Abstract
Finding related conformations in the Protein Data Bank (PDB) is essential in many areas of bioscience. To assist this task, we designed a search engine that uses a compact database to quickly identify protein segsments obeying a set of primary, secondary and tertiary structure constraints. The database contains information such as amino acid sequence, secondary structure, disulfide bonds, hydrogen bonds and atoms in contact as calculated from all protein structures in the PDB. The search engine parses the database and returns hits that match the queried parameters. The conformation search engine, which is notable for its high speed and interactive feedback, is expected to assist scientists in discovering conformation homologs and predicting protein structure. The engine is publicly available at http://ari.stanford.edu/ psf and it will also be used in-house in an automatic mode aimed at discovering new protein motifs.
Original language | English |
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Pages (from-to) | D224-D228 |
Journal | Nucleic Acids Research |
Volume | 37 |
Issue number | SUPPL. 1 |
DOIs | |
State | Published - Jan 2009 |
Externally published | Yes |
Bibliographical note
Funding Information:National Institutes of Health (GM63817 and EY016525). Funding for open access charge: National Institutes of Health (GM63817).
Funding
National Institutes of Health (GM63817 and EY016525). Funding for open access charge: National Institutes of Health (GM63817).
Funders | Funder number |
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National Institutes of Health | GM63817 |
National Eye Institute | PN2EY016525 |