The protein-folding problem: Not yet solved

Article Multidisciplinary Sciences

Computed structures of core eukaryotic protein complexes

Ian R. Humphreys et al.

Summary: By utilizing proteome-wide amino acid coevolution analysis and deep-learning-based structure modeling, we systematically identified and built accurate models of core eukaryotic protein complexes within the Saccharomyces cerevisiae proteome. These models cover nearly 800 previously uncharacterized assemblies, providing comprehensive insights into key processes in eukaryotic cells.

SCIENCE (2021)

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Article Multidisciplinary Sciences

Highly accurate protein structure prediction with AlphaFold

John Jumper et al.

Summary: Proteins are essential for life, and accurate prediction of their structures is a crucial research problem. Current experimental methods are time-consuming, highlighting the need for accurate computational approaches to address the gap in structural coverage. Despite recent progress, existing methods fall short of atomic accuracy in protein structure prediction.

NATURE (2021)

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Letter Biochemistry & Molecular Biology

AlphaFold2 and the future of structural biology

Patrick Cramer

NATURE STRUCTURAL & MOLECULAR BIOLOGY (2021)

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Article Multidisciplinary Sciences

Accurate prediction of protein structures and interactions using a three-track neural network

Minkyung Baek et al.

Summary: Through the three-track network, we achieved accuracies approaching those of DeepMind in CASP14, enabling rapid solution of challenging x-ray crystallography and cryo-electron microscopy structure modeling problems, and providing insights into the functions of proteins with currently unknown structure.

SCIENCE (2021)

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News Item Biochemistry & Molecular Biology