a 2021

The analysis of CH–π interaction in protein–carbohydrate binding

HOUSER, Josef, Stanislav KOZMON, Deepti MISHRA, Zuzana HAMMEROVÁ, Michaela WIMMEROVÁ et. al.

Basic information

Original name

The analysis of CH–π interaction in protein–carbohydrate binding

Authors

HOUSER, Josef (203 Czech Republic, belonging to the institution), Stanislav KOZMON (703 Slovakia, belonging to the institution), Deepti MISHRA (356 India, belonging to the institution), Zuzana HAMMEROVÁ (203 Czech Republic, belonging to the institution), Michaela WIMMEROVÁ (203 Czech Republic, guarantor, belonging to the institution) and Jaroslav KOČA (203 Czech Republic, belonging to the institution)

Edition

25th IUCr Congress, 2021

Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

10608 Biochemistry and molecular biology

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 2.331

RIV identification code

RIV/00216224:14740/21:00129957

Organization unit

Central European Institute of Technology

ISSN

Keywords in English

CH-π interactions; protein-carbohydrate binding; bioinformatics; aromatic amino acids

Tags

Změněno: 4/4/2024 20:45, Mgr. Eva Dubská

Abstract

V originále

The molecular recognition of carbohydrates by proteins plays a key role in many biological processes including immune response, pathogen entry into a cell and cell-cell adhesion (e.g., in cancer metastasis). Carbohydrates interact with proteins mainly through hydrogen bonding, metal-ion-mediated interaction and non-polar dispersion interactions. The role of dispersion-driven CH-π interactions (stacking) in protein-carbohydrate recognition has been underestimated for a long time considering the polar interactions to be the main forces for saccharide interactions. However, over the last few years it turns out that non-polar interactions are equally important. Using the Protein Data Bank (PDB) structural data, we analyzed the CH-π interactions employing bioinformatics (data mining, structural analysis), several experimental (ITC, X-ray crystallography) and computational techniques. Within 12 000 protein complexes with carbohydrates from PDB, the stacking interactions were found in about 39% of them. The calculations and the ITC measurement results suggest that the CH-π stacking contribution to the overall binding energy ranges from 4 kcal/mol up to 8 kcal/mol. All the results show that the stacking CH-π interactions in protein-carbohydrate complexes can be considered to be a driving force of the binding in such complexes.

In Czech

Rozpoznávání sacharidů proteiny na molekulární úrovni je klíčovou součástí mnoha biologických procesů včetně imunitní odpovědi, interakce patogenů s hostitelskou buňkou a buněčné adheze. S využitím dat z databáze PDB jsme s využitím bioinformatiky, experimentálních a výpočetních přístupů analyzovali zapojení CH-π interakcí od těchto procesů.

Links

EF16_013/0001776, research and development project
Name: Česká infrastruktura pro integrativní strukturní biologii pro lidské zdraví
GA18-18964S, research and development project
Name: Lektiny a jejich úloha v interakci patogen/hostitel a buněčném rozpoznávání
Investor: Czech Science Foundation
LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR