Structure-Guided Pipeline Designs Peptide Inhibitors That Disarm Fungal Virulence and Drug Resistance
A bioRxiv preprint describes a computational, structure-guided pipeline that designs peptide-based inhibitors against secreted peptidases of the fungal pathogen Cryptococcus. The team targeted three virulence-associated enzymes — Rim13, May1, and CnMpr1 — that the fungus uses to establish infection and evade host defenses. Rather than screening large physical libraries, the pipeline used enzyme structures to guide inhibitor design, then validated the candidates in cell-based assays.
The designed peptides suppressed peptidase-driven virulence and, importantly, showed additive activity when combined with the antifungal drug fluconazole while producing no measurable toxicity to host cells. That combination hints at a way to blunt drug resistance by attacking the pathogen's virulence machinery alongside conventional antifungals.
Fungal infections are a growing and under-treated threat, and the pipeline is a template that could be redirected at other pathogens' proteases. For PeptideWiki, a strong short post would explain how structure-guided peptide design differs from library screening, and why hitting a pathogen's virulence enzymes — rather than its growth directly — is an attractive strategy for slowing resistance.