Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...
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 ...
Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...
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 ...
Northwestern University researchers have identified structural features in engineered cell receptors that correlate with ...
Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...
John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.
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.
Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.
On Wednesday, Quantum-Si Incorporated (NASDAQ:QSI) stock traded over 100% higher after the protein sequencing company announced a collaboration with NVIDIA Corporation (NASDAQ:NVDA) to develop its new ...
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