‘Assembly and analysis of cell-scale membrane envelopes’
Open accessAbstract
The march toward exascale computing will enable routine molecular simulation of larger and more complex systems, for example, simulation of entire viral particles, on the scale of approximately billions of atoms─a simulation size commensurate with a small bacterial cell. Anticipating the future hardware capabilities that will enable this type of research and paralleling advances in experimental structural biology, efforts are currently underway to develop software tools, procedures, and workflows for constructing cell-scale structures. Herein, we describe our efforts in developing and implementing an efficient and robust workflow for construction of cell-scale membrane envelopes and embedding membrane proteins into them. A new approach for construction of massive membrane structures that are stable during the simulations is built on implementing a subtractive assembly technique coupled with the development of a structure concatenation tool (fastmerge), which eliminates overlapping elements based on volumetric criteria rather than adding successive molecules to the simulation system. Using this approach, we have constructed two "protocells" consisting of MARTINI coarse-grained beads to represent cellular membranes, one the size of a cellular organelle and another the size of a small bacterial cell. The membrane envelopes constructed here remain whole during the molecular dynamics simulations performed and exhibit water flux only through specific proteins, demonstrating the success of our methodology in creating tight cell-like membrane compartments. Extended simulations of these cell-scale structures highlight the propensity for nonspecific interactions between adjacent membrane proteins leading to the formation of protein microclusters on the cell surface, an insight uniquely enabled by the scale of the simulations. We anticipate that the experiences and best practices presented here will form the basis for the next generation of cell-scale models, which will begin to address the addition of soluble proteins, nucleic acids, and small molecules essential to the function of a cell.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous works on large-scale membrane-enveloped systems have shown that finding the balance of interior solvent and lipid leaflets is a non-trivial task.
“Previous works on large-scale membrane-enveloped systems (Pezeshkian et al., 2021; Vermaas et al., 2022) have shown that finding this balance is a non-trivial task.”
From Molecular dynamics simulation of an entire cell (2023) · cites this paper as Vermaas et al., 2022
Unbalanced systems might experience strong osmotic pressures and membrane (curvature) stress, causing unwanted shape deformations all the way to membrane rupture.
“Unbalanced systems might experience strong osmotic pressures and membrane (curvature) stress, causing unwanted shape deformations all the way to membrane rupture.”
From Molecular dynamics simulation of an entire cell (2023) · cites this paper as Vermaas et al., 2022
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952 · see citing works
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 · see citing works
Polymorphic transitions in single crystals: A new molecular dynamics method
Parrinello, M., & Rahman, A. (1981) · Journal of Applied Physics · doi:10.1063/1.328693 · Cited by 19,668 · see citing works
GROMACS: Fast, flexible, and free
van der Spoel, D., Lindahl, E. R., Hess, B., Groenhof, G., Mark, A. E., & Berendsen, H. J. C. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20291 · Cited by 19,187 · see citing works
Canonical sampling through velocity rescaling
Bussi, G., Donadio, D., & Parrinello, M. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2408420 · Cited by 18,034 · see citing works
