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All‐atom structural models of insulin binding to the insulin receptor in the presence of a tandem hormone‐binding element

Overview of attention for article published in Proteins: Structure, Function, and Bioinformatics, February 2013
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Article details
Title
All‐atom structural models of insulin binding to the insulin receptor in the presence of a tandem hormone‐binding element
Published in
Proteins: Structure, Function, and Bioinformatics, February 2013
DOI 10.1002/prot.24255
Pubmed ID
Authors
Abstract

Insulin regulates blood glucose levels in higher organisms by binding to and activating insulin receptor (IR), a constitutively homodimeric glycoprotein of the receptor tyrosine kinase (RTK) superfamily. Therapeutic efforts in treating diabetes have been significantly impeded by the absence of structural information on the activated form of the insulin/IR complex. Mutagenesis and photo-crosslinking experiments and structural information on insulin and apo-IR strongly suggest that the dual-chain insulin molecule, unlike the related single-chain insulin-like growth factors, binds to IR in a very different conformation than what is displayed in storage forms of the hormone. In particular, hydrophobic residues buried in the core of the folded insulin molecule engage the receptor. There is also the possibility of plasticity in the receptor structure based on these data, which may in part be due to rearrangement of the so-called CT-peptide, a tandem hormone-binding element of IR. These possibilities provide opportunity for large-scale molecular modeling to contribute to our understanding of this system. Using various atomistic simulation approaches, we have constructed all-atom structural models of hormone/receptor complexes in the presence of CT in its crystallographic position and a thermodynamically favorable displaced position. In the "displaced-CT" complex, many more insulin-receptor contacts suggested by experiments are satisfied, and our simulations also suggest that R-insulin potentially represents the receptor-bound form of hormone. The results presented in this work have further implications for the design of receptor-specific agonists/antagonists.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Korea, Republic of 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Researcher 6 18%
Student > Master 4 12%
Professor 3 9%
Other 2 6%
Other 5 15%
Unknown 4 12%
Readers by discipline
Readers by discipline Count As %
Chemistry 8 24%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 5 15%
Medicine and Dentistry 4 12%
Chemical Engineering 2 6%
Other 4 12%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2013.
All research outputs
#22,373,172
of 27,374,586 outputs
Outputs from Proteins: Structure, Function, and Bioinformatics
#2,836
of 3,420 outputs
Outputs of similar age
#164,468
of 210,499 outputs
Outputs of similar age from Proteins: Structure, Function, and Bioinformatics
#23
of 40 outputs
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So far Altmetric has tracked 3,420 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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