Back to Search Start Over

Understanding the relationship between preferential interactions of peptides in water-acetonitrile mixtures with protein-solvent contact surface area.

Authors :
Phougat M
Sahni NS
Choudhury D
Source :
Journal of computer-aided molecular design [J Comput Aided Mol Des] 2024 Nov 13; Vol. 38 (1), pp. 38. Date of Electronic Publication: 2024 Nov 13.
Publication Year :
2024

Abstract

The influence of polar, water-miscible organic solvents (POS) on protein structure, stability, and functional activity is a subject of significant interest and complexity. This study examines the effects of acetonitrile (ACN), a semipolar, aprotic solvent, on the solvation properties of blocked Ace-Gly-X-Gly-Nme tripeptides (where Ace and Nme stands for acetyl and N-methyl amide groups respectively and X is any amino acid) through extensive molecular dynamics simulations. Individual simulations were conducted for each peptide, encompassing five different ACN concentrations within the range of χ <subscript>ACN</subscript>  = 0.1-0.9. The preferential solvation parameter (Γ) calculated using the Kirkwood-Buff integral method was used for the assessment of peptide interactions with water/ACN. Additionally, weighted Voronoi tessellation was applied to obtain a three-way data set containing four time-averaged contact surface area types between peptide atoms and water/ACN atoms. A mathematical technique known as N-way Partial Least Squares (NPLS) was utilized to anticipate the preferential interactions between peptides and water/ACN from the contact surface areas. Furthermore, the temperature dependency of peptide-solvent interactions was investigated using a subset of 10 amino acids representing a range of hydrophobicities. MD simulations were conducted at five temperatures, spanning from 283 to 343 K, with subsequent analysis of data focusing on both preferential solvation and peptide-solvent contact surface areas. The results demonstrate the efficacy of utilizing contact surface areas between the peptide and solvent constituents for successfully predicting preferential interactions in water/ACN mixtures across various ACN concentrations and temperatures.<br />Competing Interests: Declarations Competing interests The authors declare no competing interests. Ethical approval Not applicable. Consent for publication The authors give their consent for this manuscript to be published.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Details

Language :
English
ISSN :
1573-4951
Volume :
38
Issue :
1
Database :
MEDLINE
Journal :
Journal of computer-aided molecular design
Publication Type :
Academic Journal
Accession number :
39537830
Full Text :
https://doi.org/10.1007/s10822-024-00579-9