University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a ...

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

Tamarind’s platform for model coordination and inference enables user-friendly AI tools for life science researchers.

Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...

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.

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

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: ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

Where is DeepMind’s AI protein design spinout? The Alphabet-owned AI company took the biology world by storm in 2020 with AlphaFold2, the protein structure prediction AI platform that “solved” a ...

After demonstrating superhuman performance in games through AlphaGo, DeepMind shifted focus to science. Its breakthrough came with AlphaFold, an AI system that predicts a protein’s three-dimensional ...