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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Wilkins, Angela D. Sung, Yun-min Wensel, Theodore G. Lichtarge, Olivier Rodriguez, Gustavo J. |
| Description | Author Affiliation: Sung YM ( Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030); Wilkins AD ( Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.); Rodriguez GJ ( Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030); Wensel TG ( Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030); Lichtarge O ( Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030); |
| Abstract | The structural basis of allosteric signaling in G protein-coupled receptors (GPCRs) is important in guiding design of therapeutics and understanding phenotypic consequences of genetic variation. The Evolutionary Trace (ET) algorithm previously proved effective in redesigning receptors to mimic the ligand specificities of functionally distinct homologs. We now expand ET to consider mutual information, with validation in GPCR structure and dopamine D2 receptor (D2R) function. The new algorithm, called ET-MIp, identifies evolutionarily relevant patterns of amino acid covariations. The improved predictions of structural proximity and D2R mutagenesis demonstrate that ET-MIp predicts functional interactions between residue pairs, particularly potency and efficacy of activation by dopamine. Remarkably, although most of the residue pairs chosen for mutagenesis are neither in the binding pocket nor in contact with each other, many exhibited functional interactions, implying at-a-distance coupling. The functional interaction between the coupled pairs correlated best with the evolutionary coupling potential derived from dopamine receptor sequences rather than with broader sets of GPCR sequences. These data suggest that the allosteric communication responsible for dopamine responses is resolved by ET-MIp and best discerned within a short evolutionary distance. Most double mutants restored dopamine response to wild-type levels, also suggesting that tight regulation of the response to dopamine drove the coevolution and intramolecular communications between coupled residues. Our approach provides a general tool to identify evolutionary covariation patterns in small sets of close sequence homologs and to translate them into functional linkages between residues. |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 13 |
| Volume Number | 113 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 2016-04-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Evolution, Molecular Receptors, Dopamine D2 Chemistry Genetics Algorithms Amino Acid Substitution Amino Acids Binding Sites Dopamine Metabolism GTP-Binding Proteins Genetic Variation HEK293 Cells Ligands Models, Molecular Mutagenesis, Site-Directed Protein Interaction Domains And Motifs Recombinant Proteins Serotonin Thermodynamics Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Multidisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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