleic Acids Res Articles MetalDetector identifies CYS and HIS involved in transition metal protein binding sites, starting from sequence alone. A major new feature of release 2.0 is the ability to predict which residues are jointly involved in the coordination of the same metal ion. The server is available at http://metaldetector.dsi.unifi.it/v2.0/. Oxford University Press 2011-07-01 2011-05-14 /pmc/articles/PMC3125771/ /pubmed/21576237 http://dx.doi.org/10.1093/nar/gkr365 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Passerini, Andrea
Lippi, Marco
Frasconi, Paolo
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title_full MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title_fullStr MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title_full_unstemmed MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title_short MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence
title_sort metaldetector v2.0: predicting the geometry of metal binding sites from protein sequence
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125771/
https://www.ncbi.nlm.nih.gov/pubmed/21576237
http://dx.doi.org/10.1093/nar/gkr365
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