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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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Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Czechia 1 1%
Germany 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 12 18%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Doctoral Student 6 9%
Other 11 16%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 28%
Chemistry 18 27%
Agricultural and Biological Sciences 14 21%
Immunology and Microbiology 1 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 2 3%
Unknown 12 18%