SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.

ABSTRACT: Fast and accurate identification of phage virion proteins (PVPs) would greatly aid facilitation of antibacterial drug discovery and development. Although, several research efforts based on machine learning (ML) methods have been made for in silico identification of PVPs, these methods have certain limitations. Therefore, in this study, we propose a new computational approach, termed SCORPION, (StaCking-based Predictior fOR Phage VIrion PrOteiNs), to accurately identify PVPs using only protein primary sequences. Specifically, we explored comprehensive 13 different feature descriptors from different aspects (i.e., compositional information, composition-transition-distribution information, position-specific information and physicochemical properties) with 10 popular ML algorithms to construct

SUBMITTER: Ahmad S 

PROVIDER: S-EPMC8904530 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature