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BioEmu, a new deep learning system, predicts protein shapes quickly and accurately, complementing traditional molecular ...
These proteins can have too many conformations for researchers to keep track of, says Kejia Wu, a postdoctoral researcher ...
Many proteins are capable of spontaneously rearranging themselves within cells to form molecular condensates—membraneless ...
Scientists David Baker's UW lab are using generative AI to target 'undruggable' proteins for creating new drugs and ...
Heart-healthy proteins are typically low in saturated fat and high in other beneficial nutrients. Learn which eight proteins ...
A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.
Scientists identified a nuclear mechanism that distinguishes chronic inflammation from acute inflammation in mice.
PopA protein breaks structural rules, revealing new bacterial membrane behaviors, protein folding twists, and potential ...
However, when you buy something through our retail links, Condé Nast may earn an affiliate commission.If you’ve ever done a cursory search for a decent protein powder, you’ve probably seen droves of ...
Proteins are responsible multiple biological functions, such as ligand binding, catalysis, and ion channeling. This functionality is enabled by proteins' three-dimensional structures that require long ...
Protein sequences accumulate in large quantities, and the traditional method of annotating protein function by experiment has been unable to bridge the gap between annotated proteins and unannotated ...
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and ...