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    A litmus test for classifying recognition mechanisms of transiently binding proteins

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    Author
    Chakrabarti, Kalyan S.; Olsson, Simon; Pratihar, Supriya; Giller, Karin; Overkamp, Kerstin; More... Lee, Ko On; Gapsys, Vytautas; Ryu, Kyoung-Seok; de Groot, Bert L.; Noé, Frank; Becker, Stefan; Lee, Donghan; Weikl, Thomas R.; Griesinger, Christian Less...
    Date
    2022
    Abstract
    Partner recognition in protein binding is critical for all biological functions, and yet, delineating its mechanism is challenging, especially when recognition happens within microseconds. We present a theoretical and experimental framework based on straight-forward nuclear magnetic resonance relaxation dispersion measurements to investigate protein binding mechanisms on sub-millisecond timescales, which are beyond the reach of standard rapid-mixing experiments. This framework predicts that conformational selection prevails on ubiquitin’s paradigmatic interaction with an SH3 (Src-homology 3) domain. By contrast, the SH3 domain recognizes ubiquitin in a two-state binding process. Subsequent molecular dynamics simulations and Markov state modeling reveal that the ubiquitin conformation selected for binding exhibits a characteristically extended C-terminus. Our framework is robust and expandable for implementation in other binding scenarios with the potential to show that conformational selection might be the design principle of the hubs in protein interaction networks.
    Citation
    Chakrabarti, Kalyan S., Olsson, Simon, Pratihar, Supriya, et al.. "A litmus test for classifying recognition mechanisms of transiently binding proteins." Nature Communications, 13, (2022) Springer Nature: https://doi.org/10.1038/s41467-022-31374-5.
    Published Version
    https://doi.org/10.1038/s41467-022-31374-5
    Type
    Journal article
    Publisher
    Springer Nature
    Citable link to this page
    https://hdl.handle.net/1911/112983
    Rights
    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.
    Link to License
    https://creativecommons.org/licenses/by/4.0/
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    • Chemistry Publications [636]
    • Faculty Publications [4978]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map