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Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences

Authors
Journal
Nucleic Acids Research
0305-1048
Publisher
Oxford University Press
Publication Date
Volume
40
Identifiers
DOI: 10.1093/nar/gkr1189
Keywords
  • Articles
Disciplines
  • Biology
  • Medicine

Abstract

Minimotif Miner (MnM available at http://minimotifminer.org or http://mnm.engr.uconn.edu) is an online database for identifying new minimotifs in protein queries. Minimotifs are short contiguous peptide sequences that have a known function in at least one protein. Here we report the third release of the MnM database which has now grown 60-fold to approximately 300 000 minimotifs. Since short minimotifs are by their nature not very complex we also summarize a new set of false-positive filters and linear regression scoring that vastly enhance minimotif prediction accuracy on a test data set. This online database can be used to predict new functions in proteins and causes of disease.

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