VirulentPred 2.0: An improved method for prediction of virulent proteins in bacterial pathogens.

ABSTRACT: Virulence proteins in pathogens are essential for causing disease in a host. They enable the pathogen to invade, survive and multiply within the host, thus enhancing its potential to cause disease while also causing evasion of host defense mechanisms. Identifying these factors, especially potential vaccine candidates or drug targets, is critical for vaccine or drug development research. In this context, we present an improved version of VirulentPred 1.0 for rapidly identifying virulent proteins. The VirulentPred 2.0 is based on training machine learning models with experimentally validated virulent protein sequences. VirulentPred 2.0 achieved 84.71% accuracy with the validation dataset and 85.18% on an independent test dataset. The models are trained and evaluated with the latest sequence

SUBMITTER: Sharma A 

PROVIDER: S-EPMC10659933 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature