For the second time in three years, the Nobel committee for chemistry has cited AlphaFold — Google DeepMind's protein-structure-prediction system — in the acknowledged research stack of a laureate's award-winning work.
The 2026 prize, announced on Wednesday, recognised Professor Mei Lin of Stanford for her work on engineered enzyme catalysts. Professor Lin's group used AlphaFold 4 to triage roughly 240,000 candidate structures in the early phase of the project.
Authorship norms in flux
The recognition has reignited a quiet debate inside the scientific community about authorship. AlphaFold has been listed as a tool in dozens of major papers since 2021, but never as a co-author, despite contributing what would, if performed by a human collaborator, almost certainly merit one.
Nature's editorial board declined to comment on whether its policies will evolve. Several preprint servers, including bioRxiv, are reportedly considering a new "primary computational contributor" field.