Mesoscale simulation of biomembranes with FreeDTS
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Abstract
We present FreeDTS software for performing computational research on biomembranes at the mesoscale. In this software, a membrane is represented by a dynamically triangulated surface equipped with vertex-based inclusions to integrate the effects of integral and peripheral membrane proteins. Several algorithms are included in the software to simulate complex membranes at different conditions such as framed membranes with constant tension, vesicles and high-genus membranes with various fixed volumes or constant pressure differences and applying external forces to membrane regions. Furthermore, the software allows the user to turn off the shape evolution of the membrane and focus solely on the organization of proteins. As a result, we can take realistic membrane shapes obtained from, for example, cryo-electron tomography and backmap them into a finer simulation model. In addition to many biomembrane applications, this software brings us a step closer to simulating realistic biomembranes with molecular resolution. Here we provide several interesting showcases of the power of the software but leave a wide range of potential applications for interested users.
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FreeDTS captures realistic membrane mechanics because it uses the Helfrich Hamiltonian, which has been shown to accurately represent membrane behavior at large scales.
“FreeDTS captures realistic membrane mechanics, as it uses the Helfrich Hamiltonian, which has been shown to accurately represent membrane behavior at large scales.36”
From Bringing the genetically minimal cell to life on a computer in 4D (2026) · cites this paper as [36]
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The mesoscopic membrane with proteins (MesM-P) model
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“In addition to its use for exploring many biomembrane application, this software brings us a step closer to simulating realistic biomembranes with molecular resolution.”
A Multi-Scale Approach to Membrane Remodeling Processes
Pezeshkian, W., König, M., Marrink, S., & Ipsen, J. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00059 · Cited by 18 · cited 6× · see citing works
“In principle, protein density and protein-protein interactions of main membraneshaping proteins can be obtained from experiments such as cross-linking mass spectrometry [56] or from higher-resolution simulations [29].”
InfluentialSelf-citationKumar, G., Duggisetty, S. C., & Srivastava, A. K. (2022) · Journal of Membrane Biology · doi:10.1007/s00232-022-00268-4 · Cited by 17 · cited 1×
“In between these two scales, mesoscopic modes in which large biomolecules such as proteins are explicitly considered, while lipids are modeled in a mean field manner (but allows for undulations and shape fluctuations) are needed to fully map out the organization of complex membranes [20, 21].”
Elastic and thermodynamic consequences of lipid membrane asymmetry.
Foley, S. L., Varma, M., Hossein, A., & Deserno, M. (2023) · Emerging Topics in Life Sciences · doi:10.1042/etls20220084 · Cited by 16 · cited 1× · see citing works
“The membranes of cells, however, are much more complex and distinct mechanisms govern their overall arrangement at various scales, ranging from the molecular to the macroscale [8-10].”
BackgroundThermodynamics and kinetics of aggregation of flexible peripheral membrane proteins
Sadeghi, M., & Noé, F. (2021) · bioRxiv · doi:10.1101/2021.04.09.439228 · Cited by 15 · cited 1×
“FreeDTS also provide a more sophisticated volume coupling through the Jacobus van 't Hoff equation to better model osmotic pressure.”
MethodTriMem: A Parallelized Hybrid Monte Carlo Software for Efficient Simulations of Lipid Membranes
Siggel, M., Kehl, S., Reuter, K., Köfinger, J., & Hummer, G. (2022) · bioRxiv · doi:10.1101/2022.05.25.493239 · Cited by 14 · cited 1×
“FreeDTS allows for controlling global membrane curvature energy to a potential as where 𝑀 = ∑ 2𝐻 𝜐 𝐴 𝜐 𝑁 𝜐 𝜐”
Non-axisymmetric shapes of biological membranes from locally induced curvature
Omar, Y., Sahu, A., Sauer, R., & Mandadapu, K. (2019) · bioRxiv · doi:10.1101/688127 · Cited by 13 · cited 1×
“We have described the details of this algorithm in [35] and the SI section 2.”
