MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses.

ABSTRACT: Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized therapeutics. Multiple AI-based predictors have been developed to predict diverse VHPPIs across a wide range of viruses and hosts, however, these predictors produce better performance only for specific types of hosts and viruses. The prime objective of this research is to develop a robust meta predictor (MP-VHPPI) capable of more accurately predicting VHPPI across multiple hosts and viruses. The proposed meta predictor makes use of two well-known encoding methods Amphiphilic Pseudo-Amino Acid Composition (APAAC) and Quasi-sequence (QS) Order that captur

SUBMITTER: Asim MN 

PROVIDER: S-EPMC9709337 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature