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A structural biology community assessment of AlphaFold2 applications.


ABSTRACT: Most proteins fold into 3D structures that determine how they function and orchestrate the biological processes of the cell. Recent developments in computational methods for protein structure predictions have reached the accuracy of experimentally determined models. Although this has been independently verified, the implementation of these methods across structural-biology applications remains to be tested. Here, we evaluate the use of AlphaFold2 (AF2) predictions in the study of characteristic structural elements; the impact of missense variants; function and ligand binding site predictions; modeling of interactions; and modeling of experimental structural data. For 11 proteomes, an average of 25% additional residues can be confidently modeled when compared with homology modeling, identifying structural features rarely seen in the Protein Data Bank. AF2-based predictions of protein disorder and complexes surpass dedicated tools, and AF2 models can be used across diverse applications equally well compared with experimentally determined structures, when the confidence metrics are critically considered. In summary, we find that these advances are likely to have a transformative impact in structural biology and broader life-science research.

SUBMITTER: Akdel M 

PROVIDER: S-EPMC9663297 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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A structural biology community assessment of AlphaFold2 applications.

Akdel Mehmet M   Pires Douglas E V DEV   Pardo Eduard Porta EP   Jänes Jürgen J   Zalevsky Arthur O AO   Mészáros Bálint B   Bryant Patrick P   Good Lydia L LL   Laskowski Roman A RA   Pozzati Gabriele G   Shenoy Aditi A   Zhu Wensi W   Kundrotas Petras P   Serra Victoria Ruiz VR   Rodrigues Carlos H M CHM   Dunham Alistair S AS   Burke David D   Borkakoti Neera N   Velankar Sameer S   Frost Adam A   Basquin Jérôme J   Lindorff-Larsen Kresten K   Bateman Alex A   Kajava Andrey V AV   Valencia Alfonso A   Ovchinnikov Sergey S   Durairaj Janani J   Ascher David B DB   Thornton Janet M JM   Davey Norman E NE   Stein Amelie A   Elofsson Arne A   Croll Tristan I TI   Beltrao Pedro P  

Nature structural & molecular biology 20221107 11


Most proteins fold into 3D structures that determine how they function and orchestrate the biological processes of the cell. Recent developments in computational methods for protein structure predictions have reached the accuracy of experimentally determined models. Although this has been independently verified, the implementation of these methods across structural-biology applications remains to be tested. Here, we evaluate the use of AlphaFold2 (AF2) predictions in the study of characteristic  ...[more]

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