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Stanford Evo 2 AI model generates phages against E. coli

ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, bacteriophage, Biology, biosecurity, dna synthesis, Drug resistance, evo 2, Features, Generative AI, genome design, Governance, Regulation & Policy, Healthcare, Healthcare & Wellness AI, How It Works, mrsa, Open Source, Open-Source & Democratised AI, Science, stanford, Synthetic biology

Stanford researchers have synthesised nearly 300 phages from DNA sequences produced by the Evo 2 generative AI model. Laboratory testing narrowed the group to 16 phages that showed particularly strong E. coli-killing activity. The work centres on bacteriophage ΦX174, pronounced “FYE-ex-1-7-4”. Brian Hie, an assistant professor of chemical engineering and Dieter Schwarz Foundation Stanford Data […]

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Safety fears as scientists make first viruses designed by AI

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Researchers say breakthrough offers hope for new medicines but also raises urgent biosecurity questionsScientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe.The viruses are specific kinds known as bacteriophages, which only infect bacteria and

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A.I. Bots Told Scientists How to Make Biological Weapons

ai, AI (Artificial Intelligence), Anthropic AI LLC, Artificial Intelligence, Biology and Biochemistry, DNA (Deoxyribonucleic Acid), Esvelt, Kevin M, Genetic Engineering, Genetics and Heredity, Google Inc, Hazardous and Toxic Substances, OpenAI Labs, Relman, David A, Synthetic biology

Scientists shared transcripts with The Times in which chatbots described how to assemble deadly pathogens and unleash them in public spaces.

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MIT engineers design proteins by their motion, not just their shape

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Proteins are far more than nutrients we track on a food label. Present in every cell of our bodies, they work like nature’s molecular machines. They walk, stretch, bend, and flex to do their jobs, pumping blood, fighting disease, building tissue, and many other jobs too small for the eye to see. Their power doesn’t

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Using synthetic biology and AI to address global antimicrobial resistance threat

ai, AI (Artificial Intelligence), Antibiotics, Artificial Intelligence, Biological engineering, Collaboration, Drug development, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Research, School of Engineering, Synthetic biology

James J. Collins, the Termeer Professor of Medical Engineering and Science at MIT and faculty co-lead of the Abdul Latif Jameel Clinic for Machine Learning in Health, is embarking on a multidisciplinary research project that applies synthetic biology and generative artificial intelligence to the growing global threat of antimicrobial resistance (AMR).The research project is sponsored

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3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

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In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific researchers, including at MIT, have turned to artificial intelligence, and to quantitative analysis and modeling, to design and construct engineered cells with novel properties. The engineered cells can be programmed to become new therapeutics — battling, and perhaps

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