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

作者：Mi Tian; Merlin Jerlin Camilus; Deverasetty Sandeep; Gryk Michael R; Bill Travis J; Brooks Andrew W; Lee Logan Y; Rathnayake Viraj; Ross Christian A; Sargeant David P; Strong Christy L; Watts Paula; Rajasekaran Sanguthevar^*; Schiller Martin R

来源：Nucleic Acids Research, 2012, 40(D1): D252-D260.

DOI：10.1093/nar/gkr1189

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.

• 出版日期2012-1