The most recent critical assessment of structure prediction meeting (CASP3) revealed significant progress in predicting the three–dimensional folds of proteins with unknown structures.

But not all target proteins were receptive to this method, called structure-based drug design. The 3-D structure of many proteins remained unavailable, and many important proteins could not be ...

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The sequence of amino acids in the chain determines how the chain will fold up to make the protein, so different proteins have different three-dimensional shapes. The three-dimensional shape of 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 ...

AlphaFold and the AlphaFold Protein Structure Database have transformed access to protein structure predictions, enabling modeling of both single chains and complex protein assemblies. However ...

Researchers have found an ancient protein fold that might explain how life’s basic building blocks became the complex systems ...

Scientists from Université de Lille, France, Linköping University, Sweden, and collaborating institutions have introduced ...

The article broadly covers the integration of deep learning techniques in the field of protein structure prediction, highlighting notable advances and comparing them to traditional computational ...

The 2024 Nobel Prize in Chemistry spotlighted computational protein science, honouring breakthroughs in computational protein ...

John A. Lucey, professor of food science at UW-Madison and the director of the Center for Dairy Research, reported that ...