Protein segment finder: An online search engine for segment motifs in the PDB

Abraham O. Samson, Michael Levitt

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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 languageEnglish
Pages (from-to)D224-D228
JournalNucleic Acids Research
Volume37
Issue numberSUPPL. 1
DOIs
StatePublished - Jan 2009
Externally publishedYes

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).

FundersFunder number
National Institutes of HealthGM63817
National Eye InstitutePN2EY016525

    Fingerprint

    Dive into the research topics of 'Protein segment finder: An online search engine for segment motifs in the PDB'. Together they form a unique fingerprint.

    Cite this