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675 · see citing works
P ACKMOL : A package for building initial configurations for molecular dynamics simulations
Martı́nez, L., Andrade, R., Birgin, E. G., & Martínez, J. M. (2009) · Journal of Computational Chemistry · doi:10.1002/jcc.21224 · Cited by 9,856 · see citing works
The MARTINI Force Field: Coarse Grained Model for Biomolecular Simulations
Marrink, . J., Risselada, H. J., Yefimov, S., Tieleman, D. P., & de Vries, A. H. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp071097f · Cited by 5,527 · see citing works
Elastic Properties of Lipid Bilayers: Theory and Possible Experiments
Helfrich, W. (1973) · Zeitschrift fur Naturforschung. Teil C: Biochemie, Biophysik, Biologie, Virologie · doi:10.1515/znc-1973-11-1209 · Cited by 5,438 · see citing works
MDAnalysis: A toolkit for the analysis of molecular dynamics simulations
Michaud‐Agrawal, N., Denning, E. J., Woolf, T. B., & Beckstein, O. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21787 · Cited by 4,549 · see citing works
Lipid rafts as a membrane-organizing principle
Lingwood, D., & Simons, K. (2010) · Science · doi:10.1126/science.1174621 · Cited by 4,417 · see citing works
P-LINCS: A Parallel Linear Constraint Solver for Molecular Simulation
Hess, B. (2007) · Journal of Chemical Theory and Computation · doi:10.1021/ct700200b · Cited by 4,020 · see citing works
Evidence for the Formation of Symmetric and Asymmetric DLPC-DAPC Lipid Bilayer Domains
Ritter, M., Schmidt, S., Jakab, M., Paulmichl, M., & Henderson, R. M. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350122 · Cited by 3,923 · see citing works
PLUMED 2: New feathers for an old bird
Tribello, G. A., Bonomi, M., Branduardi, D., Camilloni, C., & Bussi, G. (2013) · Computer Physics Communications · doi:10.1016/j.cpc.2013.09.018 · Cited by 3,427 · see citing works
Molecular Dynamics Simulation for All
Hollingsworth, S. A., & Dror, R. O. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.011 · Cited by 3,313 · see citing works
Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098679 · Cited by 2,909 · see citing works
CHARMM-GUI Membrane Builder Toward Realistic Biological Membrane Simulations
Wu, E., Cheng, X., Jo, S., Rui, H., Song, K., Dávila-Contreras, E. M., Qi, Y., Lee, J.-M., Monje-Galvan, V., Venable, R., et al. (2014) · Journal of Computational Chemistry · doi:10.1002/jcc.23702 · Cited by 2,563 · see citing works
The MARTINI Coarse-Grained Force Field: Extension to Proteins
Monticelli, L., Kandasamy, S. K., Périole, X., Larson, R. G., Tieleman, D. P., & Marrink, . J. (2008) · Journal of Chemical Theory and Computation · doi:10.1021/ct700324x · Cited by 2,491 · see citing works
Molecular anatomy of a trafficking organelle
Takamori, S., Holt, M., Stenius, K., Lemke, E. A., Grønborg, M., Riedel, D., Urlaub, H., Schenck, S., Brügger, B., Ringler, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.10.030 · Cited by 2,373 · see citing works
OPM database and PPM web server: resources for positioning of proteins in membranes
Lomize, M. A., Pogozheva, I. D., Joo, H., Mosberg, H. I., & Lomize, A. L. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr703 · Cited by 2,126 · see citing works
Brownian motion in biological membranes
Saffman, P. G., & Delbrück, M. (1975) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.72.8.3111 · Cited by 1,773 · see citing works
Martini 3: A general purpose force field for coarse-grained molecular dynamics
Souza, P. C. T., Alessandri, R., Barnoud, J., Thallmair, S., Faustino, I., Grünewald, F., Patmanidis, I., Abdizadeh, H., Bruininks, B. M. H., Wassenaar, T. A., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01098-3 · Cited by 1,551 · see citing works
