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.
Computer Sciences | Life Sciences
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Merlin, J. C.,
Gryk, M. R.,
Bill, T. J.,
Brooks, A. W.,
Ross, C. A.,
Sargeant, D. P.,
Strong, C. L.,
Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences..
Nucleic Acids Research, 40(Database Issue),