PDB-REPRDB: a database of representative protein chains in PDB (Protein Data Bank).
Tamotsu Noguchi, Kentaro Onizuka, Yutaka Akiyama, Minoru Saito
Abstract
Tamotsu Noguchi, Kentaro Onizuka, Yutaka Akiyama, Minoru Saito
Abstract
We propose a novel set of 'representative' protein chains in PDB, where not only sequential but also structural similarities are taken into account. Hobohm et al. have already proposed "PDB_SELECT", which eliminates redundant chains based solely on sequence similarity. "PDB_SELECT" is frequently updated and the latest version is available at EMBL WWW server. In our set of entries "PDB-REPRDB," however, structural similarities are also considered, in order not to overlook local conformation diversity within a group of sequentially similar chains. Our set guarantees that every representative is the best among that similar protein group, regarding experimental or structure-determination quality (i.e. resolution and R-value). The first version (based on PDB Release 70) of PDB-REPRDB was released in 1995 and the second version (PDB Release 78) will be available by April 1997.
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We propose a novel set of 'representative' protein chains in PDB, where not only sequential but also structural similarities are taken into account. Hobohm et al. have already proposed "PDB_SELECT", which eliminates redundant chains based solely on sequence similarity. "PDB_SELECT" is frequently updated and the latest version is available at EMBL WWW server. In our set of entries "PDB-REPRDB," however, structural similarities are also considered, in order not to overlook local conformation diversity within a group of sequentially similar chains. Our set guarantees that every representative is the best among that similar protein group, regarding experimental or structure-determination quality (i.e. resolution and R-value). The first version (based on PDB Release 70) of PDB-REPRDB was released in 1995 and the second version (PDB Release 78) will be available by April 1997.
Key concepts: Protein Data Bank (RCSB PDB), Protein Data Bank, Computer science, Set (abstract data type), Protein structure, Information retrieval, Database, Data mining