Design and synthesis of a minimal bacterial genome
Hutchison, C. A., Chuang, R.-Y., Noskov, V. N., Assad-Garcia, N., Deerinck, T. J., Ellisman, M. H., Gill, J., Kannan, K., Karas, B. J., Ma, L., et al. (2016) · Science · doi:10.1126/science.aad6253 · Cited by 1,500 · see citing works
Kühlbrandt, W. (2014) · Science · doi:10.1126/science.1251652 · Cited by 1,325 · see citing works
Molecular Architecture of the Rotary Motor in ATP Synthase
Stock, D., Leslie, A. G. W., & Walker, J. E. (1999) · Science · doi:10.1126/science.286.5445.1700 · Cited by 1,271 · see citing works
Automated Builder and Database of Protein/Membrane Complexes for Molecular Dynamics Simulations
Jo, S., Kim, T., & Im, W. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000880 · Cited by 1,186 · see citing works
OPM: Orientations of Proteins in Membranes database
Lomize, M. A., Lomize, A. L., Pogozheva, I. D., & Mosberg, H. I. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btk023 · Cited by 1,178 · see citing works
Perspective on the Martini model
Marrink, . J., & Tieleman, D. P. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60093a · Cited by 1,172 · see citing works
Using collective variables to drive molecular dynamics simulations
Fiorin, G., Klein, M. L., & Hénin, J. (2013) · Molecular Physics · doi:10.1080/00268976.2013.813594 · Cited by 1,053 · see citing works
Mature HIV-1 capsid structure by cryo-electron microscopy and all-atom molecular dynamics
Zhao, G., Perilla, J. R., Yufenyuy, E. L., Meng, X., Chen, B., Ning, J., Ahn, J., Gronenborn, A. M., Schulten, K., Aiken, C., et al. (2013) · Nature · doi:10.1038/nature12162 · Cited by 801 · see citing works
Flexibility in the ABC transporter MsbA: Alternating access with a twist
Ward, A. B., Reyes, C. L., Yu, J., Roth, C., & Chang, G. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709388104 · Cited by 774 · see citing works
Wassenaar, T. A., Pluháčková, K., Böckmann, R. A., Marrink, . J., & Tieleman, D. P. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400617g · Cited by 711 · see citing works
Computational Modeling of Realistic Cell Membranes
Marrink, . J., Corradi, V., Souza, P. C. T., Ingólfsson, H. I., Tieleman, D. P., & Sansom, M. S. P. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00460 · Cited by 695 · see citing works
Probing protein heterogeneity in the plasma membrane using PALM and pair correlation analysis
Sengupta, P., Jovanović‐Talisman, T., Skoko, D., Renz, M., Veatch, S. L., & Lippincott‐Schwartz, J. (2011) · Nature Methods · doi:10.1038/nmeth.1704 · Cited by 588 · see citing works
CHARMM-GUI Martini Maker for Coarse-Grained Simulations with the Martini Force Field
Qi, Y., Ingólfsson, H. I., Cheng, X., Lee, J., Marrink, S. J., & Im, W. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00513 · Cited by 494 · see citing works
Measurement of Areas on a Sphere Using Fibonacci and Latitude–Longitude Lattices
González, Á. (2009) · Mathematical Geosciences · doi:10.1007/s11004-009-9257-x · Cited by 463 · see citing works
Diverse uncultivated ultra-small bacterial cells in groundwater
Luef, B., Frischkorn, K. R., Wrighton, K. C., Holman, H. N., Birarda, G., Thomas, B. C., Singh, A., Williams, K. H., Siegerist, C. E., Tringe, S. G., et al. (2015) · Nature Communications · doi:10.1038/ncomms7372 · Cited by 454 · see citing works
Membrane Proteins of the Endoplasmic Reticulum Induce High-Curvature Tubules
Hu, J., Shibata, Y., Voss, C., Shemesh, T., Li, Z., Coughlin, M. L., Kozlov, M. M., Rapoport, T. A., & Prinz, W. A. (2008) · Science · doi:10.1126/science.1153634 · Cited by 448 · see citing works
Martini straight: Boosting performance using a shorter cutoff and GPUs
de Jong, D. D., Baoukina, S., Ingólfsson, H., & Marrink, S. (2016) · Computer Physics Communications · doi:10.1016/j.cpc.2015.09.014 · Cited by 410 · see citing works
