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

被引:0
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作者
Phougat, Monika [1 ]
Sahni, Narinder Singh [1 ]
Choudhury, Devapriya [1 ,2 ]
机构
[1] Jawaharlal Nehru Univ, Sch Computat & Integrat Sci, New Delhi 110067, India
[2] Jawaharlal Nehru Univ, Sch Biotechnol, New Delhi 110067, India
关键词
Kirkwood-Buff integrals; Preferential hydration; Preferential solvation; <italic>N</italic>-way Partial Least Squares; Molecular Dynamics simulation; Voronoi tessellation; Contact surface area; KIRKWOOD-BUFF THEORY; AMINO-ACIDS; SIDE-CHAIN; HYDRATION; STABILIZATION; COSOLVENTS; SIMULATION; STABILITY; HYDROPHOBICITY; DENATURATION;
D O I
10.1007/s10822-024-00579-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 chi ACN = 0.1-0.9. The preferential solvation parameter (Gamma) 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.
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页数:14
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