Skip to content
Google DeepMind·· 2026-05-16

Finding the molecular switches behind new infectious diseases

Finding the molecular switches behind new infectious diseases

AI summary

Cambridge professor Clare Bryant uses Google Co-Scientist to study molecular mechanisms causing sepsis when pathogens such as influenza cross species. Generated and ranked hypotheses identified a previously overlooked protein and then specific amino acid sites. Her team is building cell lines carrying these mutations to test the hypotheses, expecting work that normally takes two to three years to finish in six months.

Selection record

Not admittedSum of both 80 < twice the threshold 120

Source tier
Official, first-hand; this tier's threshold is 60
Pre-filter
passed:DeepMind的Co-Scientist AI工具用于科研假设生成

A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.

Source: Google DeepMind · deepmind.google