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Insight into the interaction between amino acids and SO2: Detailed bonding modes.
- Source :
-
Journal of Molecular Modeling . Aug2024, Vol. 30 Issue 8, p1-15. 15p. - Publication Year :
- 2024
-
Abstract
- Context: Amino acids are a highly effective and environmentally friendly adsorbent for SO2. However, there has been no comprehensive study of the binding modes between amino acids and SO2 at the molecular level. In this paper, the binding modes of three amino acids (Asp, Lys, and Val) with SO2 are studied comprehensively and in detail using quantum chemical calculations. The results indicate that each amino acid has multiple binding modes: 22 for Asp, 49 for Lys, and 10 for Val. Both the amino and carboxyl groups in amino acids, as well as those in side chains, can serve as binding sites for chalcogen bonds. The binding energies range from − 6.42 to − 1.06 kcal/mol for Asp, − 12.43 to − 1.63 kcal/mol for Lys, and − 7.42 to − 0.60 kcal/mol for Val. Chalcogen and hydrogen bonds play a crucial role in the stronger binding modes. The chalcogen bond is the strongest when interacting with an amino group, with an adiabatic force constant of 0.475 mDyn/Å. Energy decomposition analysis indicates that the interaction is primarily electrostatic attraction, with the orbital and dispersive interactions dependent on the binding mode. Methods: Amino acids and complexes of amino acids with SO2 were used to do semi-empirical MD using Molclus combined with xtb at the GFN2 level. Optimization and frequency calculations of the structures were conducted using density-functional theory (DFT) B3LYP/6-311G* (with DFT-D3 correction). Single-point energy calculations were performed for all structures using DLPNO-CCSD(T)/aug-cc-pVTZ with tightPNO. Further analysis of the structures was conducted using ESP, AIM, IGMH, and sob-EDA to gain a deeper understanding of the interactions between amino acids and SO2. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16102940
- Volume :
- 30
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Molecular Modeling
- Publication Type :
- Academic Journal
- Accession number :
- 179067396
- Full Text :
- https://doi.org/10.1007/s00894-024-06083-z