ArticleJournal of chemical theory and computation2017
A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution.
Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Challenges and opportunities in computational studies for lipid nanoparticle development.npj drug discovery · 2025Review
- Interplay of Hydrophobicity, Charge, and Sequence Length in Oligopeptide Coassembly.The journal of physical chemistry. B · 2025Article
- Evaluation of Essential Dynamics and Fixed-Length Coarse Graining for Multidomain Proteins.The journal of physical chemistry. B · 2024Article
- Simulations of Functional Motions of Super Large Biomolecules with a Mixed-Resolution Model.Journal of chemical theory and computation · 2024Article
- From Milliseconds to Minutes: Melittin Self-Assembly from Concerted Non-Equilibrium Pressure-Jump and Equilibrium Relaxation Nuclear Magnetic Resonance.The journal of physical chemistry letters · 2024Article
- Multiscale Simulations to Discover Self-Assembled Oligopeptides: A Benchmarking Study.Journal of chemical theory and computation · 2024Article
- Millisecond Time-Resolved Solid-State NMR Initiated by Rapid Inverse Temperature Jumps.Journal of the American Chemical Society · 2022Article
- Ligand-protein interactions in lysozyme investigated through a dual-resolution model.Proteins · 2020Article
- Calculating the absolute binding free energy of the insulin dimer in an explicit solvent.RSC advances · 2020Article
- Application of millisecond time-resolved solid state NMR to the kinetics and mechanism of melittin self-assembly.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- From quantum to subcellular scales: multi-scale simulation approaches and the SIRAH force field.Interface focus · 2019Review
- Assessment of Conformational State Transitions of Class B GPCRs Using Molecular Dynamics.Methods in molecular biology (Clifton, N.J.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
We introduce a new mixed resolution, all-atom/coarse-grained approach (AACG), for modeling peptides in aqueous solution and apply it to characterizing the aggregation of melittin. All of the atoms in peptidic components are represented, while a single site is used for each water molecule. With the full flexibility of the peptide retained, our AACG method achieves speedups by a factor of 3-4 for CPU time reduction and another factor of roughly 7 for diffusion. An Ewald treatment permits the inclusion of long-range electrostatic interactions. These characteristics fit well with the requirements for studying peptide association and aggregation, where the system sizes and time scales require considerable computational resources with all-atom models. In particular, AACG is well suited for biologics since changes in peptide shape and long-range electrostatics may play an important role. The application of AACG to melittin, a 26-residue peptide with a well-known propensity to aggregate in solution, serves as an initial demonstration of this technology for studying peptide aggregation. We observed the formation of melittin aggregates during our simulations and characterized the time-evolution of aggregate size distribution, buried surface areas, and residue contacts. Key interactions including π-cation and π-stacking involving TRP19 were also examined. Our AACG simulations demonstrated a clear salt effect and a moderate temperature effect on aggregation and support the molten globule model of melittin aggregates. As a showcase, this work illustrates the useful role for AACG in investigations of peptide aggregation and its potential to guide formulation and design of biologics.
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.