Ebo, JS, Guthertz, N, Radford, SE orcid.org/0000-0002-3079-8039 et al. (1 more author) (2020) Using Protein Engineering to Understand and Modulate Aggregation. Current Opinion in Structural Biology, 60. pp. 157-166. ISSN 0959-440X
Abstract
Protein aggregation occurs through a variety of mechanisms, initiated by the unfolded, non-native, or even the native state itself. Understanding the molecular mechanisms of protein aggregation is challenging, given the array of competing interactions that control solubility, stability, cooperativity and aggregation propensity. An array of methods have been developed to interrogate protein aggregation, spanning computational algorithms able to identify aggregation-prone regions, to deep mutational scanning to define the entire mutational landscape of a protein’s sequence. Here, we review recent advances in this exciting and emerging field, focussing on protein engineering approaches that, together with improved computational methods, hold promise to predict and control protein aggregation linked to human disease, as well as facilitating the manufacture of protein-based therapeutics.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds) > Structural Molecular Biology 2 (Leeds) |
Funding Information: | Funder Grant number Wellcome Trust 204963/Z/16/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jan 2020 10:17 |
Last Modified: | 25 Jun 2023 22:07 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.sbi.2020.01.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155778 |