This article provides examples of how AI is helping to shape drug discovery, from drug design through to clinical trials.

But as the targets of some marketed drugs are considered as conventionally non-druggable, this approach comes with limitations ... information when undertaking discovery efforts against ...

Conventionally, a drug target is defined as a gene ... identification process can help us overcome many limitations of traditional target discovery. For example, leveraging condensate-specific ...

The author emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug ... discovery. "However, it has to be acknowledged that there are ...

With the intensification of global population aging, muscle atrophy, characterized by the loss of muscle mass and function, has become an important health issue affecting the elderly. Researchers have ...

Scripps Research chemists unlock the potential of ketone and ester molecules, paving the way for greener and more efficient ...

Absci Corporation (NASDAQ: ABSI), a data-first generative AI drug creation company, and Owkin, a TechBio that uses agentic AI to unlock complex targets for drug discovery, development, and diagnostics ...

Absci Corporation (NASDAQ: ABSI), a data-first generative AI drug creation company, today announced a strategic collaboration with AMD to deploy AMD Instinct™ accelerators and ROCm™ software to power ...