The N-terminal SH3 domain of the Drosophila adapter protein Drk (drkN SH3 domain) is marginally stable (DeltaG(U) = 1 kcal/mol) and exists in equilibrium between folded and highly populated unfolded states. The single substitution T22G, however, completely stabilizes the protein (DeltaG(U) = 4.0 kcal/mol). To probe the causes of instability of the wild-type (WT) protein and the dramatic stabilization of the mutant, we determined and compared nuclear magnetic resonance structures of the folded WT and mutant drkN SH3 domains. Residual dipolar coupling (RDC) and carbonyl chemical-shift anisotropy (C'-CSA) restraints measured for the WT and T22G domains were used for calculating the structures. The structures for the WT and mutant are highly similar. Thr22 of the WT and Gly22 of the mutant are at the i + 2 position of the diverging, type-II beta-turn. Interestingly, not only Gly22 but also Thr22 successfully adopt an alpha(L) conformation, required at this position of the turn, despite the fact that positive phi values are energetically unfavorable and normally disallowed for threonine residues. Forcing the Thr22 residue into this unnatural conformation increases the free energy of the folded state of the WT domain relative to its T22G mutant. Evidence for residual helix formation in the diverging turn region has been previously reported for the unfolded state of the WT drkN SH3 domain, and this, in addition to other residual structure, has been proposed to play a role in decreasing the free energy of the unfolded state of the protein. Together these data provide evidence that both increasing the free energy of the folded state and decreasing the free energy of the unfolded state of the protein contribute to instability of the WT drkN SH3 domain.
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http://dx.doi.org/10.1021/bi0512795 | DOI Listing |
J Am Chem Soc
November 2022
Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States.
Solvent paramagnetic relaxation enhancement (sPRE) arising from nitroxide-based cosolutes has recently been used to provide an atomic view of cosolute-induced protein denaturation and to characterize residue-specific effective near-surface electrostatic potentials (ϕ). Here, we explore distinct properties of the sPRE arising from nitroxide-based cosolutes and provide new insights into the interpretation of the sPRE and sPRE-derived ϕ. We show that: (a) the longitudinal sPRE rate Γ is heavily dependent on spectrometer field and viscosity, while the transverse sPRE rate Γ is much less so; (b) the spectral density (0) is proportional to the inverse of the relative translational diffusion constant and is related to the quantity ⟨⟩, a concentration-normalized equilibrium average of the electron-proton interspin separation; and (c) attractive intermolecular interactions result in a shortening of the residue-specific effective correlation time for the electron-proton vector.
View Article and Find Full Text PDFJ Phys Chem Lett
November 2022
Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan48824, United States.
Transient protein-protein interactions occur frequently under the crowded conditions encountered in biological environments. Tryptophan-cysteine quenching is introduced as an experimental approach with minimal labeling for characterizing such interactions between proteins due to its sensitivity to nano- to microsecond dynamics on subnanometer length scales. The experiments are paired with computational modeling at different resolutions including fully atomistic molecular dynamics simulations for interpretation of the experimental observables and to gain molecular-level insights.
View Article and Find Full Text PDFJ Phys Chem B
August 2022
Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106, United States.
Most biological events occur on time scales that are difficult to access using conventional all-atom molecular dynamics simulations in explicit solvent. Implicit solvent techniques offer a promising solution to this problem, alleviating the computational cost associated with the simulation of large systems and accelerating the sampling compared to explicit solvent models. The substitution of water molecules by a mean field, however, introduces simplifications that may penalize accuracy and impede the prediction of certain physical properties.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
April 2022
Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
J Phys Chem B
March 2022
Pitzer Center for Theoretical Chemistry, University of California, Berkeley, California 94720, United States.
Intrinsically disordered proteins and unfolded proteins have fluctuating conformational ensembles that are fundamental to their biological function and impact protein folding, stability, and misfolding. Despite the importance of protein dynamics and conformational sampling, time-dependent data types are not fully exploited when defining and refining disordered protein ensembles. Here we introduce a computational framework using an elastic network model and normal-mode displacements to generate a dynamic disordered ensemble consistent with NMR-derived dynamics parameters, including transverse relaxation rates and Lipari-Szabo order parameters ( values).
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