Wolf, M. G., Hoefling, M., Aponte-Santamaria, C. A., Grubmüller, H., & Groenhof, G. (2010) · Journal of Computational Chemistry · doi:10.1002/jcc.21507 · Cited by 373 · see citing works
Trabuco, L. G., Villa, E., Schreiner, E., Harrison, C. B., & Schulten, K. J. (2009) · Methods · doi:10.1016/j.ymeth.2009.04.005 · Cited by 345 · see citing works
Lateral Diffusion of Membrane Proteins
Ramadurai, S., Holt, A., Krasnikov, V. V., van den Bogaart, G., Killian, J. A., & Poolman, B. (2009) · Journal of the American Chemical Society · doi:10.1021/ja902853g · Cited by 331 · see citing works
Guidotti, G. (1972) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.41.070172.003503 · Cited by 327 · see citing works
Instability and Deformation of a Spherical Vesicle by Pressure
Zhong-can, O.-Y., & Helfrich, W. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.2486 · Cited by 323 · see citing works
Architecture and Selectivity in Aquaporins: 2.5 Å X-Ray Structure of Aquaporin Z
Savage, D. F., Egea, P. F., Robles‐Colmenares, Y., O’Connell, J. D., & Stroud, R. M. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000072 · Cited by 301 · see citing works
MemProtMD: Automated Insertion of Membrane Protein Structures into Explicit Lipid Membranes
Stansfeld, P. J., Goose, J. E., Caffrey, M., Carpenter, E. P., Parker, J. L., Newstead, S. L., & Sansom, M. S. P. (2015) · Structure · doi:10.1016/j.str.2015.05.006 · Cited by 290 · see citing works
Diffusion of Liquid Domains in Lipid Bilayer Membranes
Cicuta, P., Keller, S. L., & Veatch, S. L. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp0702088 · Cited by 282 · see citing works
Protein area occupancy at the center of the red blood cell membrane
Dupuy, A. D., & Engelman, D. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712379105 · Cited by 262 · see citing works
Fibonacci grids: A novel approach to global modelling
Swinbank, R., & Purser, R. J. (2006) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.05.227 · Cited by 254 · see citing works
Mechanism of lignin inhibition of enzymatic biomass deconstruction
Vermaas, J. V., Petridis, L., Qi, X., Schulz, R., Lindner, B., & Smith, J. C. (2015) · Biotechnology for Biofuels · doi:10.1186/s13068-015-0379-8 · Cited by 252 · see citing works
Self-citationYu, I., Mori, T., Ando, T., Harada, R., Jung, J., Sugita, Y., & Feig, M. (2016) · eLife · doi:10.7554/elife.19274 · Cited by 238 · see citing works
Périole, X., Knepp, A. M., Sakmar, T. P., Marrink, . J., & Huber, T. (2012) · Journal of the American Chemical Society · doi:10.1021/ja303286e · Cited by 213 · see citing works
Supramolecular assemblies underpin turnover of outer membrane proteins in bacteria
Rassam, P., Copeland, N. A., Birkholz, O., Tóth, C., Chavent, M. G., Duncan, A. L., Cross, S., Housden, N. G., Kaminska, R., Seger, U., et al. (2015) · Nature · doi:10.1038/nature14461 · Cited by 210 · see citing works
Hsu, P., Bruininks, B. M. H., Jefferies, D., Cesar Telles de Souza, P., Lee, J., Patel, D. S., Marrink, S. J., Qi, Y., Khalid, S., & Im, W. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.24895 · Cited by 202 · see citing works
Structural Basis of Trans-Inhibition in a Molybdate/Tungstate ABC Transporter
Gerber, S., Comellas-Bigler, M., Goetz, B. A., & Locher, K. P. (2008) · Science · doi:10.1126/science.1156213 · Cited by 188 · see citing works
An Optical Technique for Mapping Microviscosity Dynamics in Cellular Organelles
Chambers, J. E., Kubánková, M., Huber, R. G., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b00177 · Cited by 187 · see citing works
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics
