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HOMSTRAD: recent developments of the Homologous Protein Structure Alignment Database.


ABSTRACT: HOMSTRAD (http://www-cryst.bioc.cam.ac.uk/ homstrad/) is a collection of protein families, clustered on the basis of sequence and structural similarity. The database is unique in that the protein family sequence alignments have been specially annotated using the program, JOY, to highlight a wide range of structural features. Such data are useful for identifying key structurally conserved residues within the families. Superpositions of the structures within each family are also available and a sensitive structure-aided search engine, FUGUE, can be used to search the database for matches to a query protein sequence. Historically, HOMSTRAD families were generated using several key pieces of software, including COMPARER and MNYFIT, and held in a number of flat files and indexes. A new relational database version of HOMSTRAD, HOMSTRAD BETA (http://www-cryst.bioc.cam. ac.uk/homstradbeta/) is being developed using MySQL. This relational data structure provides more flexibility for future developments, reduces update times and makes data more easily accessible. Consequently it has been possible to add a number of new web features including a custom alignment facility. Altogether, this makes HOMSTRAD and its new BETA version, an excellent resource both for comparative modelling and for identifying distant sequence/structure similarities between proteins.

SUBMITTER: Stebbings LA 

PROVIDER: S-EPMC308761 | biostudies-literature | 2004 Jan

REPOSITORIES: biostudies-literature

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HOMSTRAD: recent developments of the Homologous Protein Structure Alignment Database.

Stebbings Lucy A LA   Mizuguchi Kenji K  

Nucleic acids research 20040101 Database issue


HOMSTRAD (http://www-cryst.bioc.cam.ac.uk/ homstrad/) is a collection of protein families, clustered on the basis of sequence and structural similarity. The database is unique in that the protein family sequence alignments have been specially annotated using the program, JOY, to highlight a wide range of structural features. Such data are useful for identifying key structurally conserved residues within the families. Superpositions of the structures within each family are also available and a se  ...[more]

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