Predicts bioluminescent proteins which uses a model based on auto covariance and position specific scoring matrix. BLPre includes prediction features which allow users to discover many still unknown functions and design new commercial and medical applications. This tool runs with Position Specific Iterated BLAST (PSI-BLAST) program which permits to obtain sequential evolution information in the form of position specific scoring matrix (PSSM) generated from the inquired sequences. Then, the PSSM is transformed into a fixed-length feature vector by auto covariance (AC) transformation.
School of Computer Science and Information Technology, Northeast Normal University, Changchun, China; School of Life Sciences, Northeast Normal University, Changchun, China; National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China
BLPre funding source(s)
Supported by the National Natural Science Foundation of China (Nos. 61172183 and 61070084), the Natural Science Foundation of Jilin Province (Nos. 20101506 and 20101503), and the Scientific and Technical Project of Administration of Traditional Chinese Medicine of Jilin Province (Nos. 2010pt067 and 2011-zd16).