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

Nucleic Acids Res. 2012 Jan;40(Database issue):D252-60. doi: 10.1093/nar/gkr1189. Epub 2011 Dec 6.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Amino Acid Motifs*
  • Amino Acid Sequence
  • Consensus Sequence
  • Databases, Protein*
  • Models, Biological
  • Protein Interaction Maps
  • Proteins / genetics
  • Sequence Analysis, Protein

Substances

  • Proteins