MethodShape transitions of high-genus fluid vesicles
Noguchi, H. (2015) · doi:10.1209/0295-5075/112/58004 · Cited by 11 · cited 1×
“The source code can be found at https://github.com/weria-pezeshkian/FreeDTS.git”
BackgroundScaling Properties of Self-Avoiding Surfaces with Free Topology
Jeppesen, C., & Ipsen, J. (1993) · doi:10.1209/0295-5075/22/9/013 · Cited by 11 · cited 1×
“In addition to its use for exploring many biomembrane application, this software brings us a step closer to simulating realistic biomembranes with molecular resolution.”
Self-citationNoguchi, H. (2022) · Journal of Chemical Physics · doi:10.1063/5.0098249 · Cited by 10 · cited 1×
“Several mesoscopic models have been used to explore diverse range of membrane associated processes such as protein clustering via membrane-mediated interaction [22], membrane shape remolding by crowding of intrinsically disordered proteins[23], membrane neck constriction by assembly of proteins [24] and even activity-…”
Leaflet Tensions Control the Spatio-Temporal Remodeling of Lipid Bilayers and Nanovesicles
Lipowsky, R., Ghosh, R., Satarifard, V., Sreekumari, A., Zamaletdinov, M., Różycki, B., Miettinen, M. S., & Grafmüller, A. (2023) · Biomolecules · doi:10.3390/biom13060926 · Cited by 9 · see citing works
Ipsen, J., Hansen, A., & Bhatia, T. (2019) · doi:10.1201/9781315152516-14 · Cited by 9
Self-citationPulling of Tethers from the Cell Plasma Membrane Using Optical Tweezers.
Köster, D. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0732-9_15 · Cited by 9 · cited 1×
“Pulling a membrane tether: One of the common procedures to deform membranes is pulling a tether (nanotube) using, for example, optical tweezers [12, 54, 55].”
MethodTanabe, S. (2018) · doi:10.5772/intechopen.71809 · Cited by 8
Coarse-grained curvature tensor on polygonal surfaces
Duclut, C., Amiri, A., Paijmans, J., & Jülicher, F. (2021) · SciPost Physics Core · doi:10.21468/scipostphyscore.5.1.011 · Cited by 7 · cited 1×
“Several methods are available, each with its own advantages and disadvantages [32, 33].”
MethodFrame tension governs the thermal fluctuations of a fluid membrane: new evidence.
Durand, M. (2021) · Soft Matter · doi:10.1039/d1sm01765a · Cited by 6
Computational Approaches to Explore Bacterial Toxin Entry into the Host Cell
Pezeshkian, W., Shillcock, J., & Ipsen, J. (2021) · Toxins · doi:10.3390/toxins13070449 · Cited by 6 · cited 1× · see citing works
“Examples of exciting developments include the local curvature of membranes caused by a single protein or by the assembly of proteins [12-14], membrane shape induced lipid sorting[15], wetting induced membrane deformation [16], and even curvature sensing of proteins[17].”
Self-citationCreasing of flexible membranes at vanishing tension.
Pezeshkian, W., & Ipsen, J. (2021) · Physical Review E · doi:10.1103/physreve.103.l041001 · Cited by 6 · see citing works
Self-citationNumerical insights into the phase diagram of p-atic membranes with spherical topology
Hansen, A. G., Ramakrishnan, N., Kumar, P. B. S., & Ipsen, J. (2017) · The European Physical Journal E : Soft matter · doi:10.1140/epje/i2017-11515-7 · Cited by 4
Self-citationClose, but not too close: a mesoscopic description of (a)symmetry and membrane shaping mechanisms.
