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

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 interact...

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Autores principales: Wimmerová, Michaela, Kozmon, Stanislav, Nečasová, Ivona, Mishra, Sushil Kumar, Komárek, Jan, Koča, Jaroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466270/
https://www.ncbi.nlm.nih.gov/pubmed/23056230
http://dx.doi.org/10.1371/journal.pone.0046032
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author Wimmerová, Michaela
Kozmon, Stanislav
Nečasová, Ivona
Mishra, Sushil Kumar
Komárek, Jan
Koča, Jaroslav
author_facet Wimmerová, Michaela
Kozmon, Stanislav
Nečasová, Ivona
Mishra, Sushil Kumar
Komárek, Jan
Koča, Jaroslav
author_sort Wimmerová, Michaela
collection PubMed
description 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.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.mol(−1), excluding the alanine mutant where the interaction energy was −0.9 kcal.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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spelling pubmed-34662702012-10-10 Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods Wimmerová, Michaela Kozmon, Stanislav Nečasová, Ivona Mishra, Sushil Kumar Komárek, Jan Koča, Jaroslav PLoS One Research Article 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.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.mol(−1), excluding the alanine mutant where the interaction energy was −0.9 kcal.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. Public Library of Science 2012-10-08 /pmc/articles/PMC3466270/ /pubmed/23056230 http://dx.doi.org/10.1371/journal.pone.0046032 Text en © 2012 Wimmerová et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wimmerová, Michaela
Kozmon, Stanislav
Nečasová, Ivona
Mishra, Sushil Kumar
Komárek, Jan
Koča, Jaroslav
Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title_full Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title_fullStr Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title_full_unstemmed Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title_short Stacking Interactions between Carbohydrate and Protein Quantified by Combination of Theoretical and Experimental Methods
title_sort stacking interactions between carbohydrate and protein quantified by combination of theoretical and experimental methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466270/
https://www.ncbi.nlm.nih.gov/pubmed/23056230
http://dx.doi.org/10.1371/journal.pone.0046032
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