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A dwarf sand adder snake \u2013 credit Arno Moller, Unsplash<\/p>\n A dwarf sand adder snake \u2013 credit Arno Moller, Unsplash<\/p>\n
Hundreds of potential antibiotics have been discovered in snake and spider venom thanks to AI.<\/p>\n
A screening of global venom libraries, powered by artificial intelligence uncovered dozens of \u201cpromising\u201d new drug candidates.<\/p>\n
AI has already been used to complete screenings of plant compounds<\/a> and existing drugs<\/a> in search of potential new antibiotics, and snake, scorpion, and spider venoms have proven a fruitful hunting ground as well.<\/p>\n Antibiotic resistance contributes to more than one million deaths worldwide every year. Finding alternative compounds that can eliminate these pathogens is one of medicine\u2019s great ongoing missions.<\/p>\n To that end, researchers at the University of Pennsylvania in the United States used a deep-learning system called APEX to sift through a database of more than 40 million venom encrypted peptides (VEPs), tiny proteins evolved by animals to ravage the nervous system, blood cells, and organs of their prey and\/or attackers.<\/p>\n The algorithm flagged 386 compounds within a matter of hours with the molecular hallmarks of next-generation antibiotics.<\/p>\n \u201cVenoms are evolutionary masterpieces, yet their antimicrobial potential has barely been explored,\u201d said senior study author Professor C\u00e9sar de la Fuente. \u201cAPEX lets us scan an immense chemical space in just hours and identify peptides with exceptional potential to fight the world\u2019s most stubborn pathogens.\u201d<\/p>\n From the AI-selected shortlist, the team synthesized 58 venom peptides for lab testing.<\/p>\n