Ruhoff, V. T., Bendix, P., & Pezeshkian, W. (2023) · Emerging Topics in Life Sciences · doi:10.1042/etls20220078 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
3 of the 92 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [87]Pezeshkian, W. & Ipsen, J. Mesoscale simulation of biomembranes with FreeDTS (version FreeDTS2023). Zenodo10.5281/zenodo.10397542 (2023). PMC10792169 38228588
Cited by
Sorted by citations
Bringing the genetically minimal cell to life on a computer in 4D
Thornburg, Z. R., Maytin, A., Kwon, J., Brier, T. A., Gilbert, B. R., Fu, E., Gao, Y.-L., Quenneville, J., Wu, T., Li, H., et al. (2026) · Cell · doi:10.1016/j.cell.2026.02.009 · Cited by 44 · see citing works
Self-citationSchuhmann, F., Stevens, J. A., Rahmani, N., Lindahl, I., Brown, C. M., Brasnett, C., Anastasiou, D., Bravo Vidal, A., Geiger, B. J., Marrink, S.-J., et al. (2025) · doi:10.1101/2025.04.16.649160 · Cited by 14 · see citing works
“Initially, TS2CG was developed for backmapping dynamically triangulated simulation [27, 28] structures into their corresponding coarse-grained (CG) molecular models as an important element for multiscale membrane simulations using, by default, the Martini force field.”
Self-citationConfinement Induces Morphological and Topological Transitions in Multivesicles.
Mayorga, L., Mascotti, M. L., Bruininks, B., & Masone, D. (2025) · ACS Nano · doi:10.1021/acsnano.4c14171 · Cited by 8 · see citing works
Deng, X., Zhao, Y., Yang, F.-Y., Li, Y.-Y., & Ouyang, M.-L. (2025) · Langmuir · doi:10.1021/acs.langmuir.5c00720 · Cited by 6
Mesoscopic modeling of membranes at cellular scale
Dasanna, A. K., & Fedosov, D. (2024) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-024-01177-4 · Cited by 5
“[186] with the membrane, and assist cells in division [181], membrane budding [81, 182], and the release of viral particles [183].”
Delineating the shape of COat Protein complex-II coated membrane bud
Paul, S., Audhya, A., & Cui, Q. (2024) · bioRxiv · doi:10.1093/pnasnexus/pgae305 · Cited by 5 · see citing works
“With a flat membrane patch under constant tension, isotropic curvature-inducing inclusions have been shown to produce pearled tubule-like budding when the surface coverage of the proteins exceeds a certain threshold value (28, 29).”
Cmem Builder: An Automated Tool for Curved Membrane Construction in Molecular Dynamics Simulations.
Guo, J.-B., Lei, K., Liu, J., Tong, H. H. Y., Luo, Y., Han, W., & Li, S. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c00467 · Cited by 4 · see citing works
Bimodal Mechanical Response of Membrane Necks: Implications for the Nuclear Envelope
Geiger, B. J., & Pezeshkian, W. (2025) · ACS Nano · doi:10.1021/acsnano.5c05817 · Cited by 3 · see citing works
“Proteins in FreeDTS are modeled as inclusions with an in-plane orientation, so that there is at most one inclusion per membrane vertex.”
InfluentialSelf-citationDiffusion Analyses along Mean and Gaussian-Curved Membranes with CurD
Fábián, B., & Javanainen, M. (2024) · Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.4c00338 · Cited by 3 · see citing works
Tubulation of membrane sheets by curvature-inducing proteins.
Ghazizadeh, E., Zeidi, M., & Stroberg, W. (2025) · Biochimica et Biophysica Acta - Biomembranes · doi:10.1016/j.bbamem.2025.184484 · Cited by 2 · see citing works
Membrane vesicles embedded with multiple curved proteins subjected to osmotic pressure
Ma, Y., Sun, S., Huang, X., Tian, L., Li, L., & Wang, J. (2025) · Journal of the mechanics and physics of solids · doi:10.1016/j.jmps.2025.106283 · Cited by 2 · see citing works
Multi-body Fluctuation-Induced Forces Between Membrane Proteins: Insights from Mesoscale Simulations
Vidal, A. B., & Pezeshkian, W. (2026) · bioRxiv · doi:10.1101/2025.09.12.675822 · Cited by 1
“The details of the tension-control algorithm can be found elsewhere [20, 37].”
