The DOI matches its Crossref record; 1,165 of the 1,165 references it cites were found in a registry or an index.
RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview
Open accessAbstract
With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are intimately linked to its structure and dynamics. Computer simulations, and in particular atomistic molecular dynamics (MD), allow structural dynamics of biomolecular systems to be investigated with unprecedented temporal and spatial resolution. We here provide a comprehensive overview of the fast-developing field of MD simulations of RNA molecules. We begin with an in-depth, evaluatory coverage of the most fundamental methodological challenges that set the basis for the future development of the field, in particular, the current developments and inherent physical limitations of the atomistic force fields and the recent advances in a broad spectrum of enhanced sampling methods. We also survey the closely related field of coarse-grained modeling of RNA systems. After dealing with the methodological aspects, we provide an exhaustive overview of the available RNA simulation literature, ranging from studies of the smallest RNA oligonucleotides to investigations of the entire ribosome. Our review encompasses tetranucleotides, tetraloops, a number of small RNA motifs, A-helix RNA, kissing-loop complexes, the TAR RNA element, the decoding center and other important regions of the ribosome, as well as assorted others systems. Extended sections are devoted to RNA-ion interactions, ribozymes, riboswitches, and protein/RNA complexes. Our overview is written for as broad of an audience as possible, aiming to provide a much-needed interdisciplinary bridge between computation and experiment, together with a perspective on the future of the field.
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Cites
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W., & Klein, M. L. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 41,298
Particle mesh Ewald: An N ⋅log( N ) method for Ewald sums in large systems
Darden, T., York, D., & Pedersen, L. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464397 · Cited by 30,546
Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX · doi:10.1016/j.softx.2015.06.001 · Cited by 27,190
Ryckaert, J.-P., Ciccotti, G., & Berendsen, H. J. C. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90098-5 · Cited by 21,239
Development and testing of a general amber force field
Wang, J., Wolf, R. M., Caldwell, J. W., Kollman, P. A., & Case, D. A. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20035 · Cited by 19,506
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
Quantum Mechanical Continuum Solvation Models
Tomasi, J., Mennucci, B., & Cammi, R. (2005) · Chemical Reviews · doi:10.1021/cr9904009 · Cited by 16,868
Mfold web server for nucleic acid folding and hybridization prediction
Zuker, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg595 · Cited by 13,404
Cited by
Biophysical experiments and biomolecular simulations: A perfect match?
Bottaro, S., & Lindorff-Larsen, K. (2018) · Science · doi:10.1126/science.aat4010 · Cited by 293
Self-citationPalermo, G., Chen, J. S., Ricci, C. G., Rivalta, I., Jinek, M., Batista, V. S., Doudna, J. A., & McCammon, J. A. (2018) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583518000070 · Cited by 123
Nithin, C., Ghosh, P., & Bujnicki, J. M. (2018) · Genes · doi:10.3390/genes9090432 · Cited by 48
Leonarski, F., D'Ascenzo, L., & Auffinger, P. (2019) · RNA · doi:10.1261/rna.068437.118 · Cited by 39
Ballabio, F., Paissoni, C., Bollati, M., de Rosa, M., Capelli, R., & Camilloni, C. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00864 · Cited by 23
Metadata
- Authors
- Šponer, J., Bussi, G., Krepl, M., Banáš, P., Bottaro, S., Cunha, R. A., Gil-Ley, A., Pinamonti, G., Poblete, S., Jurečka, P., Walter, N. G., & Otyepka, M.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-01-03
- Volume
- 118
- Issue
- 8
- Pages
- 4177-4338
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2782369838
- Cited by
- 599
- References
- 1,165
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Šponer, J., Bussi, G., Krepl, M., Banáš, P., Bottaro, S., Cunha, R. A., Gil-Ley, A., Pinamonti, G., Poblete, S., Jurečka, P., Walter, N. G., & Otyepka, M. (2018). RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.7b00427
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