An integrated database for complex protein structure modeling
Qiang Wang, Roland L. Dunbrack
Abstract
Qiang Wang, Roland L. Dunbrack
Abstract
In homology modeling of protein structures, it is typical to find templates through a sequence search against a database of proteins with known structures. In more complicated modeling cases, such as modeling a protein structure in contact with a ligand, sequence information itself may not be enough and more biological information is required for a successful modeling process. SCOP and PFAM are two databases providing protein domain information which can be utilized in complex protein structure modeling. However, due to the manually-curated nature of both databases, they fail to provide timely coverage of protein sequences existing in the Protein Data Bank (PDB). In this paper, we introduce a new relational database, IDOPS, which integrates sequence and biological information extracted from remediated PDB files and protein domain information generated with HMM profiles of PFAM families. With a carefully designed protocol, this database is updated regularly and the coverage rate of PDB entries is guaranteed to be high.
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In homology modeling of protein structures, it is typical to find templates through a sequence search against a database of proteins with known structures. In more complicated modeling cases, such as modeling a protein structure in contact with a ligand, sequence information itself may not be enough and more biological information is required for a successful modeling process. SCOP and PFAM are two databases providing protein domain information which can be utilized in complex protein structure modeling. However, due to the manually-curated nature of both databases, they fail to provide timely coverage of protein sequences existing in the Protein Data Bank (PDB). In this paper, we introduce a new relational database, IDOPS, which integrates sequence and biological information extracted from remediated PDB files and protein domain information generated with HMM profiles of PFAM families. With a carefully designed protocol, this database is updated regularly and the coverage rate of PDB entries is guaranteed to be high.
Key concepts: Protein Data Bank (RCSB PDB), Protein structure database, Protein Data Bank, Computer science, Homology modeling, Biological database, Database, Structural Classification of Proteins database