AlphaFold solved a structural biology riddle: predicting protein structure. And yet, CASP, a global competition born to solve ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure ...

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 ...

QuantumFold integrates quantum circuits with classical deep learning to predict protein structures. Utilizing SidechainNet, it combines quantum feature encoding with LSTM layers for accurate ...

Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence. Protein structures are important because ...

The structure change of adversarial protein sequences predicted by AF2 were explored compared to the wild type protein's structure. CASP14 experiments indicated that altering only three residues ...

Combining interactome analysis with genome editing, we further uncover the RNA-binding protein ELAV-like protein 1 (ELAVL1; also known as human antigen R, HuR) as an hnRNPM interactor. Depletion of ...

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 ...

Professor Jae-Byum Chang and Professor Yeon Sik Jung’s joint research team of the Department of Materials Science and ...

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