Research Topic: target identification

Discovery of novel targets for important human and plant fungal pathogens via an automated computational pipeline HitList

Researchers created a computer program called HitList that searches fungal DNA to find new targets for antifungal medications. The program identified 16 promising protein targets that could be attacked by new antifungal drugs, including 8 completely new targets never before considered. This discovery could help develop new antifungal treatments to fight drug-resistant fungal infections in both humans and crops.

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Breaking down biofilms across critical priority fungal pathogens: proteomics and computational innovation for mechanistic insights and new target discovery

Fungal infections like cryptococcal meningitis and invasive aspergillosis are becoming increasingly difficult to treat because fungi form protective structures called biofilms that resist our current medications. Researchers are using advanced techniques like mass spectrometry to identify the proteins that help fungi build these biofilms, combined with artificial intelligence tools to design new drugs that could break down these protective shields. This combined approach offers hope for developing better antifungal treatments that could save millions of lives.

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