AI agents promise to transform drug discovery, but where do they really add value? Dr Eric Ma examines search, model choice, ...

Insilico Medicine has nominated ISM1354, an AI-designed small-molecule GIPR antagonist, as a preclinical candidate for ...

A mathematical model developed by researchers from Mass General Brigham and the University of Cyprus suggests that the ...

A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity ...

A newly identified epitope on the circumsporozoite protein of Plasmodium vivax could offer a route to vaccines that prevent ...

Researchers at the University of Osaka have developed a streamlined laboratory method that uses just three sequentially ...

A review from researchers at Naval Medical University and Shanghai Jiao Tong University examines how engineering CAR T cells ...

New preclinical data suggests that menin inhibitor KO-7246 can regenerate functional pancreatic β-cells and sustain improvements in blood glucose control across both Type 1 and Type 2 diabetes models.

AI agents can search, analyse and plan across drug discovery workflows, but where should scientists hand over control? We ...

A mathematical framework simulates how metals such as copper and zinc interact with amyloid-beta, offering a new ...

Researchers at USF Health have identified a previously unknown brain circuit in the hypothalamus that coordinates eating ...

Virtual screening can assess billions of compounds, but performance can fall on unfamiliar targets. Combining AI with molecular physics could help make predictions more reliable. Finding a starting ...