Casalino, L., Dommer, A. C., Gaieb, Z., de Barros, E. P., Sztain, T., Ahn, S.-H., Trifan, A., Brace, A., Bogetti, A. T., Clyde, A., et al. (2021) · The International Journal of High Performance Computing Applications · doi:10.1177/10943420211006452 · Cited by 187 · see citing works
Coarse-grained molecular models of water: a review
Hadley, K. R., & McCabe, C. (2012) · Molecular Simulation · doi:10.1080/08927022.2012.671942 · Cited by 186 · see citing works
Excessive aggregation of membrane proteins in the Martini model
Javanainen, M., Martinez‐Seara, H., & Vattulainen, I. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187936 · Cited by 179 · see citing works
Atoms to Phenotypes: Molecular Design Principles of Cellular Energy Metabolism
Singharoy, A., Maffeo, C., Delgado‐Magnero, K. H., Swainsbury, D. J. K., Şener, M., Kleinekathöfer, U., Vant, J., Nguyen, J. T., Hitchcock, A., Isralewitz, B., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.021 · Cited by 175 · see citing works
Self-citationEgea, P. F., & Stroud, R. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012556107 · Cited by 174 · see citing works
A multiscale coarse-grained model of the SARS-CoV-2 virion
Yu, A., Pak, A. J., He, P., Monje‐Galvan, V., Casalino, L., Gaieb, Z., Dommer, A. C., Amaro, R. E., & Voth, G. A. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2020.10.048 · Cited by 166 · see citing works
Reduced Lateral Mobility of Lipids and Proteins in Crowded Membranes
Goose, J. E., & Sansom, M. S. P. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003033 · Cited by 165 · see citing works
Intermonolayer Friction and Surface Shear Viscosity of Lipid Bilayer Membranes
den Otter, W. K., & Shkulipa, S. A. (2007) · Biophysical Journal · doi:10.1529/biophysj.107.105395 · Cited by 153 · see citing works
Charting the native architecture of Chlamydomonas thylakoid membranes with single-molecule precision
Wietrzyñski, W., Schaffer, M., Tegunov, D., Albert, S., Kanazawa, A., Plitzko, J. M., Baumeister, W. P., & Engel, B. D. (2020) · eLife · doi:10.7554/elife.53740 · Cited by 148 · see citing works
Crystal structure of Escherichia coli YidC, a membrane protein chaperone and insertase
Kumazaki, K., Kishimoto, T., Furukawa, A., Mori, H., Tanaka, Y., Dohmae, N., Ishitani, R., Tsukazaki, T., & Nureki, O. (2014) · Scientific Reports · doi:10.1038/srep07299 · Cited by 142 · see citing works
Park, S., Choi, Y. K., Kim, S., Lee, J., & Im, W. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00770 · Cited by 141 · see citing works
cellPACK: A Virtual Mesoscope to Model and Visualize Structural Systems Biology
Johnson, G. T., Autin, L., Al-Alusi, M., Goodsell, D., Sanner, M. F., & Olson, A. (2014) · Nature Methods · doi:10.1038/nmeth.3204 · Cited by 140 · see citing works
Dong, D., Huang, X., Li, L., Mao, H., Mo, Y., Zhang, G., Zhang, Z., Shen, J., Liu, W., Wu, Z., et al. (2020) · Light Science & Applications · doi:10.1038/s41377-020-0249-4 · Cited by 140 · see citing works
Direct protein-lipid interactions shape the conformational landscape of secondary transporters
Martens, C., Shekhar, M., Borysik, A. J., Lau, A. M., Reading, E., Tajkhorshid, E., Booth, P. J., & Politis, A. (2018) · Nature Communications · doi:10.1038/s41467-018-06704-1 · Cited by 134 · see citing works
Backmapping triangulated surfaces to coarse-grained membrane models
Pezeshkian, W., König, M., Wassenaar, T., & Marrink, S. (2020) · Nature Communications · doi:10.1038/s41467-020-16094-y · Cited by 129 · see citing works
Large-Scale Conformational Changes and Protein Function: Breaking the in silico Barrier
Orellana, L. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00117 · Cited by 121 · see citing works
Crystal structures of a polypeptide processing and secretion transporter
Lin, D. Y.-W., Huang, S., & Chen, J. (2015) · Nature · doi:10.1038/nature14623 · Cited by 118 · see citing works
