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 |
Externí odkaz: |
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