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Researchers detail how ProGen, an LLM trained on 280M proteins, designed proteins with anti-microbial properties that were tested in real life and shown to work

An AI was tasked with creating proteins with anti-microbial properties.  Researchers then created a subset of the proteins and found some did the job

New Scientist Karmela Padavic-Callaghan

Discussion

  • @twenseleers Tom Wenseleers on x
    “Here we describe ProGen, a language model that can generate protein sequences with a predictable function across large protein families, akin to generating grammatically and semantically correct natural language sentences on diverse topics.” https://www.nature.com/...
  • @tonymmorley Tony Morley on x
    “An AI was tasked with creating proteins with anti-microbial properties. Researchers then created a subset of the proteins and found some did the job” — AI has designed bacteria-killing proteins from scratch - and they work @newscientist https://www.newscientist.com/ ...
  • @thisismadani Ali Madani on x
    ChatGPT for biology? Excited to share our work on LLMs for protein design out today @NatureBiotech https://nature.com/... + Proud to publicly announce @ProfluentBio with a $9M seed round to tackle meaningful challenges in biology with AI. Join us!
  • @shiraeis Shira on x
    A LM that can reliably generate protein sequences like grammatically and syntactically correct sentences is a huge deal. https://www.nature.com/...
  • @erictopol Eric Topol on x
    Using large language models like #ChatGPT for life science: making proteins from scratch via ProGen https://www.nature.com/... @NatureBiotech @salesforce @thisismadani @nikhil_ai and colleagues @SFResearch https://twitter.com/...
  • @ppmc_uab @ppmc_uab on x
    Large language models generate functional protein sequences across diverse families | Nature Biotechnology https://www.nature.com/...
  • @sn4ileater @sn4ileater on x
    AI to create new members within protein families! Great! Also, important to mention that not all families are characterized, and within families, there is a lot of untapped subfunctionalization. Genomics enzymology approaches can help explore unknowns. https://www.nature.com/...