2020
DOI: 10.1007/s12551-020-00678-5
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Theoretical identification of thermostabilizing amino acid mutations for G-protein-coupled receptors

Abstract: Thermostabilization of a membrane proteins, especially G-protein-coupled receptors (GPCRs), is often necessary for biochemical applications and pharmaceutical studies involving structure-based drug design. Here we review our theoretical, physicsbased method for identifying thermostabilizing amino acid mutations. Its novel aspects are the following: The entropic effect originating from the translational displacement of hydrocarbon groups within the lipid bilayer is treated as a pivotal factor; a reliable measur… Show more

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Cited by 7 publications
(4 citation statements)
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“…The thermostabilization of a membrane protein using amino-acid mutations is not straightforward even for a rather unstable protein (e.g., a G-protein coupled receptor (GPCR)), to say nothing for an intrinsically thermostable protein. We first developed a theory for evaluating the structural stability of a GPCR and then extended it to a rhodopsin. Recently, we developed method 1 suited to the identification of stabilizing mutations for rhodopsins with high values of T m . We believe that the extended version and method 1 as well as the methodology proposed in the present article is applicable to GPCRs and rhodopsins with a wide range of T m -values, which should be verified in future investigations.…”
Section: Concluding Remarksmentioning
confidence: 79%
See 1 more Smart Citation
“…The thermostabilization of a membrane protein using amino-acid mutations is not straightforward even for a rather unstable protein (e.g., a G-protein coupled receptor (GPCR)), to say nothing for an intrinsically thermostable protein. We first developed a theory for evaluating the structural stability of a GPCR and then extended it to a rhodopsin. Recently, we developed method 1 suited to the identification of stabilizing mutations for rhodopsins with high values of T m . We believe that the extended version and method 1 as well as the methodology proposed in the present article is applicable to GPCRs and rhodopsins with a wide range of T m -values, which should be verified in future investigations.…”
Section: Concluding Remarksmentioning
confidence: 79%
“…The three-dimensional (3D) structure, one of the most important characteristics, then becomes difficult to solve by X-ray crystallography. Amino-acid mutations provide the most promising means of thermostabilization which should lead to the stabilization against diverse perturbing factors other than the heat as well. First, we developed a theory based on statistical thermodynamics for identifying thermostabilizing mutations for a human GPCR, which considers only the TM portion. It emphasizes the entropic effect originating from the translational displacement of the hydrocarbon groups referred to above. This development led to the new solution of 3D structures of human prostaglandin E receptor EP4, M2 muscarinic receptor, and serotonin 2A receptor (5-HT 2A R) .…”
Section: Introductionmentioning
confidence: 99%
“…The bulk of the Special Issue was composed of numerous review articles (forty-five) chosen from the nearly thirty separate sections of the BSJ’s national society meeting. A short selection of these (many) interesting review articles includes those dealing with the biophysics of chromatin (Ashwin et al 2020 ; Kumar and Kono 2020 ); optogenetics (Kandori 2020 ); computational structure prediction (Kinoshita and Hayashi 2020 ; Leitner and Yamamoto 2020 ; Tsuchiya and Tomii 2020 ); physical biochemistry (Tsumoto et al 2020 ); molecular motors (Li and Toyabe 2020 ; Loutschko and Flechsig 2020 ; Noji et al 2020 ); membrane protein interaction (Moghal et al 2020 ); novel scattering, structural and imaging techniques (Nakasako et al 2020 ; Uchihashi and Ganser 2020 ; Yamaoki et al 2020 ; Yokoyama et al 2020 ); cellular biophysics (Okazaki et al 2020 ; Yasuda 2020 ); biophysical thermochemistry (Fukuyama and Maeda 2020 ; Suzuki and Plakhotnik 2020 ); and biophysical theory (Leitner and Yamamoto 2020 ; Uda 2020 ).…”
Section: Highlights Of 2020mentioning
confidence: 99%
“…The difficulty in producing target molecules has been a bottleneck in drug discovery research. Over the years, we have been conducting fundamental research focused on membrane proteins and have developed a technology to predict heat-resistant mutants of membrane proteins using our unique theoretical calculations [1,2]. A significant advantage of our calculation method is its very short computational time, as it handles entropy effects originating from the translational movement of hydrocarbon chains in lipid molecules from a statistical mechanics standpoint.…”
mentioning
confidence: 99%