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Combining Free Energy Simulations and NMR Chemical-Shift Perturbation To Identify Transient Cation−π Contacts in Proteins
Author(s) -
André A. O. Reis,
Raphael Santa Rosa Sayegh,
Sandro R. Marana,
Guilherme M. Arantes
Publication year - 2019
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.9b00859
Subject(s) - chemistry , molecular dynamics , nuclear magnetic resonance spectroscopy , chemical shift , intramolecular force , protein structure , chemical physics , computational chemistry , stereochemistry , biochemistry
Flexible protein regions containing cationic and aromatic side-chains exposed to solvent may form transient cation-π interactions with structural and functional roles. To evaluate their stability and identify important intramolecular cation-π contacts, a combination of free energy profiles estimated from umbrella sampling with molecular dynamics simulations and chemical shift perturbations (CSP) obtained from nuclear magnetic resonance (NMR) experiments is applied here to the complete catalytic domain of human phosphatase Cdc25B. This protein is a good model system for transient cation-π interactions as it contains only one Trp residue (W550) in the disordered C-terminal segment and a total of 17 Arg residues, many exposed to solvent. Eight putative Arg-Trp pairs were simulated here. Only R482 and R544 show bound profiles corresponding to important transient cation-π interactions, while the others have dissociative or almost flat profiles. These results are corroborated by CSP analysis of three Cdc25B point mutants (W550A, R482A, and R544A) disrupting cation-π contacts. The proposed validation of statistically representative molecular simulations by NMR spectroscopy could be applied to identify transient contacts of proteins in general but carefully, as NMR chemical shifts are sensitive to changes in both molecular contacts and conformational distributions.

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