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Article

Molecular Determinants for Guanine Binding in GTP-Binding Proteins: A Data Mining and Quantum Chemical Study

by
Pawan Bhatta
and
Xiche Hu
*
Department of Chemistry and Biochemistry, University of Toledo, Toledo, OH 43606, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(22), 12449; https://doi.org/10.3390/ijms252212449
Submission received: 1 November 2024 / Revised: 15 November 2024 / Accepted: 18 November 2024 / Published: 20 November 2024
(This article belongs to the Special Issue Latest Advances in Protein-Ligand Interactions)

Abstract

GTP-binding proteins are essential molecular switches that regulate a wide range of cellular processes. Their function relies on the specific recognition and binding of guanine within their binding pockets. This study aims to elucidate the molecular determinants underlying this recognition. A large-scale data mining of the Protein Data Bank yielded 298 GTP-binding protein complexes, which provided a structural foundation for a systematic analysis of the intermolecular interactions that are responsible for the molecular recognition of guanine in proteins. It was found that multiple modes of non-bonded interactions including hydrogen bonding, cation–π interactions, and π–π stacking interactions are employed by GTP-binding proteins for binding. Subsequently, the strengths of non-bonded interaction energies between guanine and its surrounding protein residues were quantified by means of the double-hybrid DFT method B2PLYP-D3/cc-pVDZ. Hydrogen bonds, particularly those involving the N2 and O6 atoms of guanine, confer specificity to guanine recognition. Cation–π interactions between the guanine ring and basic residues (Lys and Arg) provide significant electrostatic stabilization. π–π stacking interactions with aromatic residues (Phe, Tyr, and Trp) further contribute to the overall binding affinity. This synergistic interplay of multiple interaction modes enables GTP-binding proteins to achieve high specificity and stability in guanine recognition, ultimately underpinning their crucial roles in cellular signaling and regulation. Notably, the NKXD motif, while historically considered crucial for guanine binding in GTP-binding proteins, is not universally required. Our study revealed significant variability in hydrogen bonding patterns, with many proteins lacking the NKXD motif but still effectively binding guanine through alternative arrangements of interacting residues.
Keywords: molecular recognition; quantum mechanics; G protein; GTP-binding protein; π–π stacking interactions; cation–π interaction; hydrogen bond molecular recognition; quantum mechanics; G protein; GTP-binding protein; π–π stacking interactions; cation–π interaction; hydrogen bond
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MDPI and ACS Style

Bhatta, P.; Hu, X. Molecular Determinants for Guanine Binding in GTP-Binding Proteins: A Data Mining and Quantum Chemical Study. Int. J. Mol. Sci. 2024, 25, 12449. https://doi.org/10.3390/ijms252212449

AMA Style

Bhatta P, Hu X. Molecular Determinants for Guanine Binding in GTP-Binding Proteins: A Data Mining and Quantum Chemical Study. International Journal of Molecular Sciences. 2024; 25(22):12449. https://doi.org/10.3390/ijms252212449

Chicago/Turabian Style

Bhatta, Pawan, and Xiche Hu. 2024. "Molecular Determinants for Guanine Binding in GTP-Binding Proteins: A Data Mining and Quantum Chemical Study" International Journal of Molecular Sciences 25, no. 22: 12449. https://doi.org/10.3390/ijms252212449

APA Style

Bhatta, P., & Hu, X. (2024). Molecular Determinants for Guanine Binding in GTP-Binding Proteins: A Data Mining and Quantum Chemical Study. International Journal of Molecular Sciences, 25(22), 12449. https://doi.org/10.3390/ijms252212449

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