Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.

Drug discovery can be a long and complex process. Medicines for neurodegenerative diseases like Alzheimer's disease are among the most expensive to develop, as animal model results have not proven to ...

For decades, scientists have investigated the neurokinin-1 receptor (NK1R) as a potential target for treating major ...

Thought LeadersEdoardo FabiniPrincipal Scientist Evotec U.K. G-protein-coupled receptors (GPCRs) play a pivotal role in cellular signaling and have long been a major focus in drug discovery. These ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Integrated Biosciences, a biotechnology company integrating optogenetics, chemistry and AI to discover small molecule therapeutics for age-related diseases, ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.