Your browser doesn't support javascript.
loading
The Laccase Engineering Database: a classification and analysis system for laccases and related multicopper oxidases.
Sirim, Demet; Wagner, Florian; Wang, Lei; Schmid, Rolf D; Pleiss, Jürgen.
Afiliación
  • Sirim D; Institute of Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany.
Database (Oxford) ; 2011: bar006, 2011.
Article en En | MEDLINE | ID: mdl-21498547
Laccases and their homologues form the protein superfamily of multicopper oxidases (MCO). They catalyze the oxidation of many, particularly phenolic substances, and, besides playing an important role in many cellular activities, are of interest in biotechnological applications. The Laccase Engineering Database (LccED, http://www.lcced.uni-stuttgart.de) was designed to serve as a tool for a systematic sequence-based classification and analysis of the diverse multicopper oxidase protein family. More than 2200 proteins were classified into 11 superfamilies and 56 homologous families. For each family, the LccED provides multiple sequence alignments, phylogenetic trees and family-specific HMM profiles. The integration of structures for 14 different proteins allows a comprehensive comparison of sequences and structures to derive biochemical properties. Among the families, the distribution of the proteins regarding different kingdoms was investigated. The database was applied to perform a comprehensive analysis by MCO- and laccase-specific patterns. The LccED combines information of sequences and structures of MCOs. It serves as a classification tool to assign new proteins to a homologous family and can be applied to investigate sequence-structure-function relationship and to guide protein engineering. Database URL: http://www.lcced.uni-stuttgart.de.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cobre / Bases de Datos de Proteínas / Lacasa Límite: Animals / Humans Idioma: En Revista: Database (Oxford) Año: 2011 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cobre / Bases de Datos de Proteínas / Lacasa Límite: Animals / Humans Idioma: En Revista: Database (Oxford) Año: 2011 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido