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Characterization of the Modes of Binding between Human Sweet Taste Receptor and Low-Molecular-Weight Sweet Compounds

Overview of attention for article published in PLOS ONE, April 2012
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Title
Characterization of the Modes of Binding between Human Sweet Taste Receptor and Low-Molecular-Weight Sweet Compounds
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035380
Pubmed ID
Authors

Katsuyoshi Masuda, Ayako Koizumi, Ken-ichiro Nakajima, Takaharu Tanaka, Keiko Abe, Takumi Misaka, Masaji Ishiguro

Abstract

One of the most distinctive features of human sweet taste perception is its broad tuning to chemically diverse compounds ranging from low-molecular-weight sweeteners to sweet-tasting proteins. Many reports suggest that the human sweet taste receptor (hT1R2-hT1R3), a heteromeric complex composed of T1R2 and T1R3 subunits belonging to the class C G protein-coupled receptor family, has multiple binding sites for these sweeteners. However, it remains unclear how the same receptor recognizes such diverse structures. Here we aim to characterize the modes of binding between hT1R2-hT1R3 and low-molecular-weight sweet compounds by functional analysis of a series of site-directed mutants and by molecular modeling-based docking simulation at the binding pocket formed on the large extracellular amino-terminal domain (ATD) of hT1R2. We successfully determined the amino acid residues responsible for binding to sweeteners in the cleft of hT1R2 ATD. Our results suggest that individual ligands have sets of specific residues for binding in correspondence with the chemical structures and other residues responsible for interacting with multiple ligands.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Chile 1 <1%
France 1 <1%
Unknown 140 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 19%
Student > Ph. D. Student 24 17%
Student > Master 19 13%
Student > Bachelor 15 10%
Professor > Associate Professor 9 6%
Other 20 14%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 27%
Chemistry 24 17%
Biochemistry, Genetics and Molecular Biology 17 12%
Nursing and Health Professions 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 20 14%
Unknown 32 22%