Lipid and Peptide Diffusion in Bilayers: The Saffman–Delbrück Model and Periodic Boundary Conditions
Venable, R. M., Ingólfsson, H. I., Lerner, M. G., Perrin, B. S., Camley, B. A., Marrink, . J., Brown, F. L. H., & Pastor, R. W. (2016) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.6b09111 · Cited by 118 · see citing works
Membrane Driven Spatial Organization of GPCRs
Mondal, S., Johnston, J. M., Wang, H., Khelashvili, G., Filizola, M., & Weinstein, H. (2013) · Scientific Reports · doi:10.1038/srep02909 · Cited by 117 · see citing works
The structure of the KtrAB potassium transporter
Vieira-Pires, R. S., Szollosi, A., & Morais-Cabral, J. H. (2013) · Nature · doi:10.1038/nature12055 · Cited by 109 · see citing works
Gudheti, M. V., Curthoys, N. M., Gould, T. J., Kim, D., Gunewardene, M. S., Gabor, K. A., Gosse, J. A., Kim, C. H., Zimmerberg, J., & Hess, S. T. (2013) · Biophysical Journal · doi:10.1016/j.bpj.2013.03.054 · Cited by 106 · see citing works
Organization and Dynamics of Receptor Proteins in a Plasma Membrane
Koldsø, H., & Sansom, M. S. P. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b08048 · Cited by 105 · see citing works
Stolee, J. A., Shrestha, B., Mengistu, G., & Vértes, Á. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201205436 · Cited by 104 · see citing works
The role of basic residues in the adsorption of blood proteins onto the graphene surface
Gu, Z., Yang, Z., Wang, L., et al. (2015) · Scientific Reports · doi:10.1038/srep10873 · Cited by 102 · see citing works
Mesoscale All-Atom Influenza Virus Simulations Suggest New Substrate Binding Mechanism
Durrant, J. D., Kochanek, S. E., Casalino, L., Ieong, P. U., Dommer, A. C., & Amaro, R. E. (2020) · ACS Central Science · doi:10.1021/acscentsci.9b01071 · Cited by 101 · see citing works
Crystal structure of a folate energy-coupling factor transporter from Lactobacillus brevis
Xu, K., Zhang, M., Zhao, Q., Yu, F., Guo, H., Wang, C., He, F., Ding, J., & Zhang, P. (2013) · Nature · doi:10.1038/nature12046 · Cited by 100 · see citing works
Nothing to Sneeze At: A Dynamic and Integrative Computational Model of an Influenza A Virion
Reddy, T. J., Shorthouse, D., Parton, D. L., Jefferys, E. E., Fowler, P. W., Chavent, M. G., Baaden, M., & Sansom, M. S. P. (2015) · Structure · doi:10.1016/j.str.2014.12.019 · Cited by 100 · see citing works
Anatomy of F 1 -ATPase powered rotation
Martin, J. L., Ishmukhametov, R. R., Hornung, T., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317784111 · Cited by 94 · see citing works
Molecular mechanism of cardiolipin-mediated assembly of respiratory chain supercomplexes
Arnarez, C., Marrink, . J., & Périole, X. (2016) · Chemical Science · doi:10.1039/c5sc04664e · Cited by 94 · see citing works
Islam, S. M., Stein, R., Mchaourab, H., & Roux, B. (2013) · Journal of Physical Chemistry B · doi:10.1021/jp311723a · Cited by 93 · see citing works
Automated Transformation of Lignin Topologies into Atomic Structures with LigninBuilder
Vermaas, J. V., Dellon, L. D., Broadbelt, L. J., Beckham, G. T., & Crowley, M. F. (2018) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.8b05665 · Cited by 90 · see citing works
Self-citationJ�nger, M., & Thienel, S. (2000) · Software Practice and Experience · doi:10.1002/1097-024x(200009)30:11 · Cited by 86 · see citing works
Microtubule organization in vitro
Dogterom, M., & Surrey, T. (2012) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2012.12.002 · Cited by 84 · see citing works
Divergent Diffusion Coefficients in Simulations of Fluids and Lipid Membranes
Vögele, M., & Hummer, G. (2016) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.6b05102 · Cited by 83 · see citing works
Strong influence of periodic boundary conditions on lateral diffusion in lipid bilayer membranes.
