DRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation.

ABSTRACT: Protein remote homology detection is an important task in computational proteomics. Some computational methods have been proposed, which detect remote homology proteins based on different features and algorithms. As noted in previous studies, their predictive results are complementary to each other. Therefore, it is intriguing to explore whether these methods can be combined into one package so as to further enhance the performance power and application convenience. In view of this, we introduced a protein representation called profile-based pseudo protein sequence to extract the evolutionary information from the relevant profiles. Based on the concept of pseudo proteins, a new predictor, called "dRHP-PseRA", was developed by combining four state-of-the-art predictors (PSI-BLAST, HHblits,

SUBMITTER: Chen J 

PROVIDER: S-EPMC5007510 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature