Evidence map›Paper›PMID 26979958›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Intramolecular allosteric communication in dopamine D2 receptor revealed by evolutionary amino acid covariation.

Yun-Min Sung, Angela D Wilkins, Gustavo J Rodriguez, Theodore G Wensel, Olivier Lichtarge

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Allosteric Modulators of Dopamine DMolecules (Basel, Switzerland) · 2022
    Review
  3. Article
  4. Recurrent high-impact mutations at cognate structural positions in class A G protein-coupled receptors expressed in tumors.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Reprogramming G protein coupled receptor structure and function.Current opinion in structural biology · 2018
    Review
  15. Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Article
  17. Applications of sequence coevolution in membrane protein biochemistry.Biochimica et biophysica acta. Biomembranes · 2018
    Review
  18. Article
  19. Power law tails in phylogenetic systems.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yun-Min SungVerna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030;
Angela D WilkinsDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030.
Gustavo J RodriguezVerna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030;
Theodore G WenselVerna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030; lichtarge@bcm.edu twensel@bcm.edu.
Olivier LichtargeVerna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 lichtarge@bcm.edu twensel@bcm.edu.

Funding

Functional Determinnats in G Protein-coupled ReceptorsR01GM066099 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2003 to 2022
$7.5M
Trasnducin Interactions with Photoreceptor MembranesR01EY007981 · NEI · BAYLOR COLLEGE OF MEDICINE · PI WENSEL, THEODORE G · 1989 to 2016
$6.1M
RGS Protein Function in Mammalian RetinaR01EY011900 · NEI · BAYLOR COLLEGE OF MEDICINE · PI WENSEL, THEODORE G · 1998 to 2010
$4.4M
Comparative genomics of protein structure and functionR01GM079656 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2007 to 2019
$4.3M
Training in Pharmacoinformatics(RMI)T90DK070109 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI STANCEL, GEORGE M. · 2004 to 2008
$1.6M
NEI NIH HHS 01-EY007981NEI NIH HHS R01 EY007981NEI NIH HHS R01 EY011900NEI NIH HHS R01-EY011900NIDDK NIH HHS T90 DK070109NIDDK NIH HHS T90-DK070109NIGMS NIH HHS R01 GM066099NIGMS NIH HHS R01-GM066099NIGMS NIH HHS R01 GM079656NIGMS NIH HHS R01-GM079656
6 · The paper itself

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.

Indexed as

Evolution, MolecularAlgorithmsAmino AcidsAmino Acid SubstitutionBinding SitesDopamineGenetic VariationGTP-Binding ProteinsHEK293 CellsHumansLigandsModels, MolecularMutagenesis, Site-DirectedProtein Interaction Domains and MotifsReceptors, Dopamine D2Recombinant ProteinsAmino AcidsDopamineGTP-Binding ProteinsLigandsReceptors, Dopamine D2Recombinant ProteinsSerotoninallosteryEvolutionary TraceG protein-coupled receptorsresidue covariation

Identifiers

PMID26979958
PMCPMC4822589

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.