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Molecular Dynamics Approach for Capturing Calixarene–Protein Interactions: The Case of Cytochrome C
Author(s) -
Alessio Bartocci,
Natacha Gillet,
Tao Jiang,
Florence Szczepaniak,
Élise Dumont
Publication year - 2020
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.0c08482
Subject(s) - isothermal titration calorimetry , supramolecular chemistry , chemistry , molecular dynamics , protein data bank (rcsb pdb) , calixarene , hydrogen bond , crystallography , cytochrome , stereochemistry , computational chemistry , biophysics , molecule , crystal structure , biochemistry , organic chemistry , biology , enzyme
Functionalized supramolecular cages are of growing importance in biology and biochemistry. They have recently been proposed as efficient auxiliaries to obtain high-resolution cocrystallized proteins. Here, we propose a molecular dynamics investigation of the supramolecular association of sulfonated calix-[8]-arenes to cytochrome c starting from initially distant proteins and ligands. We characterize two main binding sites for the sulfonated calixarene on the cytochrome c surface which are in perfect agreement with the previous experiments with regard to the structure (comparison with the X-ray structure PDB 6GD8) and the binding free energies [comparison between the molecular mechanics Poisson-Boltzmann surface area analysis and the isothermal titration calorimetry measurements]. The per-residue decomposition of the interaction energies reveals the detailed picture of this electrostatically driven association and notably the role of arginine R13 as a bridging residue between the two main anchoring sites. In addition, the analysis of the residue behavior by means of a supervised machine learning protocol unveils the formation of a hydrogen bond network far from the binding sites, increasing the rigidity of the protein. This study paves the way toward an automated procedure to predict the supramolecular protein-cage association, with the possibility of a computational screening of new promising derivatives for controlled protein assembly and protein surface recognition processes.

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