About PepBank

PepBank is a database of peptides based on sequence text mining and public peptide data sources. Only peptides that are 20 amino acids or shorter are stored. Only peptides with available sequences are stored.

Version 2 (October 2009) [PubMed] [Full text]

The heat map can be used to navigate the results. Entries are automatically classified into predefined categories of interest, for example: related to cancer, have binding data available, etc, using a machine learning algorithm. The users are able to vote. Each vote is used to tag the entry and improve classification of other, untagged entries.

Version 1 (August 2007) [PubMed] [Full text]

A new text mining tool was developed and used to identify peptide sequences in MEDLINE abstracts. These data were combined with two of the public sources of peptide sequence data, ASPD and UniProt, as well as with peptide data that are manually curated from abstracts and full text articles. To search for sequences, use BLAST search or Smith-Waterman search. Score is a measure of confidence of the entry, ranging from 0 (lowest) to 1 (highest). Confidence is higher for manually annotated than for automatically mined entries.

One-Click papers provided by

PepBank has been developed and is maintained by http://ric.csb.mgh.harvard.edu