ArticleJournal of chemical theory and computation2024
Changing Your Martini Can Still Give You a Hangover.
Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Computational Characterization of the Role of LEM2/LaminA Interactions on the Stability of BAF-Dimer Using Molecular Simulations.Proteins · 2026Article
- Fitting coarse-grained models to macroscopic experimental data via automatic differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Martini 3 as a Transferable Force Field for Lipopolysaccharide Parametrization.The journal of physical chemistry. B · 2026Article
- Lattice instability drives formation of protofilament clusters at the microtubule plus-end tips.Biophysical journal · 2026Article
- Improving Conformational Ensembles of Folded Proteins in Go̅Martini.Journal of chemical theory and computation · 2026Article
- A tutorial for mesoscale computer simulations of lipid membranes: tether pulling, tubulation and fluctuations.Soft matter · 2025Review
- Martini 3 Limitations in Phospholipid Flip-Flop.Journal of chemical theory and computation · 2025Article
- Bottom-up Coarse-Grained Models of Asymmetric Membranes.The journal of physical chemistry. B · 2025Article
- Membrane remodeling by the caveolin-1 8s oligomeric complex.Biophysical journal · 2025Article
- Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network.Journal of chemical theory and computation · 2025Article
- Microtubules in Martini: Parameterizing a heterogeneous elastic-network towards a mechanically accurate microtubule.PNAS nexus · 2025Article
- A Hybrid Bottom-Up and Data-Driven Machine Learning Approach for Accurate Coarse-Graining of Large Molecular Complexes.Journal of chemical theory and computation · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
The Martini 3.0 coarse-grained force field, which was parametrized to better capture transferability in top-down coarse-grained models, is analyzed to assess its accuracy in representing thermodynamic and structural properties with respect to the underlying atomistic representation of the system. These results are compared to those obtained following the principles of statistical mechanics that start from the same underlying atomistic system. To this end, the potentials of mean force for lateral association in Martini 3.0 binary lipid bilayers are decomposed into their entropic and enthalpic components and compared to those of corresponding atomistic bilayers that have been projected onto equivalent coarse-grained mappings but evolved under the fully atomistic forces. This is accomplished by applying the reversible work theorem to lateral pair correlation functions between coarse-grained lipid beads taken at a range of different temperatures. The entropy-enthalpy decompositions provide a metric by which the underlying statistical mechanical properties of Martini can be investigated. Overall, Martini 3.0 is found to fail to properly partition entropy and enthalpy for the PMFs compared to the mapped all-atom results, despite changes made to the force field from the Martini 2.0 version. This outcome points to the fact that the development of more accurate top-down coarse-grained models such as Martini will likely necessitate temperature-dependent terms in the corresponding CG force-field; although necessary, this may not be sufficient to improve Martini. In addition to the entropy-enthalpy decompositions, Martini 3.0 produces an incorrect undulation spectrum, in particular at intermediate length scales of biophysical pertinence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.