The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Trp-cage: Folding free energy landscape in explicit water
Open accessAbstract
Trp-cage is a 20-residue miniprotein, which is believed to be the fastest folder known so far. In this study, the folding free energy landscape of Trp-cage has been explored in explicit solvent by using an OPLSAA force field with periodic boundary condition. A highly parallel replica exchange molecular dynamics method is used for the conformation space sampling, with the help of a recently developed efficient molecular dynamics algorithm P3ME/RESPA (particle–particle particle–mesh Ewald/reference system propagator algorithm). A two-step folding mechanism is proposed that involves an intermediate state where two correctly formed partial hydrophobic cores are separated by an essential salt-bridge between residues Asp-9 and Arg-16 near the center of the peptide. This metastable intermediate state provides an explanation for the superfast folding process. The free energy landscape is found to be rugged at low temperatures, and then becomes smooth and funnel-like above 340 K. The lowest free energy structure at 300 K is only 1.50 Å C α -RMSD (C α -rms deviation) from the NMR structures. The simulated nuclear Overhauser effect pair distances are in excellent agreement with the raw NMR data. The temperature dependence of the Trp-cage population, however, is found to be significantly different from experiment, with a much higher melting transition temperature above 400 K (experimental 315 K), indicating that the current force fields, parameterized at room temperature, need to be improved to correctly predict the temperature dependence.
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Cites
Replica-exchange molecular dynamics method for protein folding
Sugita, Y., & Okamoto, Y. (1999) · Chemical Physics Letters · doi:10.1016/s0009-2614(99)01123-9 · Cited by 4,514
Semianalytical treatment of solvation for molecular mechanics and dynamics
Still, W. C., Tempczyk, A., Hawley, R. C., & Hendrickson, T. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00172a038 · Cited by 3,643
Optimized Monte Carlo data analysis
Ferrenberg, A. M., & Swendsen, R. H. (1989) · Physical Review Letters · doi:10.1103/physrevlett.63.1195 · Cited by 2,590
Exchange Monte Carlo Method and Application to Spin Glass Simulations
Hukushima, K., & Nemoto, K. (1996) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.65.1604 · Cited by 2,475
From Levinthal to pathways to funnels
Dill, K. A., & Chan, H. S. (1997) · Nature Structural & Molecular Biology · doi:10.1038/nsb0197-10 · Cited by 2,293
Folding dynamics and mechanism of β-hairpin formation
Muñoz, V., Thompson, P. A., Hofrichter, J., & Eaton, W. A. (1997) · Nature · doi:10.1038/36626 · Cited by 929
Designing a 20-residue protein
Neidigh, J. W., Fesinmeyer, R. M., & Andersen, N. H. (2002) · Nature Structural Biology · doi:10.1038/nsb798 · Cited by 793
Large-amplitude nonlinear motions in proteins
García, A. E. (1992) · Physical Review Letters · doi:10.1103/physrevlett.68.2696 · Cited by 787
Absolute comparison of simulated and experimental protein-folding dynamics
Snow, C. D., Nguyen, H., Pande, V. S., & Gruebele, M. (2002) · Nature · doi:10.1038/nature01160 · Cited by 701
All-Atom Structure Prediction and Folding Simulations of a Stable Protein
Simmerling, C., Strockbine, B., & Roitberg, A. E. (2002) · Journal of the American Chemical Society · doi:10.1021/ja0273851 · Cited by 589
Cited by
Parallel tempering: Theory, applications, and new perspectives
Earl, D. J., & Deem, M. W. (2005) · Physical Chemistry Chemical Physics · doi:10.1039/b509983h · Cited by 1,313
Deng, N.-J., Dai, W., & Levy, R. M. (2013) · The Journal of Physical Chemistry B · doi:10.1021/jp401962k · Cited by 64
Metadata
- Authors
- Zhou, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-10-27
- Volume
- 100
- Issue
- 23
- Pages
- 13280-13285
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2159923313
- Cited by
- 363
- References
- 28
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- green
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