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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Molecular Interpretation of Preferential Interactions in Protein Solvation: A Solvent-Shell Perspective by Means of Minimum-Distance Distribution Functions

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Author(s):
Martinez, Leandro [1, 2] ; Shimizu, Seishi [3]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, Inst Chem, BR-13083970 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Ctr Computat Engn & Sci, BR-13083970 Campinas, SP - Brazil
[3] Univ York, Dept Chem, York Struct Biol Lab, York YO10 5DD, N Yorkshire - England
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF CHEMICAL THEORY AND COMPUTATION; v. 13, n. 12, p. 6358-6372, DEC 2017.
Web of Science Citations: 5
Abstract

Preferential solvation is a fundamental parameter for the interpretation of solubility and solute structural stability. The molecular basis for solute-solvent interactions can be obtained through distribution functions, and the thermodynamic connection to experimental data depends on the computation of distribution integrals, specifically Kirk-wood-Buff integrals for the determination of preferential interactions. Standard radial distribution functions, however, are not convenient for the study of the solvation of complex, nonspherical solutes, as proteins. Here we show that minimum-distance distribution functions can be used to compute KB integrals while at the same time providing an insightful view of solute-solvent interactions at the molecular level. We compute preferential solvation parameters for Ribonuclease T1 in aqueous solutions of urea and trimethylamine N-oxide (TMAO) and show that, while macroscopic solvation shows that urea is preferentially bound to the protein surface and TMAO is preferentially excluded, both display specific density augmentations at the protein surface in dilute solutions. Therefore, direct protein-osmolyte interactions can play a role in the stability and activity of the protein even for preferentially hydrated systems. The generality of the distribution function and its natural connection to thermodynamic data suggest that it will be useful in general for the study of solvation in mixtures of structurally complex solutes and solvents. (AU)

FAPESP's process: 13/05475-7 - Computational methods in optimization
Grantee:Sandra Augusta Santos
Support type: Research Projects - Thematic Grants
FAPESP's process: 10/16947-9 - Correlations between dynamics, structure and function in protein: computer simulations and algorithms
Grantee:Leandro Martinez
Support type: Regular Research Grants
FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC