Evidence map›Paper›PMID 26574390›Full record

ArticleJournal of chemical theory and computation2015

Protein Simulations in Fluids: Coupling the OPEP Coarse-Grained Force Field with Hydrodynamics.

Fabio Sterpone, Philippe Derreumaux, Simone Melchionna

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  14. Computational Models for the Study of Protein Aggregation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Assessing the Role of Calmodulin's Linker Flexibility in Target Binding.International journal of molecular sciences · 2021
    Article
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fabio SterponeLaboratoire de Biochimie Théorique, IBPC, CNRS UPR9080, Univ. Paris Diderot , Sorbonne Paris Cité, 13 rue Pierre et Marie Curie, 75005 Paris, France.
Philippe DerreumauxLaboratoire de Biochimie Théorique, IBPC, CNRS UPR9080, Univ. Paris Diderot , Sorbonne Paris Cité, 13 rue Pierre et Marie Curie, 75005 Paris, France.
Simone MelchionnaCNR-IPCF, Consiglio Nazionale delle Ricerche, Rome, Italy.

Funding

European Research Council 258748
6 · The paper itself

Abstract

A novel simulation framework that integrates the OPEP coarse-grained (CG) model for proteins with the Lattice Boltzmann (LB) methodology to account for the fluid solvent at mesoscale level is presented. OPEP is a very efficient, water-free and electrostatic-free force field that reproduces at quasi-atomistic detail processes like peptide folding, structural rearrangements, and aggregation dynamics. The LB method is based on the kinetic description of the solvent in order to solve the fluid mechanics under a wide range of conditions, with the further advantage of being highly scalable on parallel architectures. The capabilities of the approach are presented, and it is shown that the strategy is effective in exploring the role of hydrodynamics on protein relaxation and peptide aggregation. The end result is a strategy for modeling systems of thousands of proteins, such as in the case of dense protein suspensions. The future perspectives of the multiscale approach are also discussed.

Indexed as

Amyloid beta-PeptidesHydrodynamicsMolecular Dynamics SimulationPeptide FragmentsProteinsWaterAmyloid beta-Peptidesamyloid beta-protein (16-22)Peptide FragmentsProteinsWater

Identifiers

PMID26574390
PMCPMC5242371

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Registered trials

None linked

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.