ArticleAccounts of chemical research2023
Short Peptide Self-Assembly in the Martini Coarse-Grain Force Field Family.
Article in Accounts of chemical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 50 citations in OpenAlex.
- 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
- 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
- Article
- Dissecting Hidden Liraglutide Oligomerization Pathways via Direct Mass Technology, Electron-Capture Dissociation, and Molecular Dynamics.Analytical chemistry · 2025Article
- Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learning.Science advances · 2025Article
- 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
- Tuning the Dimensionality of Protein-Peptide Coassemblies to Build 2D Conductive Nanomaterials.ACS nano · 2025Article
- Coarse-grained molecular dynamics investigation on the interaction between κ- and β-casein aggregates and curcumin.PloS one · 2025Article
- Coarse-Grained Simulation Study of the Association of Selected Dipeptides.The journal of physical chemistry. B · 2024Article
- Sequence and structural determinants of RNAPII CTD phase-separation and phosphorylation by CDK7.Nature communications · 2024Article
- Review
- Martini on the Rocks: Can a Coarse-Grained Force Field Model Crystals?The journal of physical chemistry letters · 2024Article
- Multiscale Simulations to Discover Self-Assembled Oligopeptides: A Benchmarking Study.Journal of chemical theory and computation · 2024Article
- Assessment of the MARTINI 3 Performance for Short Peptide Self-Assembly.Journal of chemical theory and computation · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pivotal to the success of any computational experiment is the ability to make reliable predictions about the system under study and the time required to yield these results. Biomolecular interactions is one area of research that sits in every camp of resolution vs the time required, from the quantum mechanical level to
Indexed as
Identifiers
What OpenQuestion holds
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.