Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences
T Mi, JC Merlin, S Deverasetty, MR Gryk…�- Nucleic acids�…, 2012 - academic.oup.com
Nucleic acids research, 2012•academic.oup.com
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�…
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�…
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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