Literature DB >> 32268187

Carbohydrate - Protein aromatic ring interactions beyond CH/π interactions: A Protein Data Bank survey and quantum chemical calculations.

Ivana M Stanković1, Jelena P Blagojević Filipović2, Snežana D Zarić3.   

Abstract

The geometries of the contacts between monosaccharides and aromatic rings of amino acids found in X-ray crystallography structures, in the Protein Data Bank (PDB), were analyzed, while the energies of the interactions were calculated using quantum chemical method. We found 1913 sugar/aromatic ring contacts, 1054 of them (55%) with CH/π interactions and 859 of them (45%) without CH/π interactions. We showed that only the carbohydrate/aromatic contacts with CH/π interactions are preferentially parallel and enable sliding in the plane parallel to aromatic ring. The calculated interaction energies in systems with CH/π interactions are in the range from -1.7 kcal/mol to -6.8 kcal/mol, while in the systems without CH/π interactions are in the range -0.2 to -3.2 kcal/mol. Hence, the binding that does not include CH/π interactions, can also be important for aromatic amino acid and carbohydrate binding processes, since some of these interactions can be as strong as the CH/π interactions. At the same time, these interactions can be weak enough to enable releasing of small carbohydrate fragments after the enzymatic reaction. The analysis of the protein-substrate patterns showed that every second or third carbohydrate unit in long substrates stacks with protein aromatic amino acids.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Aromatic amino acids; CH/π interactions; Carbohydrates; Stacking interactions

Mesh:

Substances:

Year:  2020        PMID: 32268187     DOI: 10.1016/j.ijbiomac.2020.03.251

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  4 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-08       Impact factor: 12.779

2.  Development and Evaluation of GlycanDock: A Protein-Glycoligand Docking Refinement Algorithm in Rosetta.

Authors:  Morgan L Nance; Jason W Labonte; Jared Adolf-Bryfogle; Jeffrey J Gray
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3.  Prebiotic Peptides Based on the Glycocodon Theory Analyzed with FRET.

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Journal:  Life (Basel)       Date:  2021-04-23

Review 4.  Three-Dimensional Structures of Carbohydrates and Where to Find Them.

Authors:  Sofya I Scherbinina; Philip V Toukach
Journal:  Int J Mol Sci       Date:  2020-10-18       Impact factor: 5.923

  4 in total

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