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Review Methods (San Diego, Calif.). 2023 Aug:216:51-57. doi: 10.1016/j.ymeth.2023.06.002 Q14.22024

Relaxation and single site multiple mutations to identify and control allosteric networks

利用松弛效应和单点多位点突变来鉴定和控制别构网络 翻译改进

Eunjeong Lee  1, Jasmina S Redzic  1, Elan Zohar Eisenmesser  2

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作者单位

  • 1 Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado Denver, School of Medicine, Aurora, CO 80045, USA.
  • 2 Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado Denver, School of Medicine, Aurora, CO 80045, USA. Electronic address: Elan.Eisenmesser@ucdenver.edu.
  • DOI: 10.1016/j.ymeth.2023.06.002 PMID: 37302521

    摘要 Ai翻译

    Advances in Nuclear Magnetic Resonance (NMR) spectroscopy have allowed for the identification and characterization of movements in enzymes over the last 20 years that has also revealed the complexities of allosteric coupling. For example, many of the inherent movements of enzymes, and proteins in general, have been shown to be highly localized but nonetheless still coupled over long distances. Such partial couplings provide challenges to both identifying allosteric networks of dynamic communication and determining their roles in catalytic function. We have developed an approach to help identify and engineer enzyme function, called Relaxation And Single Site Multiple Mutations (RASSMM). This approach is a powerful extension of mutagenesis and NMR that is based on the observation that multiple mutations to a single site distal to the active site allosterically induces different effects to networks. Such an approach generates a panel of mutations that can also be subjected to functional studies in order to match catalytic effects with changes to coupled networks. In this review, the RASSMM approach is briefly outlined together with two applications that include cyclophilin-A and Biliverdin Reductase B.

    Keywords:relaxation dynamics; allosteric networks; multiple mutations

    Copyright © Methods (San Diego, Calif.). 中文内容为AI机器翻译,仅供参考!

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    期刊名:Methods

    缩写:METHODS

    ISSN:1046-2023

    e-ISSN:1095-9130

    IF/分区:4.2/Q1

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