The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold ...
Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia ...
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 ...
Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia ...
Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...
With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
In a leap for biomedical science, researchers from the A*STAR Genome Institute of Singapore (A*STAR GIS) and A*STAR Bioinformatics Institute (A*STAR BII), in collaboration with the University of ...
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