ArticleJournal of chemical theory and computation2024
Assessment of the MARTINI 3 Performance for Short Peptide Self-Assembly.
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 11 papers.
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Who cites it
11 citing papers in PubMed.
- Amphipathic β‑Sheet-Forming Octapeptide Self-Assembly Using the Martini Potential Family.ACS omega · 2026Article
- Multi-Site Aggregation of p53: Insights from Self- and Co-Aggregation of Multiple Aggregation-Prone Regions.ACS omega · 2026Article
- Article
- Secondary Structure Bead-Encoded Amphiphilicity Biases Peptide Self-Assembly Prediction in MARTINI Coarse-Grained Simulations.ACS applied materials & interfaces · 2026Article
- Peptide Electrostatic Modulation Directs Human Neural Cell Fate.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- MA(R/S)TINI 3: An Enhanced Coarse-Grained Force Field for Accurate Modeling of Cyclic Peptide Self-Assembly and Membrane Interactions.Journal of chemical theory and computation · 2025Article
- Interplay of Hydrophobicity, Charge, and Sequence Length in Oligopeptide Coassembly.The journal of physical chemistry. B · 2025Article
- Sequence and structural determinants of RNAPII CTD phase-separation and phosphorylation by CDK7.Nature communications · 2024Article
- Wild-Type α-Synuclein Structure and Aggregation: A Comprehensive Coarse-Grained and All-Atom Molecular Dynamics Study.Journal of chemical information and modeling · 2024Article
- Review
- Martini on the Rocks: Can a Coarse-Grained Force Field Model Crystals?The journal of physical chemistry letters · 2024Article
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Authors and funding
2 authors.
Funding
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Abstract
The coarse-grained MARTINI force field, initially developed for membranes, has proven to be an exceptional tool for investigating supramolecular peptide assemblies. Over the years, the force field underwent refinements to enhance accuracy, enabling, for example, the reproduction of protein-ligand interactions and constant pH behavior. However, these protein-focused improvements seem to have compromised its ability to model short peptide self-assembly. In this study, we assess the performance of MARTINI 3 in reproducing peptide self-assembly using the well-established diphenylalanine (FF) as our test case. Unlike its success in version 2.1, FF does not even exhibit aggregation in version 3. By systematically exploring parameters for the aromatic side chains and charged backbone beads, we established a parameter set that effectively reproduces tube formation. Remarkably, these parameter adjustments also replicate the self-assembly of other di- and tripeptides and coassemblies. Furthermore, our analysis uncovers pivotal insights for enhancing the performance of MARTINI in modeling short peptide self-assembly. Specifically, we identify issues stemming from overestimated hydrophilicity arising from charged termini and disruptions in π-stacking interactions due to insufficient planarity in aromatic groups and a discrepancy in intermolecular distances between this and backbone-backbone interactions. This investigation demonstrates that strategic modifications can harness the advancements offered by MARTINI 3 for the realm of short peptide self-assembly.
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