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Drug Discovery

56 summarised stories about Drug Discovery, each linking back to the original source. Browse all topics →

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Saturday, 16 May 2026

Finding the molecular switches behind new infectious diseases

Google DeepMind 5 months ago 37 ● 3 sources

Researchers at Cambridge are using an AI tool called Co-Scientist to identify molecular mechanisms that cause severe disease when pathogens jump from animals to humans. Professor Clare Bryant's lab tested the tool on flu research and found it could narrow experimental focus from candidate proteins down to specific amino acids in six months instead of the typical two to three years. If the AI-guided approach identifies the correct targets, this could accelerate the discovery of intervention points to prevent zoonotic disease severity in humans.

Uniting biological toolkits for a new approach to ALS

Google DeepMind 5 months ago 51

Ritu Raman and Ryan Flynn are collaborating on ALS research by combining their separate expertise in tissue engineering and RNA biology, facilitated by an AI tool called Co-Scientist. Co-Scientist helped Raman rapidly synthesize months of fragmented ALS literature and generate testable hypotheses for her tissue models within weeks. Their combined approach now targets RNA-based mechanisms at cell surfaces as potential therapeutic avenues for ALS.

Uncovering repurposed medicines to fight liver fibrosis

Google DeepMind 5 months ago 35 ● 3 sources

Researchers at Stanford University used an AI tool called Co-Scientist to identify existing medicines that could treat liver fibrosis, a scarring condition that kills over 1.4 million people annually. When tested against human liver cells, two of three AI-selected drug candidates blocked fibrosis progression, while the cancer drug vorinostat blocked 91% of a damage response driving liver scarring. The findings suggest that drugs altering gene activity patterns warrant clinical investigation as potential treatments for the condition.

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