Introduction In a new study, researchers from the Machine Biology Group have unveiled a novel class of antimicrobial agents dubbed encrypted peptides. his research—published in Trends in Biotechnology by Cell Press—challenges long-standing ideas about the immune system and opens exciting possibilities for new treatments. A Shift in Understanding Immunity Traditionally, we’ve viewed the immune system […]
Continue readingAuthor Archive: Cesar de la Fuente Nunez
Mining human microbiomes reveals an untapped source of peptide antibiotics
Introduction In response to the alarming rise of drug-resistant bacteria, which has far outpaced the development of conventional antibiotics, our latest research published in Cell has identified a promising new avenue for antibiotic discovery within the human microbiome. As global health faces a severe threat from antibiotic resistance, our team in collaboration with Ami S. […]
Continue readingAI discovers antibiotics in extinct organisms
Introduction Antimicrobial resistance (AMR) is one of the greatest threats facing humanity today, making the need for new antibiotics more critical than ever. Traditional approaches to antibiotic discovery are painstakingly slow, often taking years to identify preclinical candidates. In a groundbreaking study published in Nature Biomedical Engineering, our team introduces APEX, a new AI model […]
Continue readingAI-Driven Discovery of Nearly 1 Million New Antibiotics in the Global Microbiome
Introduction Antimicrobial resistance is one of the greatest threats facing humanity and novel antibiotics are urgently needed. In a recent study published in Cell, our team, along with fantastic collaborators, leveraged computational techniques to accelerate the search for new antimicrobial compounds, specifically focusing on antimicrobial peptides (AMPs). By employing advanced genome mining methods, we identified […]
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