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New framework leverages 3D protein structures for systems-level analysis of cancer mutations
A study from Cornell researchers could enable a quantum leap forward in identifying and deciphering cancer-driving genetic mutations, the first step in developing effective therapeutics. Cells become ...
With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...
Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers have developed a ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...
For those outside the chemistry cognoscenti, the announcement might have seemed little more than researchers patting each other on the back. But the question of protein folding had plagued scientists ...
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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