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Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods

Overview of attention for article published in PLOS ONE, October 2012
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Title
Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046032
Pubmed ID
Authors

Michaela Wimmerová, Stanislav Kozmon, Ivona Nečasová, Sushil Kumar Mishra, Jan Komárek, Jaroslav Koča

Abstract

Carbohydrate-receptor interactions are an integral part of biological events. They play an important role in many cellular processes, such as cell-cell adhesion, cell differentiation and in-cell signaling. Carbohydrates can interact with a receptor by using several types of intermolecular interactions. One of the most important is the interaction of a carbohydrate's apolar part with aromatic amino acid residues, known as dispersion interaction or CH/π interaction. In the study presented here, we attempted for the first time to quantify how the CH/π interaction contributes to a more general carbohydrate-protein interaction. We used a combined experimental approach, creating single and double point mutants with high level computational methods, and applied both to Ralstonia solanacearum (RSL) lectin complexes with α-L-Me-fucoside. Experimentally measured binding affinities were compared with computed carbohydrate-aromatic amino acid residue interaction energies. Experimental binding affinities for the RSL wild type, phenylalanine and alanine mutants were -8.5, -7.1 and -4.1 kcal x mol(-1), respectively. These affinities agree with the computed dispersion interaction energy between carbohydrate and aromatic amino acid residues for RSL wild type and phenylalanine, with values -8.8, -7.9 kcal x mol(-1), excluding the alanine mutant where the interaction energy was -0.9 kcal x mol(-1). Molecular dynamics simulations show that discrepancy can be caused by creation of a new hydrogen bond between the α-L-Me-fucoside and RSL. Observed results suggest that in this and similar cases the carbohydrate-receptor interaction can be driven mainly by a dispersion interaction.

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The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Czechia 1 1%
Germany 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 12 17%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Doctoral Student 6 9%
Other 14 20%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 30%
Chemistry 19 27%
Agricultural and Biological Sciences 14 20%
Immunology and Microbiology 1 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 2 3%
Unknown 12 17%
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 21 October 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from PLOS ONE
#129,937
of 193,651 outputs
Outputs of similar age
#108,402
of 172,974 outputs
Outputs of similar age from PLOS ONE
#2,906
of 4,664 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,664 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.