QuantumFold integrates quantum circuits with classical deep learning to predict protein structures. Utilizing SidechainNet, it combines quantum feature encoding with LSTM layers for accurate ...
tertiary structure, and often begins co-translationally. Protein folding requires chaperones and often involves stepwise establishment of regular secondary and supersecondary structures ...
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Outer membrane protein TraT protects bacteria from secondary F plasmid conjugation. Here, the authors report cryo-EM structure of decameric cork-like TraT and its evolutionary history as a ...
Protein is vital to the functioning of cells in living organisms. Proteins are required for the structure and regulation of the body’s tissues and organs. They are made up of long chains of amino ...
The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...