Document Type
Article
Publication Date
1-2012
Publication Title
Nucleic Acids Research
Volume
40
Issue
Database Issue
First page number:
D252
Last page number:
D260
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.
Keywords
Amino Acid Motifs; Amino Acid Sequence; Biological models; Consensus Sequence; Databases; Protein; Models; Biological; Protein Interaction Maps; Proteins; Proteins/genetics; Sequence Analysis; Protein
Disciplines
Computer Sciences | Life Sciences
Language
English
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Repository Citation
Mi, T.,
Merlin, J. C.,
Deverasetty, S.,
Gryk, M. R.,
Bill, T. J.,
Brooks, A. W.,
Lee, L.,
Rathnayake, V.,
Ross, C. A.,
Sargeant, D. P.,
Strong, C. L.,
Watts, P.,
Rajasekaran, S.,
Schiller, M.
(2012).
Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences..
Nucleic Acids Research, 40(Database Issue),
D252-D260.
http://dx.doi.org/10.1093/nar/gkr1189