Evidence map›Paper›PMID 29570700›Full record

ArticlePLoS computational biology2018

Fluctuating Finite Element Analysis (FFEA): A continuum mechanics software tool for mesoscale simulation of biomolecules.

Albert Solernou, Benjamin S Hanson, Robin A Richardson, Robert Welch, Daniel J Read, Oliver G Harlen, Sarah A Harris

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  2. Article
  3. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Whole-Cell Models and Simulations in Molecular Detail.Annual review of cell and developmental biology · 2019
    Review
  10. Review
  11. 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

7 authors.

Albert SolernouSchool of Physics and Astronomy, University of Leeds, Leeds, United Kingdom.
Benjamin S HansonSchool of Physics and Astronomy, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-6079-4506
Robin A RichardsonSchool of Chemistry, University College London, London, United Kingdom.ORCID 0000-0002-9984-2720
Robert WelchSchool of Physics and Astronomy, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-0135-0112
Daniel J ReadSchool of Mathematics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-1194-9273
Oliver G HarlenSchool of Mathematics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-4593-3547
Sarah A HarrisSchool of Physics and Astronomy, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-2812-1651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluctuating Finite Element Analysis (FFEA) is a software package designed to perform continuum mechanics simulations of proteins and other globular macromolecules. It combines conventional finite element methods with stochastic thermal noise, and is appropriate for simulations of large proteins and protein complexes at the mesoscale (length-scales in the range of 5 nm to 1 μm), where there is currently a paucity of modelling tools. It requires 3D volumetric information as input, which can be low resolution structural information such as cryo-electron tomography (cryo-ET) maps or much higher resolution atomistic co-ordinates from which volumetric information can be extracted. In this article we introduce our open source software package for performing FFEA simulations which we have released under a GPLv3 license. The software package includes a C ++ implementation of FFEA, together with tools to assist the user to set up the system from Electron Microscopy Data Bank (EMDB) or Protein Data Bank (PDB) data files. We also provide a PyMOL plugin to perform basic visualisation and additional Python tools for the analysis of FFEA simulation trajectories. This manuscript provides a basic background to the FFEA method, describing the implementation of the core mechanical model and how intermolecular interactions and the solvent environment are included within this framework. We provide prospective FFEA users with a practical overview of how to set up an FFEA simulation with reference to our publicly available online tutorials and manuals that accompany this first release of the package.

Indexed as

Finite Element AnalysisProteinsSoftwareComputational BiologyMolecular Dynamics SimulationProtein BindingProteins

Identifiers

PMID29570700
PMCPMC5891030

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.