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AlphaFold 3 predicts the structure and interactions of life's molecules (blog.google)

1100 points by zerojames · 828 days ago · 487 comments on HN

Article summary

Google DeepMind and Isomorphic Labs have introduced AlphaFold 3, a new AI model that can predict the structure and interactions of all life's molecules, including proteins, DNA, RNA, and ligands. This model has the potential to transform our understanding of the biological world and drug discovery. AlphaFold 3 is available through the AlphaFold Server, a research tool that provides access to its capabilities for free, although with some restrictions. The model builds on the foundations of AlphaFold 2, which made a breakthrough in protein structure prediction in 2020.

Main themes

  • AlphaFold 3
  • AI in biology
  • Drug discovery
  • Open source research
  • Commercialization of AI
  • Academic research

What commenters say

  • The commercialization of AlphaFold 3 may limit its accessibility and hinder its potential to benefit humanity, as it is only available through a restricted server.
  • The development of AlphaFold 3 is a significant breakthrough that could lead to major advances in drug discovery and our understanding of the biological world.
  • The restriction of AlphaFold 3's capabilities and the lack of open-source access may hinder its adoption and development in the academic community.
  • The potential for AlphaFold 3 to be used for commercial gain by pharmaceutical companies raises concerns about the ethics of profiting from life-saving research.
  • The development of open-source alternatives to AlphaFold 3, such as OpenFold, could provide a more accessible and unrestricted solution for researchers.
  • The commercialization of AI research, such as AlphaFold 3, is a necessary step to incentivize innovation and bring about breakthroughs in various fields.
  • The restriction of AlphaFold 3's capabilities may not be a significant hindrance to its adoption, as pharmaceutical companies may still be willing to pay for access to its capabilities.
  • The lack of transparency and openness in the development and commercialization of AlphaFold 3 raises concerns about the accountability and ethics of AI research.