For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

Learn about Agentic AI and its role in enhancing decision-making in drug discovery through planned actions and verified ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

Supply chains are being diversified and regionalized to mitigate global disruptions, with significant investments in US ...

Scientists have found that combining silybin with carvedilol works far better against liver fibrosis than either drug alone.

Triazoles are privileged five-membered aromatic heterocycles featuring three consecutive nitrogen atoms, and have emerged as versatile scaffolds in ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Drug discovery has long relied on two key strategies: target-based and phenotypic screening. Recombinant technologies and genomics opened the door to modern target-based drug discovery (TBDD), ...

Cells have a remarkable housekeeping system: proteins that are no longer needed, defective, or potentially harmful are labeled with a molecular “tag” and dismantled in the cellular recycling machinery ...

Cells have a remarkable housekeeping system: proteins that are no longer needed, defective, or potentially harmful are labeled with a molecular "tag" and dismantled in the cellular recycling machinery ...

Scientists at the Princeton University Branch of the Ludwig Institute for Cancer Research have identified novel mechanisms by ...