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

Autor: Mi T; Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA., Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR
Jazyk: angličtina
Zdroj: Nucleic acids research [Nucleic Acids Res] 2012 Jan; Vol. 40 (Database issue), pp. D252-60. Date of Electronic Publication: 2011 Dec 06.
DOI: 10.1093/nar/gkr1189
Abstrakt: 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.
Databáze: MEDLINE