Computational tools for exploring peptide-membrane interactions in gram-positive bacteria.

ABSTRACT: The vital cellular functions in Gram-positive bacteria are controlled by signaling molecules known as quorum sensing peptides (QSPs), considered promising therapeutic interventions for bacterial infections. In the bacterial system QSPs bind to membrane-coupled receptors, which then auto-phosphorylate and activate intracellular response regulators. These response regulators induce target gene expression in bacteria. One of the most reliable trends in drug discovery research for virulence-associated molecular targets is the use of peptide drugs or new functionalities. In this perspective, computational methods act as auxiliary aids for biologists, where methodologies based on machine learning and in silico analysis are developed as suitable tools for target peptide identification. The

SUBMITTER: Kumar S 

PROVIDER: S-EPMC10025024 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature