Martini 3: a general purpose force field for coarse-grained molecular dynamics

VMD: visual molecular dynamics

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‘GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers’

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A smooth particle mesh Ewald method

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Polymorphic transitions in single crystals: A new molecular dynamics method

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GROMACS: Fast, flexible, and free

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Canonical sampling through velocity rescaling

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Computer "Experiments" on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones Molecules

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The MARTINI Force Field: Coarse Grained Model for Biomolecular Simulations

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The MARTINI Coarse-Grained Force Field: Extension to Proteins

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Coarse Grained Model for Semiquantitative Lipid Simulations

Marrink, S. J., de Vries, A. H., & Mark, A. E. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp036508g · Cited by 2,257

Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence

Nandi, S., Bhaduri, S., Das, D., Ghosh, P., Mandal, M., & Mitra, P. (2024) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.3c01161 · Cited by 28

Multiscale simulation of fluids: coupling molecular and continuum

Smith, E. R., & Theodorakis, P. E. (2023) · Physical Chemistry Chemical Physics · doi:10.1039/d3cp03579d · Cited by 22

Dual regulation of IP3 receptors by IP3 and PIP2 controls the transition from local to global Ca2+ signals

Ivanova, A., Atakpa‐Adaji, P., Rao, S., Martí-Solano, M., & Taylor, C. W. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.09.009 · Cited by 24

Sequence and structural determinants of RNAPII CTD phase-separation and phosphorylation by CDK7

Linhartova, K., Falginella, F. L., Mátl, M., Šebesta, M., Vácha, R., & Štefl, R. (2024) · Nature Communications · doi:10.1038/s41467-024-53305-2 · Cited by 22

Interactions of nanoparticles with living and synthetic bio-membranes

Kariuki, R., Mirihana, K. A., Penman, R., Hung, A., Meftahi, N., Bryant, G., Ramsland, P. A., Voı̈tchovsky, K., Conn, C. E., Contini, C., et al. (2025) · Chemical Society Reviews · doi:10.1039/d5cs00841g · Cited by 23

Sticky-MARTINI as a reactive coarse-grained model for molecular dynamics simulations of silica polymerization

Carvalho, A. P., Santos, S. M., Pérez‐Sánchez, G., Gouveia, J. D., Gomes, J. R. B., & Jorge, M. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00722-w · Cited by 23

On Computing Equilibrium Binding Constants for Protein–Protein Association in Membranes

Majumder, A., Kwon, S., & Straub, J. E. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00106 · Cited by 20

Unraveling membrane properties at the organelle-level with LipidDyn

Scrima, S., Tiberti, M., Campo, A., Corcelle–Termeau, E., Judith, D., Foged, M. M., Clemmensen, K. K. B., Tooze, S. A., Jäättelä, M., Maeda, K., et al. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.06.054 · Cited by 22

Determination of Elastic Parameters of Lipid Membranes with Molecular Dynamics: A Review of Approaches and Theoretical Aspects

Pinigin, K. V. (2022) · Membranes · doi:10.3390/membranes12111149 · Cited by 22

A Rigorous Framework for Calculating Protein–Protein Binding Affinities in Membranes

Blazhynska, M., Gumbart, J. C., Chen, H., Tajkhorshid, E., Roux, B., & Chipot, C. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00941 · Cited by 22

Capturing chemical reactions inside biomolecular condensates with reactive Martini simulations

Brasnett, C., Kiani, A., Sami, S., Otto, S., & Marrink, ‪. J. (2024) · Communications Chemistry · doi:10.1038/s42004-024-01234-y · Cited by 22

AlphaFold Prediction of Structural Ensembles of Disordered Proteins

Brotzakis, Z. F., Zhang, S., & Vendruscolo, M. (2023) · doi:10.1101/2023.01.19.524720 · Cited by 22

Assessment of the MARTINI 3 Performance for Short Peptide Self-Assembly

Sasselli, I. R., & Coluzza, I. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c01015 · Cited by 22

Vesicle protrusion induced by antimicrobial peptides suggests common carpet mechanism for short antimicrobial peptides

Park, P., Matsubara, D. K., Barzotto, D. R., Lima, F. S., Chaimovich, H., Marrink, ‪. J., & Cuccovia, I. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-60601-w · Cited by 21

Perpendicular crossing chains enable high mobility in a noncrystalline conjugated polymer

Coker, J. F., Moro, S., Gertsen, A. S., Shi, X., Pearce, D., van der Schelling, M. P., Xu, Y., Zhang, W., Andreasen, J. W., Snyder, C. R., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2403879121 · Cited by 21

Single-molecule imaging and molecular dynamics simulations reveal early activation of the MET receptor in cells

Li, Y., Arghittu, S. M., Dietz, M. S., Hella, G. J., Haße, D., Ferraris, D. M., Freund, P., Barth, H., Iamele, L., de Jonge, H., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53772-7 · Cited by 20

Deciphering driving forces of biomolecular phase separation from simulations

Schäfer, L. V., & Stelzl, L. S. (2025) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2025.103026 · Cited by 20

Perspectives on Molecular Mechanisms of Hydrate Formation and Growth at Interfaces: A Mini-Review

Phan, A. (2025) · Energy & Fuels · doi:10.1021/acs.energyfuels.5c00942 · Cited by 21

Accurate prediction of thermoresponsive phase behavior of disordered proteins

Chakravarti, A., & Joseph, J. A. (2025) · Protein Science · doi:10.1002/pro.70284 · Cited by 21

Evaluating Coarse-Grained MARTINI Force-Fields for Capturing the Ripple Phase of Lipid Membranes

Sharma, P., Desikan, R., & Ayappa, K. G. (2021) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.1c03277 · Cited by 21

Conformational Clamping by a Membrane Ligand Activates the EphA2 Receptor

Westerfield, J. M., Sahoo, A. R., Alves, D. S., Grau, B., Cameron, A., Maxwell, M., Rybak, J. A., Souza, P. C. T., Mingarro, I., Buck, M., et al. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167144 · Cited by 21

Explicit-pH Coarse-Grained Molecular Dynamics Simulations Enable Insights into Restructuring of Intestinal Colloidal Aggregates with Permeation Enhancers

Hossain, S., Parrow, A., Kabedev, A., Kneiszl, R., Leng, Y., & Larsson, P. (2021) · Processes · doi:10.3390/pr10010029 · Cited by 21

Current and Emerging Tools of Computational Biology To Improve the Detoxification of Mycotoxins

Sandlin, N., Kish, D. R., Kim, J., Zaccaria, M., & Momeni, B. (2021) · Applied and Environmental Microbiology · doi:10.1128/aem.02102-21 · Cited by 21

Effects of cholesterol on the mechanism of fengycin, a biofungicide

Sur, S., & Grossfield, A. M. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.04.006 · Cited by 21

Computer Aided Development of Nucleic Acid Applications in Nanotechnologies

Paloncýová, M., Pykal, M., Kührová, P., Banáš, P., Šponer, J., & Otyepka, M. (2022) · Small · doi:10.1002/smll.202204408 · Cited by 21

Structural insights into light-driven anion pumping in cyanobacteria

Astashkin, R., Kovalev, K., Bukhdruker, S. S., Vaganova, S., Kuzmin, A., Alekseev, A. A., Balandin, T. G., Zabelskii, D. V., Gushchin, I., Royant, A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34019-9 · Cited by 21

Capturing coacervate formation and protein partition by molecular dynamics simulation

Liu, Y., Wang, X., Wan, Z., Ngai, T., & Tse, Y. S. (2022) · Chemical Science · doi:10.1039/d2sc01164f · Cited by 23

Enhanced antifouling properties of marine antimicrobial peptides by PEGylation

Lou, T., Bai, X., He, X., Liu, W., Yang, Z., Yang, Y., & Yuan, C. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1124389 · Cited by 21

Prediction of Electronic Properties of Radical-Containing Polymers at Coarse-Grained Resolutions

Alessandri, R., & Pablo, J. (2023) · Macromolecules · doi:10.1021/acs.macromol.3c00141 · Cited by 21

Investigating the Hydrogen Bond-Induced Self-Assembly of Polysulfamides Using Molecular Simulations and Experiments

Wu, Z., Wu, J. W., Michaudel, Q., & Jayaraman, A. (2023) · Macromolecules · doi:10.1021/acs.macromol.3c01093 · Cited by 21

Effect of Oil Polarity on the Protein Adsorption at Oil–Water Interfaces

Yu, H., Qin, L., & Zhou, J. W. (2023) · Langmuir · doi:10.1021/acs.langmuir.3c01541 · Cited by 21

MDverse, shedding light on the dark matter of molecular dynamics simulations

Tiemann, J. K. S., Szczuka, M., Bouarroudj, L., Oussaren, M., Garcia, S., Howard, R. J., Delemotte, L., Lindahl, E. R., Baaden, M., Lindorff‐Larsen, K., et al. (2023) · eLife · doi:10.7554/elife.90061 · Cited by 42

How Domain Segregation in Ionic Liquids Stabilizes Nanoparticles and Establishes Long-Range Ordering─A Computational Study

Bernardino, K. (2024) · ACS Nano · doi:10.1021/acsnano.4c04581 · Cited by 21

An Overview of Several Inhibitors for Alzheimer’s Disease: Characterization and Failure

Boopathi, S., Poma, A. B., & Garduño‐Juárez, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910798 · Cited by 20

Advances in Computational Approaches for Estimating Passive Permeability in Drug Discovery

Bernardi, A., Bennett, W. F., He, S., Jones, D., Kirshner, D. A., Bennion, B. J., & Carpenter, T. S. (2023) · Membranes · doi:10.3390/membranes13110851 · Cited by 22

Development of nano-delivery systems for loaded bioactive compounds: using molecular dynamics simulations

Chen, L., & Hu, J. (2024) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2023.2301427 · Cited by 20

Supramolecular chemistry of cellulose-based electrolytes

Zeng, S., Qin, Q., Jiang, S., Duan, G., Yu, R., He, S., Zhang, C., Han, X., Liao, X., Han, J., et al. (2025) · eScience · doi:10.1016/j.esci.2025.100511 · Cited by 21

Temperature-Transferable Coarse-Grained Model for Poly(propylene oxide) to Study Thermo-Responsive Behavior of Triblock Copolymers

Elahi, A., Bidault, X., & Chaudhuri, S. (2022) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.1c06318 · Cited by 21

Molecular dynamics simulation: A new way to understand the functionality of the endothelial glycocalyx

Jiang, X. Z., & Ventikos, Y. (2022) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2022.102330 · Cited by 20

Role of density and electrostatic interactions in the viscosity and non-newtonian behavior of ionic liquids – a molecular dynamics study

Bernardino, K., & Ribeiro, M. C. C. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp05692a · Cited by 20

Synaptotagmin-1 C2B domains cooperatively stabilize the fusion stalk via a master-servant mechanism

Bartolo, A. L. D., & Masone, D. (2022) · Chemical Science · doi:10.1039/d1sc06711g · Cited by 20

Bringing Quantum Mechanics to Coarse-Grained Soft Materials Modeling

Wang, C.-I., & Jackson, N. E. (2023) · Chemistry of Materials · doi:10.1021/acs.chemmater.2c03712 · Cited by 23

Size-dependent shape characteristics of 2D crystal blisters

Rao, Y., Kim, E., Dai, Z., He, J., Li, Y., & Lu, N. (2023) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2023.105286 · Cited by 20

Optimized OPEP Force Field for Simulation of Crowded Protein Solutions

Timr, Š., Melchionna, S., Derreumaux, P., & Sterpone, F. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c00253 · Cited by 21