InfluentialSelf-citationMultiscale modeling approaches in biomolecular physics
Gerhards, L., Hungerland, J., Schuhmann, F., Kostritski, A., Bačić, V., Geiger, B. J., Vidal, A., Pezeshkian, W., Ortmann, F., Wiebeler, C., et al. (2026) · Advances in Physics: X · doi:10.1080/23746149.2026.2660655 · Cited by 1 · see citing works
Self-citationCoupling Anisotropic Curvature and Nematic Order: Mechanisms of Membrane Shape Remodeling
Ravid, Y., Penivc, S., Mesarec, L., Gov, N., Kralj-Iglivc, V., Iglivc, A., & Drab, M. (2025) · doi:10.48550/arxiv.2506.14347 · Cited by 1
“Similarly, an open source tool was developed to study the effects of nematic interactions used for the analysis of real membranous systems [30].”
Inward and Outward Tethers Read Out the Spontaneous Curvature of Cellular Membranes
Geiger, B. J., Ascanio, L. E. H., Drakouli, E., Ruhoff, V. T., Klasner, N., Baroojii, Y. F., Moreno-Pescador, G., Schjoldager, K., Joshi, H., Narimatsu, Y., et al. (2026) · bioRxiv · doi:10.64898/2026.07.31.742037
“The simulation model uses an internal length scale, 𝑙 )*+ , which can be converted to physical units for the biological system of interest (see below, Methods, and other examples in Ref.”
InfluentialSelf-citationEndophilin A1 shapes size preference of cancer cells for nanoparticle endocytosis
Luo, Y., Shao, M., Tang, Y., Li, Y., Xu, J., Lu, Y., Zhu, Z., Sun, H., Sha, X., Ma, X., et al. (2026) · Cell Biomaterials · doi:10.1016/j.celbio.2026.100552
Hensgens, M., Sun, H.-C., Peters, B., de Gruiter, H. D., Slotman, J., Idema, T., & Geertsema, H. (2026) · bioRxiv · doi:10.64898/2026.07.17.739104
“26 In contrast to standard DTS simulations of fluid membranes, only vertex displacement moves are allowed in the present model.”
SIMCROST: A Simulator for Understanding the Spatial Regulation in Cross‐Membrane Signal Transduction
Su, Z.-Q., Deng, E., & Wu, Y.-H. (2026) · ChemBioChem · doi:10.1002/cbic.70435
The Shape of No Escape: Membrane Self‐Organization Under Confinement
Mayorga, L. S., Mascotti, M. L., & Masone, D. (2026) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.70080
MesoMem: A mesoscale membrane model based on an additive potential.
Sillano, P., Marrink, S., & Idema, T. (2026) · Physical Review E · doi:10.1103/4dhv-8xd7
“These discretized models often employ a Monte Carlo scheme to sample the equilibrium configuration of the system [6–8].”
Coupling anisotropic curvature and nematic order: mechanisms of membrane shape remodeling.
Ravid, Y., Penič, S., Mesarec, L., Gov, N., Kralj-Iglič, V., Iglič, A., & Drab, M. (2025) · Soft Matter · doi:10.1039/d5sm00620a
“34 However, studies of membrane deformation that include anisotropic CMCs in combination with the constraint of fixed volume remain poorly understood and to our knowledge, lacking.”
- Authors
- Pezeshkian, W., & Ipsen, J. H.
- Affiliations
- University of Copenhagen (DK)
- University of Southern Denmark (DK)
- Corresponding author
- Pezeshkian, Weria
- Venue
- Nature Communications
- Published
- 2024-01-16
- Volume
- 15
- Issue
- 1
- Pages
- 548-548
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10792169
- OpenAlex
- W4390904437
- Cited by
- 24
- References
- 92
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 6
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Det Frie Forskningsråd (10.46540/2064-00032B)
- Novo Nordisk Fonden (NNF22OC0079182, NNF18SA0035142)
- 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 › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Keywords
- biological membranes, membrane proteins, vesicles, membrane tension, protein organization
- MeSH terms
- Algorithms, Cell Membrane, Computer Simulation, Proteins, Software
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