University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Researchers from the U and beyond discussed in the Thursday symposium how AI reduces both the time and cost for medical ...

This article explores how advances in AI, structural biology, and new drug modalities are transforming “undruggable” proteins ...

A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and ...

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce ...

Scientists are increasingly applying artificial intelligence (AI) to biologics discovery, including de novo protein design. However, complex sequence-function relationships and the need for ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

The in silico protein design market offers key opportunities in AI-driven drug discovery, personalized medicine, and automation in biological research. With cloud-based simulation growth, partnerships ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...