Computational Modeling of DNA 3D Structures: From Dynamics and Mechanics to Folding

Mu, Z.-C., Tan, Y.-L., Liu, J., Zhang, B., & Shi, Y.-Z. (2023) · Molecules · doi:10.3390/molecules28124833 · Cited by 21

Bartender: Martini 3 Bonded Terms via Quantum Mechanics-Based Molecular Dynamics

Pereira, G. P., Alessandri, R., Domínguez, M., Araya‐Osorio, R., Grünewald, L., Borges-Araújo, L., Wu, S., Marrink, ‪. J., Souza, P. C. T., & Mera‐Adasme, R. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.4c00275 · Cited by 21

Molecular Dynamics Simulations Elucidate the Molecular Organization of Poly(beta-amino ester) Based Polyplexes for siRNA Delivery

Steinegger, K. M., Allmendinger, L., Sturm, S., Sieber‐Schäfer, F., Kromer, A. P. E., Müller‐Caspary, K., Winkeljann, B., & Merkel, O. M. (2024) · Nano Letters · doi:10.1021/acs.nanolett.4c04291 · Cited by 21

Recalibration of MARTINI-3 Parameters for Improved Interactions between Peripheral Proteins and Lipid Bilayers

Soni, J., Gupta, S., & Mandal, T. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.4c00645 · Cited by 19

Recent Progress in Modeling and Simulation of Biomolecular Crowding and Condensation Inside Cells

Mathur, A., Ghosh, R., & Nunes‐Alves, A. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c01520 · Cited by 20

Adipogenin promotes the development of lipid droplets by binding a dodecameric seipin complex

Li, C., Sun, X., Funcke, J., Vanharanta, L., Prasanna, X., Gov, K., Li, Y., Virostek, M., Joung, C., Joffin, N., et al. (2025) · Science · doi:10.1126/science.adr9755 · Cited by 28

Molecular mechanism of CD44 homodimerization modulated by palmitoylation and membrane environments

Ma, Z., Shi, S., Ren, M., Pang, C., Zhan, Y., An, H., & Sun, F. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.06.021 · Cited by 19

Immunoinformatic design of a putative multi-epitope vaccine candidate against Trypanosoma brucei gambiense

Danazumi, A. U., Gital, S. I., Idris, S., Dibba, L. B. S., Balogun, E. O., & Górna, M. W. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.10.002 · Cited by 19

Transmembrane dimers of type 1 receptors sample alternate configurations: MD simulations using coarse grain Martini 3 versus AlphaFold2 Multimer

Sahoo, A. R., Souza, P. C. T., Meng, Z., & Buck, M. (2023) · Structure · doi:10.1016/j.str.2023.03.014 · Cited by 19

Anomalous lateral diffusion of lipids during the fluid/gel phase transition of a lipid membrane

Kumar, A., & Daschakraborty, S. (2023) · Physical Chemistry Chemical Physics · doi:10.1039/d3cp04081j · Cited by 21

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Rossetti, P., Trollmann, M. F. W., Wichmann, C., Gutsmann, T., Eggeling, C., & Böckmann, R. A. (2026) · Small · doi:10.1002/smll.202411476 · Cited by 25

Molecular view of ER membrane remodeling by the Sec61/TRAP translocon

Karki, S., Javanainen, M., Rehan, S., Tranter, D., Kellosalo, J., Huiskonen, J. T., Happonen, L., & Paavilainen, V. (2023) · The EMBO Reports · doi:10.15252/embr.202357910 · Cited by 25

An integrative modelling approach to the mitochondrial cristae

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Molecular dynamics simulations of biological membranes and membrane-associated phenomena across scales

Trebesch, N., Hasdemir, H. S., Chen, T., Wen, P., & Tajkhorshid, E. (2025) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2025.103071 · Cited by 18

