Science
Machine learning tool sets out to find new antimicrobial peptides – Chemistry World
IBM researchers say their fully automated AI-driven system could speed up the discovery of molecules for novel antibiotics
By combining machine learning, molecular dynamics simulations and experiments it has been possible to design antimicrobial peptides from scratch.1 The approach by researchers at IBM is an important advance in a field where data is scarce and trial-and-error design is expensive and slow.
Antimicrobial peptides small molecules consisting of 12 to 50 amino acids are promising drug candidates for tackling antibiotic resistance. The co-evolution of antimicrobial peptides and bacterial phyla over millions…
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