Article ; Online: Relaxation and single site multiple mutations to identify and control allosteric networks.
2023 Volume 216, Page(s) 51–57
Abstract: 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 ... ...
Abstract | 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. |
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MeSH term(s) | Mutation ; Proteins/chemistry ; Mutagenesis ; Magnetic Resonance Spectroscopy ; Catalytic Domain ; Allosteric Regulation |
Chemical Substances | Proteins |
Language | English |
Publishing date | 2023-06-09 |
Publishing country | United States |
Document type | Review ; Journal Article ; Research Support, N.I.H., Extramural |
ZDB-ID | 1066584-5 |
ISSN | 1095-9130 ; 1046-2023 |
ISSN (online) | 1095-9130 |
ISSN | 1046-2023 |
DOI | 10.1016/j.ymeth.2023.06.002 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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