Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

The two collaborated on research showing that quantum computing could greatly aid the design of mRNA-based medicines and ...

The model is trained on a massive dataset over 200 milliseconds of molecular dynamics simulations and half a million protein ...

Drug discovery startup Synfini Inc. said today it has closed on an $8.9 million expansion funding round led by JSL Health ...

Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter "Elix") is pleased to announce that its AI drug discovery platform, Elix Discovery™ ( has been adopted by Eisai Co., Ltd. (Headquarters: ...

Pharmaceutical major Wockhardt Ltd. is going to shift its focus to drug discovery and biologics after exiting the US generics ...

UC Santa Barbara researchers and collaborators from campus biotech spinoff Integrated Biosciences, as well as Harvard, MIT ...

Conversations with entrepreneurs, technologists, and researchers on emerging technologies and the importance of STEM in drug ...

Biology was created by nature and therefore harder to ‘manipulate’, Huang said at the China International Supply Chain Expo ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

AI meets molecular dynamics in Divamics’ latest breakthroughs, accelerating new therapies for complex metabolic conditions.