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.

Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

Chinese researchers have developed an artificial intelligence-powered virtual drug screening platform that achieves a ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

A research team maps the key tasks that define modern enzyme engineering—function annotation, structure modeling, and property prediction—and explain how AI methods now accelerate each step, from ...

BEIJING, Jan. 10 (Xinhua) -- Chinese researchers have developed an AI-powered virtual drug screening platform that achieves a million-fold increase in screening speeds and a significant improvement in ...

Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: ...

A research team reports that advances in protein design—especially when combined with artificial intelligence—are rapidly ...