Camley, B. A., Lerner, M. G., Pastor, R., & Brown, F. L. H. (2015) · Journal of Chemical Physics · doi:10.1063/1.4932980 · Cited by 82 · see citing works
Structure of a Copper Pump Suggests a Regulatory Role for Its Metal-Binding Domain
Wu, C.-C., Rice, W. J., & Stokes, D. L. (2008) · Structure · doi:10.1016/j.str.2008.02.025 · Cited by 81 · see citing works
Crystal structure of a substrate-free aspartate transporter
Jensen, S., Guskov, A., Rempel, S., et al. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2663 · Cited by 81 · see citing works
Diffusion of Integral Membrane Proteins in Protein-Rich Membranes
Javanainen, M., Martinez‐Seara, H., Metzler, R., & Vattulainen, I. (2017) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.7b01758 · Cited by 78 · see citing works
Feig, M., Harada, R., Mori, T., Yu, I., Takahashi, K., & Sugita, Y. (2015) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2015.02.004 · Cited by 77 · see citing works
Building structural models of a whole mycoplasma cell
Maritan, M., Autin, L., Karr, J., Covert, M. W., Olson, A. J., & Goodsell, D. S. (2022) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167351 · Cited by 75 · see citing works
LipidWrapper: An Algorithm for Generating Large-Scale Membrane Models of Arbitrary Geometry
Durrant, J. D., & Amaro, R. E. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003720 · Cited by 72 · see citing works
Application of Mean Field Boundary Potentials in Simulations of Lipid Vesicles
Risselada, H. J., Mark, A. E., & Marrink, . J. (2008) · The Journal of Physical Chemistry B · doi:10.1021/jp0758519 · Cited by 71 · see citing works
Molecular dynamics simulations of carbon nanotube porins in lipid bilayers
Vögele, M., Köfinger, J., & Hummer, G. (2018) · Faraday Discussions · doi:10.1039/c8fd00011e · Cited by 68 · see citing works
Liu, X., Yin, Y., Wu, J., & Liu, Z. (2014) · Nature Communications · doi:10.1038/ncomms5244 · Cited by 64 · see citing works
3D molecular models of whole HIV-1 virions generated with cellPACK
Johnson, G. T., Goodsell, D. S., Autin, L., Forli, S., Sanner, M. F., & Olson, A. J. (2014) · Faraday Discussions · doi:10.1039/c4fd00017j · Cited by 62 · see citing works
BUMPy: A Model-Independent Tool for Constructing Lipid Bilayers of Varying Curvature and Composition
Boyd, K. J., & May, E. R. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00765 · Cited by 59 · see citing works
Conformational heterogeneity of α -synuclein in membrane
Vermaas, J. V., & Tajkhorshid, E. (2014) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2014.08.012 · Cited by 54 · see citing works
Self-citationxMDFF: molecular dynamics flexible fitting of low-resolution X-ray structures
McGreevy, R., Singharoy, A., Li, Q., Zhang, J., Xu, D. H., Perozo, E., & Schulten, K. J. (2014) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s1399004714013856 · Cited by 49 · see citing works
Alchembed: A Computational Method for Incorporating Multiple Proteins into Complex Lipid Geometries
Jefferys, E. E., Sands, Z. A., Shi, J., Sansom, M. S. P., & Fowler, P. W. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/ct501111d · Cited by 42 · see citing works
Johnson, E. F., Nguyen, P., Yeates, T. O., et al. (2011) · Protein Science · doi:10.1002/pro.765 · Cited by 41 · see citing works
Stone, J. E., McGreevy, R., Isralewitz, B., & Schulten, K. J. (2014) · Faraday Discussions · doi:10.1039/c4fd00005f · Cited by 41 · see citing works
Javanainen, M. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500046e · Cited by 40 · see citing works
