Interactions of carbohydrate and aromatic amino acid in protein binding sites
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00108110" target="_blank" >RIV/00216224:14740/19:00108110 - isvavai.cz</a>
Result on the web
<a href="https://2019.febscongress.org/abstract_preview.aspx?idAbstractEnc=4424170094094098097096424170" target="_blank" >https://2019.febscongress.org/abstract_preview.aspx?idAbstractEnc=4424170094094098097096424170</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Interactions of carbohydrate and aromatic amino acid in protein binding sites
Original language description
Interactions of saccharides with receptors belong to the most important ones in cell recognition, growth or differentiation, as well as in many pathological processes. These interactions are mediated by so-called glycocode – saccharide code which is read by many proteins. There are several ways how saccharides interact with proteins; hydrogen bridges, metal-ion mediated interaction, hydrophobic interaction etc. CH-pi stacking, dispersion driven interaction has been underestimated for a long time. However, we found out that it is a highly important interaction in carbohydrate-protein complexes. In our computational structure-based study we examined structures stored in Protein Data Bank (PDB) database with focuse on the complexes with carbohydrates in close proximity of aromatic amino acid (tryptophan, tyrosine, phenylalanine, and histidine). We detected CH-pi stacking interaction being involved in sugar binding in 61 % of these complexes. Each aromatic amino acid showed a unique CH-pi stacking pattern, demonstrated by a characteristic orientation, bond distances, and bond angles between the carbohydrate and a particular amino acid. Besides CH-pi stacking interaction, we detected also hydrogen bridges and compare the frequencies of these two types of carbohydrate-protein interaction. These results provide insight into the importance of CH-pi stacking in carbohydrate-protein interactions and may help in drug development, receptor studies or protein engineering.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10400 - Chemical sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů