Work

Solution of the protein structure prediction problem at last: crucial innovations and next frontiers

Year: 2022

Type: article

Abstract: The protein structure prediction problem is solved, at last, thanks in large part to the use of artificial intelligence. The structures predicted by AlphaFold and RoseTTAFold are becoming the requisite starting point for many protein scientists. New frontiers, such as the conformational sampling of intrinsically disordered proteins, are emerging.

Source: Faculty Reviews

DOI: 10.12703/r-01-0000020

Authors: David A. Agard, Gregory R. Bowman, William DeGrado, Nikolay V. Dokholyan, Huan-Xiang Zhou

Institutions: University of California, San Francisco, Chan Zuckerberg Initiative (United States), University of Pennsylvania, Pennsylvania State University, University of Illinois Chicago

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: diamond

Funder: National Institute of General Medical Sciences

Award: Quantitative, Mechanistic Studies of Biomolecular Recognition