The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing
Abstract
Atomistic simulations of protein folding have the potential to be a great complement to experimental studies, but have been severely limited by the time scales accessible with current computer hardware and algorithms. By employing a worldwide distributed computing network of tens of thousands of PCs and algorithms designed to efficiently utilize this new many‐processor, highly heterogeneous, loosely coupled distributed computing paradigm, we have been able to simulate hundreds of microseconds of atomistic molecular dynamics. This has allowed us to directly simulate the folding mechanism and to accurately predict the folding rate of several fast‐folding proteins and polymers, including a nonbiological helix, polypeptide α‐helices, a β‐hairpin, and a three‐helix bundle protein from the villin headpiece. Our results demonstrate that one can reach the time scales needed to simulate fast folding using distributed computing, and that potential sets used to describe interatomic interactions are sufficiently accurate to reach the folded state with experimentally validated rates, at least for small proteins. © 2002 Wiley Periodicals, Inc. Biopolymers 68: 91–109, 2003
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Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Funnels, pathways, and the energy landscape of protein folding: A synthesis
Bryngelson, J. D., Onuchic, J. N., Socci, N. D., & Wolynes, P. G. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340210302 · Cited by 2,648
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
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BOINC: A System for Public-Resource Computing and Storage
Anderson, D. P. (2005) · Fifth IEEE/ACM International Workshop on Grid Computing · doi:10.1109/grid.2004.14 · Cited by 1,924
Improved Peptide and Protein Torsional Energetics with the OPLS-AA Force Field
Robertson, M. J., Tirado-Rives, J., & Jorgensen, W. L. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00356 · Cited by 854
Shao, J., Tanner, S. W., Thompson, N., & Cheatham, T. E. (2007) · Journal of Chemical Theory and Computation · doi:10.1021/ct700119m · Cited by 832
The protein folding ‘speed limit’
Kubelka, J., Hofrichter, J., & Eaton, W. A. (2004) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2004.01.013 · Cited by 830
Anton, a special-purpose machine for molecular dynamics simulation
Shaw, D. E., Deneroff, M. M., Dror, R. O., Kuskin, J. S., Larson, R. H., Salmon, J. K., Young, C., Batson, B., Bowers, K. J., Chao, J. C., et al. (2008) · Communications of the ACM · doi:10.1145/1364782.1364802 · Cited by 817
Metadata
- Authors
- Pande, V. S., Baker, I., Chapman, J., Elmer, S. P., Khaliq, S., Larson, S. M., Rhee, Y. M., Shirts, M. R., Snow, C. D., Sorin, E. J., & Zagrovic, B.
- Venue
- Biopolymers
- Publisher
- Wiley
- Published
- 2002-12-02
- Volume
- 68
- Issue
- 1
- Pages
- 91-109
- ISSN
- 0006-3525 (ISSN-L)
- 1097-0282
- OpenAlex
- W2031092627
- Cited by
- 369
- References
- 3
- FWCI
- 7.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pande, V. S., Baker, I., Chapman, J., Elmer, S. P., Khaliq, S., Larson, S. M., Rhee, Y. M., Shirts, M. R., Snow, C. D., Sorin, E. J., & Zagrovic, B. (2003). Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing. Biopolymers. https://doi.org/10.1002/bip.10219
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