As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

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 ...

(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 ...

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

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.

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 ...

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 ...

Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.

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