The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Lipid14: The Amber Lipid Force Field
Open accessAbstract
The AMBER lipid force field has been updated to create Lipid14, allowing tensionless simulation of a number of lipid types with the AMBER MD package. The modular nature of this force field allows numerous combinations of head and tail groups to create different lipid types, enabling the easy insertion of new lipid species. The Lennard-Jones and torsion parameters of both the head and tail groups have been revised and updated partial charges calculated. The force field has been validated by simulating bilayers of six different lipid types for a total of 0.5 μs each without applying a surface tension; with favorable comparison to experiment for properties such as area per lipid, volume per lipid, bilayer thickness, NMR order parameters, scattering data, and lipid lateral diffusion. As the derivation of this force field is consistent with the AMBER development philosophy, Lipid14 is compatible with the AMBER protein, nucleic acid, carbohydrate, and small molecule force fields.
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CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
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
Molecular dynamics with coupling to an external bath
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., DiNola, A., & Haak, J. R. (1984) · The Journal of Chemical Physics · doi:10.1063/1.448118 · Cited by 30,700
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
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
Numerical Recipes, The Art of Scientific Computing
Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T., & Gould, H. (1987) · American Journal of Physics · doi:10.1119/1.14981 · Cited by 10,024
Bayly, C. I., Cieplak, P., Cornell, W., & Kollman, P. A. (1993) · The Journal of Physical Chemistry · doi:10.1021/j100142a004 · Cited by 8,081
PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data
Roe, D. R., & Cheatham, T. E. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400341p · Cited by 7,382
Membrane lipids: where they are and how they behave
van Meer, G., Voelker, D. R., & Feigenson, G. W. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2330 · Cited by 7,157
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Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
Salo-Ahen, O. M. H., Alanko, I., Bhadane, R., Bonvin, A. M. J. J., Honorato, R. V., Hossain, S., Juffer, A. H., Kabedev, A., Lahtela-Kakkonen, M., Larsen, A. S., et al. (2020) · Processes · doi:10.3390/pr9010071 · Cited by 659
Emerging Diversity in Lipid–Protein Interactions
Corradi, V., Sejdiu, B. I., Mesa-Galloso, H., Abdizadeh, H., Noskov, S. Y., Marrink, S. J., & Tieleman, D. P. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00451 · Cited by 459
Muller, M. P., Jiang, T., Sun, C., Lihan, M., Pant, S., Mahinthichaichan, P., Trifan, A., & Tajkhorshid, E. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00608 · Cited by 282
Crystal structures of a GABAA-receptor chimera reveal new endogenous neurosteroid-binding sites.
Laverty, D., Thomas, P., Field, M., Andersen, O. J., Gold, M. G., Biggin, P. C., Gielen, M., & Smart, T. G. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3477 · Cited by 179
Allen, W. J., Corey, R. A., Oatley, P., Sessions, R. B., Baldwin, S. A., Radford, S. E., Tuma, R., & Collinson, I. (2016) · eLife · doi:10.7554/elife.15598 · Cited by 103
Weston, C., Winfield, I., Harris, M., Hodgson, R., Shah, A., Dowell, S. J., Mobarec, J. C., Woodlock, D. A., Reynolds, C. A., Poyner, D. R., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.751362 · Cited by 95
Structure of infective Getah virus at 2.8 A resolution determined by cryo-electron microscopy
Wang, A., Zhou, F., Liu, C., Gao, D., Qi, R., Yin, Y., Liu, S., Gao, Y., Fu, L., Xia, Y., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00374-6 · Cited by 41
Khadke, S. K., Lee, J.-H., Kim, Y.-G., Raj, V., & Lee, J. (2021) · Biomedicines · doi:10.3390/biomedicines9091133 · Cited by 33
Extracellular loop 2 of G protein–coupled olfactory receptors is critical for odorant recognition
Yu, Y., Ma, Z., Pacalon, J., Xu, L., Li, W., Belloir, C., Topin, J., Briand, L., Golebiowski, J., & Cong, X. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102331 · Cited by 28
Turcu, A. L., Companys-Alemany, J., Phillips, M. B., Patel, D. S., Griñán-Ferré, C., Loza, M. I., Brea, J. M., Pérez, B., Soto, D., Sureda, F. X., et al. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2022.114354 · Cited by 27
Okamoto, C., & Ando, K. (2024) · Biophysics and Physicobiology · doi:10.2142/biophysico.bppb-v21.0007 · Cited by 19
Markov modeling reveals novel intracellular modulation of the human TREK-2 selectivity filter
Harrigan, M. P., McKiernan, K. A., Shanmugasundaram, V., Denny, R. A., & Pande, V. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-00256-y · Cited by 19
Kang, H., Han, A.-R., Zhang, A., Jeong, H., Koh, W., Lee, J. M., Lee, H., Jo, H. Y., Maria-Solano, M. A., Bhalla, M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49297-8 · Cited by 18
Janaszkiewicz, A., Tóth, Á., Faucher, Q., Martin, M., Chantemargue, B., Barin-Le Guellec, C., Marquet, P., & Di Meo, F. (2022) · Scientific Reports · doi:10.1038/s41598-022-10755-2 · Cited by 15
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Usami, A., Kono, H., Austen, V., Phung, Q. M., Shudo, H., Kato, T., Yamada, H., Yagi, A., Amaike, K., Fujimoto, K. J., et al. (2025) · Science · doi:10.1126/science.adp9384 · Cited by 15
Bignon, E., Marazzi, M., Grandemange, S., & Monari, A. (2022) · Chemical Science · doi:10.1039/d2sc00108j · Cited by 13
McKiernan, K. A., Koster, A. K., Maduke, M., & Pande, V. S. (2020) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1007530 · Cited by 12
Free Energy of Membrane Pore Formation and Stability from Molecular Dynamics Simulations
Rivel, T., Biriukov, D., Kabelka, I., & Vácha, R. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c01960 · Cited by 9
Metadata
- Authors
- Dickson, C. J., Madej, B. D., Skjevik, Å. A., Betz, R. M., Teigen, K., Gould, I. R., & Walker, R. C.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-01-30
- Volume
- 10
- Issue
- 2
- Pages
- 865-879
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2323104785
- Cited by
- 1,206
- References
- 85
- FWCI
- 24.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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