The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

H5_fold-0_Chantal, H5_fold-0_Elsa, H6_fold-C_Rei, H6_fold-Z_Gogy, H6_fold-U_Nomur, and H7_fold-K_Mussoc are presented. For each de novo designed protein, the computational model is shown on the left, ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...

The 2024 Nobel prize in chemistry has been awarded to David Baker, Demis Hassabis and John Jumper for their work on understanding the structure of proteins, which play vital roles in all living ...

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 ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

Computational models show that even subtle modifications in the synaptic protein CaMKII completely alter the resulting protein structures. Given how the formation and stability of these structures ...

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Google spent much of the past year hustling to build its Gemini chatbot to counter ChatGPT, pitching it as a multifunctional AI assistant that can help with work tasks or the digital chores of ...

A new computer process makes it possible to generate active pharmaceutical ingredients quickly and easily based on a protein's three-dimensional surface. The new process could revolutionize drug ...

Researchers have taken a significant step forward in understanding the stability of proteins by leveraging the power of AI. The research team used AlphaFold2 to explore how mutations affect protein ...