Discover the potential of macrocycles in drug discovery: flexible, cell-permeable molecules targeting undruggable proteins.

Google DeepMind spinoff Isomorphic Labs expects testing on its first AI-designed drugs to begin this year, as tech startups ...

Discover key considerations for executing workflows in drug discovery, from defining research questions and generating ...

With the use of deep learning and advanced algorithms, generative AI can promote acceleration in the design and development ...

With this model, researchers may be able to discover antibody drugs capable of targeting a wide range of infectious diseases.

AI in drug discovery is “nonsense,” warn some industry veterans ... This includes identifying targets in the body, screening potential candidates, designing drug molecules, predicting toxicity and ...

In an intensive Winter Session course at Brown, undergraduates learned lab techniques and performed experiments as they ...

The global health landscape is constantly challenged by the emergence and re-emergence of viral pathogens. While significant ...

The agency wants applicants to demystify their algorithms and provide specific details about what the models do, how they’re ...

Alloy Therapeutics ("Alloy"), a biotechnology ecosystem company dedicated to democratizing access to cutting edge drug ...

TOKYO--(BUSINESS WIRE)--Axcelead Drug Discovery Partners, Inc. (HQ: Fujisawa, Kanagawa, Japan; “Axcelead DDP”) announced today that it has entered into a drug discovery service agreement with ...