Introduction

Minimotif Miner (MnM) analyzes protein queries for the presence of short contiguous peptide motifs that have a known function in at least one other protein (Minimotifs), Minimotif functions include posttranslational modification of the minimotifs (PTM), binding to a target protein or molecule, and protein trafficking. One major limitation in MnM and other minimotif prediction approaches is that "false positive" minimotifs result from the relatively low sequence complexity of the sequence definition. MnM 3.0 uses a rich semantic model and trained algorithm to reduce false positive predictions. When tested on a large test dataset 39% of validated minimotifs were recovered with all false positives eliminated. This is set as the default filter on MnM 3.0. We suggest that the known biology of the protein query and be used in selecting minimotifs for experimental study.

Please cite the use of Minimotif Miner with the following citations:

  1. 1. Mi T, Merlin JC, Deverasetty S et al. 2011 Nucleic Acids Research
  2. 2. Rajasekaran et al. 2009 Nucleic Acids Research
  3. 3. Balla et al. 2006 Nature Methods

Quick Instructions: [Sample Protein Analysis]

  1. Type in a protein name or Refseq accession number.
  2. Click on "SEARCH MOTIFS" to submit.
[Instructions if you only have the protein sequence]

MnM SEARCH

(or paste a protein sequence in the text box below)
Multi-Score Ranking
Blast It! (Warning: Could take a few minutes for species with many protein sequences)

Advanced Minimotif Miner

Process Batch Input


Please upload as a text file the proteins and/or its accession numbers that are to be batch processed. The result will be sent to the email address specified below:
Click here for an example (Limit to 10 queries at once; If the count exceeds, only the first 10 queries will be considered.)

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