A recent review article highlights evolving MS-based methodologies that are reshaping ligand discovery and mechanistic characterization for membrane protein drug targets. LCGC International spoke to ...

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 ...

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

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 ...

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 ...

DeepTarget’s predictions are based on the principle that removing a gene encoding the protein target of a given drug through CRISPR-Cas9 gene editing can mimic the inhibitory effects of that drug. The ...