Lipids modulate the dynamics of GPCR:β-arrestin interaction

Gomes, A. A. S., Michele, M. D., Roessner, R. A., Damian, M., Bisch, P. M., Sibille, N., Louet, M., Banères, J., & Floquet, N. (2025) · Nature Communications · doi:10.1038/s41467-025-59842-8 · Cited by 18

Modulation of adenosine A2a receptor oligomerization by receptor activation and PIP2 interactions

Song, W., Duncan, A. L., & Sansom, M. S. P. (2021) · Structure · doi:10.1016/j.str.2021.06.015 · Cited by 20

Automatic multi-objective optimization of coarse-grained lipid force fields using SwarmCG

Empereur‐mot, C., Capelli, R., Perrone, M., Caruso, C., Doni, G., & Pavan, G. M. (2022) · The Journal of Chemical Physics · doi:10.1063/5.0079044 · Cited by 18

Protein dynamics and lipid affinity of monomeric, zeaxanthin-binding LHCII in thylakoid membranes

Azadi-Chegeni, F., Thallmair, S., Ward, M. E., Perin, G., Marrink, ‪. J., Baldus, M., Morosinotto, T., & Pandit, A. (2021) · Biophysical Journal · doi:10.1016/j.bpj.2021.12.039 · Cited by 18

Martini 3 Model of Cellulose Microfibrils: On the Route to Capture Large Conformational Changes of Polysaccharides

Moreira, R. A., Weber, S. A. L., & Poma, A. B. (2022) · Molecules · doi:10.3390/molecules27030976 · Cited by 18

Manipulating Organic Semiconductor Morphology with Visible Light

Sørensen, M. K., Gertsen, A. S., Fornari, R. P., Zhou, B., Zhang, X., Jepsen, P. U., Stanzani, E., Yun, S., Castro, M. F., Schwartzkopf, M., et al. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202212835 · Cited by 18

A Review of the Mechanical Properties of Graphene Aerogel Materials: Experimental Measurements and Computer Simulations

Qi, P., Zhu, H., Borodich, F. M., & Peng, Q. (2023) · Materials · doi:10.3390/ma16051800 · Cited by 18

Computational Design of Peptides for Biomaterials Applications

Wang, Y., Stebe, K. J., de la Fuente‐Núñez, C., & Radhakrishnan, R. (2023) · ACS Applied Bio Materials · doi:10.1021/acsabm.2c01023 · Cited by 19

Allosteric inhibition of the epidermal growth factor receptor through disruption of transmembrane interactions

Rybak, J. A., Sahoo, A. R., Kim, S., Pyron, R. J., Pitts, S. B., Guleryuz, S., Smith, A. W., Buck, M., & Barrera, F. N. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.104914 · Cited by 18

Identification of inhibitors targeting the energy-coupling factor (ECF) transporters

Diamanti, E., Souza, P. C. T., Setyawati, I., Bousis, S., Monjas, L., Swier, L. J. Y. M., Shams, A., Tsarenko, A., Stanek, W. K., Jäger, M., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05555-x · Cited by 18

Euglena’s atypical respiratory chain adapts to the discoidal cristae and flexible metabolism

He, Z., Wu, M., Tian, H., Wang, L., Hu, Y., Han, F., Zhou, J., Wang, Y., & Zhou, L. (2024) · Nature Communications · doi:10.1038/s41467-024-46018-z · Cited by 18

Switching Go-Martini for Investigating Protein Conformational Transitions and Associated Protein–Lipid Interactions

Yang, S., & Song, C. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c01222 · Cited by 18

Unbiased MD simulations identify lipid binding sites in lipid transfer proteins

Srinivasan, S., Álvarez, D., Peter, A. T. J., & Vanni, S. (2024) · The Journal of Cell Biology · doi:10.1083/jcb.202312055 · Cited by 22

Microphase separation produces interfacial environment within diblock biomolecular condensatesPreprint

