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Towards pathogenomics: a web-based resource for pathogenicity islands.
Yoon, Sung Ho; Park, Young-Kyu; Lee, Soohyun; Choi, Doil; Oh, Tae Kwang; Hur, Cheol-Goo; Kim, Jihyun F.
Afiliación
  • Yoon SH; Systems Microbiology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 52 Oun-dong, Yuseong, Daejeon 305-806, Republic of Korea.
Nucleic Acids Res ; 35(Database issue): D395-400, 2007 Jan.
Article en En | MEDLINE | ID: mdl-17090594
Pathogenicity islands (PAIs) are genetic elements whose products are essential to the process of disease development. They have been horizontally (laterally) transferred from other microbes and are important in evolution of pathogenesis. In this study, a comprehensive database and search engines specialized for PAIs were established. The pathogenicity island database (PAIDB) is a comprehensive relational database of all the reported PAIs and potential PAI regions which were predicted by a method that combines feature-based analysis and similarity-based analysis. Also, using the PAI Finder search application, a multi-sequence query can be analyzed onsite for the presence of potential PAIs. As of April 2006, PAIDB contains 112 types of PAIs and 889 GenBank accessions containing either partial or all PAI loci previously reported in the literature, which are present in 497 strains of pathogenic bacteria. The database also offers 310 candidate PAIs predicted from 118 sequenced prokaryotic genomes. With the increasing number of prokaryotic genomes without functional inference and sequenced genetic regions of suspected involvement in diseases, this web-based, user-friendly resource has the potential to be of significant use in pathogenomics. PAIDB is freely accessible at http://www.gem.re.kr/paidb.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Bases de Datos de Ácidos Nucleicos / Factores de Virulencia / Islas Genómicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2007 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Bases de Datos de Ácidos Nucleicos / Factores de Virulencia / Islas Genómicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2007 Tipo del documento: Article