Harborne, SPD, Strauss, J orcid.org/0000-0001-7482-6567, Boakes, JC et al. (5 more authors) (2020) IMPROvER: The Integral Membrane Protein Stability Selector. Scientific Reports, 10. 15165. ISSN 2045-2322
Abstract
Identifying stabilising variants of membrane protein targets is often required for structure determination. Our new computational pipeline, IMPROvER (The Integral Membrane Protein Stability Selector) provides a rational approach to variant selection by employing three independent approaches: deep-sequence, model-based and data-driven. In-silico tests using known stability
data, and in-vitro tests using three membrane protein targets with 7, 11 and 16 transmembrane helices provided a measure of IMPROvER’s success. In-vitro, individual approaches alone all identified stabilising variants at a rate better than expected by random selection. Low numbers of overlapping predictions between approaches meant a greater success rate was achieved
(four-fold better than random) when approaches were combined and selections restricted to the highest ranked sites. The mix of information IMPROvER uses can be extracted for any helical membrane protein. We have developed the first general-purpose tool for selecting stabilising variants of a-helical membrane proteins, increasing speed and reducing workload.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit 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 Biomedical Sciences (Leeds) |
Funding Information: | Funder Grant number EU - European Union Not Known BBSRC (Biotechnology & Biological Sciences Research Council) BB/M021610/1 BBSRC (Biotechnology & Biological Sciences Research Council) BB/L015056/1 MRC (Medical Research Council) MC_PC_15055 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Aug 2020 13:29 |
Last Modified: | 09 Nov 2020 14:33 |
Status: | Published |
Publisher: | Nature Research |
Identification Number: | 10.1038/s41598-020-71744-x |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164295 |