Latham, A. P., Zhu, L., Sharon, D. A., Ye, S., Willard, A. P., Zhang, X., & Zhang, B. (2023) · eLife · doi:10.7554/elife.90750 · Cited by 16

Lipid organization by the Caveolin-1 complex

Liebl, K., & Voth, G. A. (2024) · Biophysical Journal · doi:10.1016/j.bpj.2024.09.018 · Cited by 17

Applying Spatiotemporal Modeling of Cell Dynamics to Accelerate Drug Development

Chen, X., Xu, S., Chu, B., Guo, J., Zhang, H.-K., Sun, S.-Y., Song, L., & Feng, X. (2024) · ACS Nano · doi:10.1021/acsnano.4c12599 · Cited by 16

Effects of Membrane Cholesterol on the Structure and Function of Selected Class A GPCRs─Challenges and Future Perspectives

Christofidi, M., Tzortzini, E., Mavromoustakos, T., & Kolocouris, A. (2025) · Biochemistry · doi:10.1021/acs.biochem.5c00145 · Cited by 20

Dry electrode architecture design to push energy density limits at the cell level

Zhang, M., Stoychev, B. K., Zhang, X., Yao, W., Wang, S., Chouchane, M., Park, N. R., Huang, C., Jakhar, R., Raghavendran, G., et al. (2026) · Nature Energy · doi:10.1038/s41560-026-01981-3 · Cited by 17

Applications of molecular dynamics simulations in drug discovery

Lin, X. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90264-9.00027-1 · Cited by 17

Ab initio predictions for 3D structure and stability of single- and double-stranded DNAs in ion solutions

Mu, Z.-C., Tan, Y.-L., Zhang, B., Liu, J., & Shi, Y.-Z. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010501 · Cited by 17

Membrane curvature sensing by model biomolecular condensates

Anila, M. M., Ghosh, R., & Różycki, B. (2023) · Soft Matter · doi:10.1039/d3sm00131h · Cited by 17

Expulsion mechanism of the substrate-translocating subunit in ECF transporters

Thangaratnarajah, C., Nijland, M., Borges-Araújo, L., Jeucken, A., Rheinberger, J., Marrink, ‪. J., Souza, P. C. T., Paulino, C., & Slotboom, D. J. (2023) · Nature Communications · doi:10.1038/s41467-023-40266-1 · Cited by 17

CGCompiler: Automated Coarse-Grained Molecule Parametrization via Noise-Resistant Mixed-Variable Optimization

Stroh, K. S., Souza, P. C. T., Monticelli, L., & Risselada, H. J. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00637 · Cited by 18

Unraveling mechanisms of protein encapsulation and release in coacervates via molecular dynamics and machine learning

Wang, Y., Zou, R., Zhou, Y., Zheng, Y. Z., Peng, C., Liu, Y., Tan, H. S., Fu, Q., & Ding, M.-M. (2024) · Chemical Science · doi:10.1039/d4sc03061c · Cited by 18

Can pulmonary RNA delivery improve our pandemic preparedness?

Merkel, O. M. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.03.039 · Cited by 17

Structural and functional basis of mechanosensitive TMEM63 channelopathies

Wang, Z., Lowry, A. J., Smith, H. E., Xie, J., Rawson, S., Wang, C., Ou, J., Sotomayor, M. M., Fu, T., Yang, H., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.05.009 · Cited by 17

Mechanistic modeling of lipid nanoparticle formation for the delivery of nucleic acid therapeutics

Inguva, P., Mukherjee, S., Walker, P. J., Tenberg, V., Devos, C., Shin, S., Wu, Y., Santra, S., Wang, J., Singh, S., et al. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2025.108643 · Cited by 19

Martini 3 coarse-grained force field for poly( para -phenylene ethynylene)s

Brosz, M., Michelarakis, N., Bunz, U. H. F., Aponte-Santamaria, C. A., & Gräter, F. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp04237h · Cited by 16

The guidance and adhesion protein FLRT2 dimerizes in cis via dual small-X3-small transmembrane motifs

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