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EyeSite: a semi-automated database of protein families in the eye.


ABSTRACT: The EyeSite is a web-based database of protein families for proteins that function in the eye and their homologous sequences. The resource clusters proteins at different levels of homology in order to facilitate functional annotation of sequences and modelling of proteins from structural homologues. Eye proteins are organized into the tissue types in which they function and are clustered into homologous families using a novel protocol employing the TribeMCL algorithm. Homologous families are further subdivided into sequence clusters for which multiple sequence alignments are generated. Structural annotations from the CATH domain database are provided for nearly 90% of the sequences, and protein family annotations from the Pfam database for approximately 86%. Homology models have also been generated where appropriate. The EyeSite is stored in a relational database and is extensively linked to other online bioinformatics resources to help relate allelic variants, annotations and clinical details to the derived data in the database. The EyeSite is available for online search, sequence information and model retrieval at http://eyesite.cryst.bbk.ac.uk/.

SUBMITTER: Lee DA 

PROVIDER: S-EPMC308824 | biostudies-literature | 2004 Jan

REPOSITORIES: biostudies-literature

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EyeSite: a semi-automated database of protein families in the eye.

Lee David A DA   Fefeu Sandrine S   Edo-Ukeh Adrian A AA   Orengo Christine A CA   Slingsby Christine C  

Nucleic acids research 20040101 Database issue


The EyeSite is a web-based database of protein families for proteins that function in the eye and their homologous sequences. The resource clusters proteins at different levels of homology in order to facilitate functional annotation of sequences and modelling of proteins from structural homologues. Eye proteins are organized into the tissue types in which they function and are clustered into homologous families using a novel protocol employing the TribeMCL algorithm. Homologous families are fur  ...[more]

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