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Calculating Structures and Free Energies of Complex Molecules: Combining Molecular Mechanics and Continuum Models
Abstract
A historical perspective on the application of molecular dynamics (MD) to biological macromolecules is presented. Recent developments combining state-of-the-art force fields with continuum solvation calculations have allowed us to reach the fourth era of MD applications in which one can often derive both accurate structure and accurate relative free energies from molecular dynamics trajectories. We illustrate such applications on nucleic acid duplexes, RNA hairpins, protein folding trajectories, and protein-ligand, protein-protein, and protein-nucleic acid interactions.
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“Methods such as MM-PBSA and MM-GBSA,46,47 which are based on molecular dynamics (MD) simulations, offer an alternative route for computing the binding free energies of protein–protein systems48−50 including coiled-coil complexes.42,51,52”
From Assessment of the Topology and Oligomerisation States of Coiled Coils Using Metadynamics with Conformational Restraints (2025) · cites this paper as [46]
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“Previous methods were limited either in terms of their throughput (21,22) or in terms of their performance (23).”
From mCSM-PPI2: predicting the effects of mutations on protein–protein interactions (2019) · cites this paper as [21]
Citations
Cites
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 29,638
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 16,088
A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Cornell, W. D., Cieplak, P., Bayly, C. I., Gould, I. R., Merz, K. M., Ferguson, D. M., Spellmeyer, D. C., Fox, T., Caldwell, J. W., & Kollman, P. A. (1995) · Journal of the American Chemical Society · doi:10.1021/ja00124a002 · Cited by 13,111
Self-citationAccurate Calculation of Hydration Free Energies Using Macroscopic Solvent Models
Sitkoff, D. F., Sharp, K. A., & Honig, B. H. (1994) · The Journal of Physical Chemistry · doi:10.1021/j100058a043 · Cited by 2,160
Free energy calculations: Applications to chemical and biochemical phenomena
Kollman, P. A. (1993) · Chemical Reviews · doi:10.1021/cr00023a004 · Cited by 2,101
Self-citationMcCammon, J., Gelin, B., & Karplus, M. (1977) · Nature · doi:10.1038/267585a0 · Cited by 1,972
Continuum Solvent Studies of the Stability of DNA, RNA, and Phosphoramidate−DNA Helices
Srinivasan, J., Cheatham, T. E., Cieplak, P., Kollman, P. A., & Case, D. A. (1998) · Journal of the American Chemical Society · doi:10.1021/ja981844+ · Cited by 1,634
Self-citationDuan, Y., & Kollman, P. A. (1998) · Science · doi:10.1126/science.282.5389.740 · Cited by 1,337
Self-citationOubridge, C., Ito, N., Evans, P. R., Teo, C.-H., & Nagai, K. (1994) · Nature · doi:10.1038/372432a0 · Cited by 832
Flagged first, then by citations
Research works printed but not linked: 29
- Postma J. P. M., 1982, Faraday Symp. Chem. Soc.
- Tembe B. L., 1984, Comput. Chem., 8, 283
- Jorgensen W. L., 1985, J. Chem. Phys., 83, 3054
- Cheatham T. E., 1996, J. Mol. Biol., 259, 444
- Srinivasan J., 1998, J. Am. Chem. Soc., 120, 9409
- Vorobjev Y. N., 1998, Funct. Genet.
- Sitkoff D., 1998, J. Phys. Chem., 98, 1983
- Cheatham T. E., 1998, J. Biomol. Struct. Des., 16, 280
- Simmerling C., 1998, J. Am. Chem. Soc., 120, 7155
- Lee M., 2000, Proteins, 39, 316
- Lee M., J. Am. Chem. Soc., submitted.
- Simons K. T., 1999, Funct. Genet.
- Cordes M. H. J., 1999, Science, 284, 327
- Kollman P. A., 1997, Computer Simulations of Biomolecular Systems: Computer Simulations of Biomolecular Systems
- Kuhn B., J. Med. Chem., in press.
- Wang J., 1998, Proteins, 34, 81
- Wang W., 1999, Proteins, 34, 402
- Kuhn B., 2000, J. Am. Chem. Soc, 122, 3916
- Donini O., J. Med. Chem., in press.
- Wang W., J. Mol. Biol., in press.
- Reyes C., 1999, RNA, 5, 244
- Avis J. M., 1996, J. Mol. Biol., 257, 341
- Allain F. H. T., 1996, Nature, 380, 650
- Grubser C. C., 1996, Biochemistry, 35, 2267
- Dubridge C., 1994, Nature, 372, 438
- Vorobjev C. Y. N., 1999, Biophys. Chem., 78, 205
- Lee T., 2000, J. Am. Chem. Soc., 122, 4393
- Williams D. J., 1999, Biophys. J., 76, 3205
- Zou X. Q., 1999, J. Am. Chem. Soc., 121, 8043
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Brooijmans, N., & Kuntz, I. D. (2003) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.32.110601.142532 · Cited by 812
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Moreira, I. S., Fernandes, P. A., & Ramos, M. J. (2007) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.21396 · Cited by 760
Mohanty, J., Barooah, N., Dhamodharan, V., Harikrishna, S., Pradeepkumar, P. I., & Bhasikuttan, A. C. (2012) · Journal of the American Chemical Society · doi:10.1021/ja309588h · Cited by 700
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Salo‐Ahen, O. M. H., Alanko, I., Bhadane, R. N., Bonvin, A. M. J. J., Honorato, R. V., Hossain, S., Juffer, A. H., Kabedev, A., Lahtela-Kakkonen, M. K., Larsen, A. S., et al. (2020) · Processes · doi:10.3390/pr9010071 · Cited by 732
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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., et al. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00427 · Cited by 606
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Metadata
- Authors
- Kollman, P. A., Massova, I., Reyes, C., Kuhn, B., Huo, S., Chong, L., Lee, M., Lee, T., Duan, Y., Wang, W., Donini, O., Cieplak, P., Srinivasan, J., Case, D. A., & Cheatham, T. E.
- Affiliations
- Scripps Research Institute (US)
- Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94143, The Scripps Research Institute, LaJolla, California 92037, and Department of Medicinal Chemistry, University of Utah, Salt Lake City, Utah 84112
- ORCID
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-10-04
- Volume
- 33
- Issue
- 12
- Pages
- 889-897
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W1975580333
- Cited by
- 4,978
- References
- 61
- Citations by year
- 2026: 261 · 2025: 323 · 2024: 299 · 2023: 345 · 2022: 313 · 2021: 336 · 2020: 290 · 2019: 259 · 2018: 249 · 2017: 248 · 2016: 243 · 2015: 197 · 2014: 236 · 2013: 233 · 2012: 220
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Accounts of Chemical Research (publishedVersion)
- PubMed (publishedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Funders
- National Institutes of Health (2r01ca025644-22)
- National Cancer Institute (CA25644)
- National Institute of General Medical Sciences (R01GM029072, GM29072)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Keywords
- molecular dynamics, biological macromolecules, force fields, implicit solvent, relative free energy, molecular mechanics, nucleic acid duplexes, RNA hairpin, protein folding, protein-ligand interactions, protein-protein interaction, protein-nucleic acid interactions, structural calculation
- MeSH terms
- Base Sequence, DNA, Models, Molecular, Proteins, RNA, Thermodynamics, Molecular Structure
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