Bagdonas, Haroldas and Fogarty, Carl A. and Fadda, Elisa and Agirre, Jon (2021) The case for post-predictional modifications in the AlphaFold Protein Structure Database. Nature Structural & Molecular Biology, 28 (11). pp. 869-870. ISSN 1545-9993

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Abstract

AlphaFold2 has arrived to change workflows in structural biology, for good. However, the algorithm does not account for essential modifications that affect protein structure and function, which gives us only part of the picture. Here we discuss how this omission can be addressed in a relatively straightforward manner, which leads to a complete structural prediction of complex biomolecular systems.

Item Type:	Article
Additional Information:	Cite as: Bagdonas, H., Fogarty, C.A., Fadda, E. & Agirre, J. 2021, "The case for post-predictional modifications in the AlphaFold Protein Structure Database", Nature structural & molecular biology, vol. 28, no. 11, pp. 869-870.
Keywords:	Algorithms; Analysis Databases; Protein Post-translational modification; Protein Conformation; Protein Modification; Translational Protein Processing; Post-Translational Protein structure; Proteins Structure;
Academic Unit:	Faculty of Science and Engineering > Chemistry Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > Human Health Institute
Item ID:	17434
Identification Number:	https://doi.org/10.1038/s41594-021-00680-9
Depositing User:	Elisa Fadda
Date Deposited:	17 Aug 2023 09:31
Journal or Publication Title:	Nature Structural & Molecular Biology
Publisher:	Nature Publishing Group
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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