Irudayanathan, F. J., Wang, X., Wang, N., Willsey, S. R., Seddon, I. A., & Nangia, S. (2018) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.8b03842 · Cited by 40 · see citing works
Oligomerization of the Tetraspanin CD81 via the Flexibility of Its δ -Loop
Schmidt, T. H., Homsi, Y., & Lang, T. (2016) · Biophysical Journal · doi:10.1016/j.bpj.2016.05.003 · Cited by 32 · see citing works
Ghosh, A., Sonavane, U., & Joshi, R. (2013) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2013.11.002 · Cited by 29 · see citing works
Shen, R., Han, W., Fiorin, G., Islam, S. M., Schulten, K., & Roux, B. (2015) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1004368 · Cited by 29 · see citing works
Sóñora, M., Martı́nez, L., Pantano, S., et al. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c01205 · Cited by 28 · see citing works
Zhao, Q., Wang, C., Wang, C., Guo, H., Bao, Z., Zhang, M., & Zhang, P. (2015) · Nature Communications · doi:10.1038/ncomms8661 · Cited by 27 · see citing works
Amaro, R. E., Ieong, P. U., Huber, G., Dommer, A. C., Steven, A. C., Bush, R. M., Durrant, J. D., & Votapka, L. W. (2018) · ACS Central Science · doi:10.1021/acscentsci.8b00666 · Cited by 25 · see citing works
Computational studies of membrane proteins: from sequence to structure to simulation
Stansfeld, P. J. (2017) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2017.04.004 · Cited by 18 · see citing works
Inhomogeneity Based Characterization of Distribution Patterns on the Plasma Membrane
Paparelli, L., Corthout, N., Pavie, B., et al. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005095 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Two decades of Martini: Better beads, broader scope
Marrink, S. J., Monticelli, L., Melo, M. N., Alessandri, R., Tieleman, D. P., & Souza, P. C. T. (2023) · WIREs Computational Molecular Science · doi:10.1002/wcms.1620 · Cited by 255 · see citing works
Molecular dynamics simulation of an entire cell
Stevens, J. A., Grünewald, F., van Tilburg, P. A. M., König, M., Gilbert, B. R., Brier, T. A., Thornburg, Z. R., Luthey-Schulten, Z., & Marrink, S. J. (2023) · Frontiers in Chemistry · doi:10.3389/fchem.2023.1106495 · Cited by 156 · see citing works
“Previous works on large-scale membrane-enveloped systems (Pezeshkian et al., 2021; Vermaas et al., 2022) have shown that fi nding this balance is a non-trivial task.”
Background
- Authors
- Vermaas, J. V., Mayne, C. G., Shinn, E., & Tajkhorshid, E.
- Affiliations
- National Laboratory of the Rockies (US)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Vermaas, Josh V.
- Tajkhorshid, Emad
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-12-15
- Volume
- 62
- Issue
- 3
- Pages
- 602-617
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- PMC
- PMC8903035
- OpenAlex
- W4200276510
- Cited by
- 30
- References
- 117
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 4 · 2023: 10 · 2022: 7
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Chemical Information and Modeling (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Laboratory Directed Research and Development
- National Institute of General Medical Sciences (P41-GM104601)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- 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
- Keywords
- protocells, Martini coarse-grained model, bacterial membranes, water flux, molecular dynamics simulation, simulation workflow
- MeSH terms
- Cell Membrane, Membrane Proteins, Software, Water, Molecular Dynamics Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review