PepBank: A Database of Peptides
Author Information
Author(s): Shtatland Timur, Guettler Daniel, Kossodo Misha, Pivovarov Misha, Weissleder Ralph
Primary Institution: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School
Hypothesis
Can we create a comprehensive database for peptide sequences using text mining and public data sources?
Conclusion
The PepBank database provides a valuable resource for peptide sequences with various biological and medical applications.
Supporting Evidence
- The database contains 19,792 individual peptide entries.
- It includes data from text mining of MEDLINE abstracts and public sources.
- The web interface allows for simple and advanced searches.
Takeaway
PepBank is like a big library where scientists can find information about tiny molecules called peptides that help in medicine and research.
Methodology
The database was constructed using text mining of MEDLINE abstracts, manual curation of articles, and data from public sources like ASPD and UniProt.
Limitations
The database is not complete and relies on the accuracy of text mining and manual curation.
Digital Object Identifier (DOI)
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