2015
DOI: 10.1021/acs.jctc.5b00778
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Empirical Optimization of Interactions between Proteins and Chemical Denaturants in Molecular Simulations

Abstract: Chemical denaturants are the most commonly used perturbation applied to study protein stability and folding kinetics, as well as the properties of unfolded polypeptides. We build on recent work balancing the interactions of proteins and water, and accurate models for the solution properties of urea and guanidinium chloride, to develop a combined force field which is able to capture the strength of interactions between proteins and denaturants. We use solubility data for a model tetraglycine peptide in each den… Show more

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Cited by 24 publications
(32 citation statements)
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“…Such extensive trajectories, while still posing a challenge for the large systems considered, are the minimum necessary to obtain a representative sampling, given that the experimental reconfiguration times of unfolded and disordered proteins are typically of the order of 0.05–0.1 µs 17, 7577 . We use force field models for protein, urea and water which we have recently parameterized to reproduce the balance of interactions between the protein, water, and denaturant components of the system 44, 55 . We note that using such a force field is essential, because recent work has shown that most existing force fields result in too collapsed conformations of proteins even in the absence of denaturant 7879 , with several suggested corrections proposed 55, 8081 .…”
Section: Resultsmentioning
confidence: 99%
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“…Such extensive trajectories, while still posing a challenge for the large systems considered, are the minimum necessary to obtain a representative sampling, given that the experimental reconfiguration times of unfolded and disordered proteins are typically of the order of 0.05–0.1 µs 17, 7577 . We use force field models for protein, urea and water which we have recently parameterized to reproduce the balance of interactions between the protein, water, and denaturant components of the system 44, 55 . We note that using such a force field is essential, because recent work has shown that most existing force fields result in too collapsed conformations of proteins even in the absence of denaturant 7879 , with several suggested corrections proposed 55, 8081 .…”
Section: Resultsmentioning
confidence: 99%
“…A high local density of water dipoles helps to solvate the charged side-chains, and indeed we observe a very large first peak in the water g(r) around Asp, relative to Asn (Figure S4): This higher water density is a manifestation of the well-known electrostriction effect of ions. Since there are no residues with aromatic side chains in ACTR, yet these usually have the most favorable water-urea transfer free energies in experiment 95 , we have calculated the preferential interaction coefficients of the unfolded Trp cage mini protein using published simulations with the same force field in 3M urea 44 (Figure S5). We find qualitatively that Trp and Tyr have much larger preferential interaction coefficients and therefore more favorable transfer free energy in Trp cage, consistent with experiment.…”
Section: Resultsmentioning
confidence: 99%
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“…A full list of the simulations and proteins used is given in Table S1, with details in Supporting methods. These force fields have been specifically developed with the aim of accurately representing ensembles of unfolded and disordered proteins, and have been validated in several independent studies 36,59,63,66,67 . We therefore believe that these simulations generate more realistic conformational ensembles of unfolded/intrinsically disordered proteins than most other explicit solvent force fields, which typically yield structures that are too collapsed 68 .…”
mentioning
confidence: 99%
“…Triggered primarily by the increasing interest in IDPs, recent developments have changed this situation considerably. 7,11,12,[102][103][104][105][106] Another important development has been the use of experimental restraints, where a simulated conformational ensemble is biased or reweighted based on experimental information, taking into account the uncertainties of the measurements. 85,[107][108][109] These developments have started to enable a more and more realistic and detailed view of unfolded proteins.…”
Section: Clues From Molecular Simulationsmentioning
confidence: 99%