Evidence map›Paper›PMID 27016332›Full record

ArticleThe journal of physical chemistry. B2016

Markovian and Non-Markovian Modeling of Membrane Dynamics with Milestoning.

Alfredo E Cardenas, Ron Elber

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Statistical Mechanical Theories of Membrane Permeability.The journal of physical chemistry. B · 2024
    Article
  3. Article
  4. Article
  5. Protein storytelling through physics.Science (New York, N.Y.) · 2020
    Review
  6. Article
  7. Article
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

2 authors.

Alfredo E CardenasInstitute for Computational Engineering and Sciences and ‡Department of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States.
Ron ElberInstitute for Computational Engineering and Sciences and ‡Department of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States.

Funding

LONG TIME DYNAMICS OF BIOMOLECULESR01GM059796 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELBER, RON · 2000 to 2021
$5.7M
NIGMS NIH HHS R01 GM059796
6 · The paper itself

Abstract

We exploit atomically detailed simulations and the milestoning theory to extract coarse grained models of membrane kinetics and thermodynamics. Non-Markovian and Markovian theories for the phosphate group displacements are used to coarsely represent membrane motions. The construction of the two models makes it possible to examine their consistency and accuracy. The equilibrium and fluctuations of the phosphate groups along the normal to the membrane plane are estimated, and milestoning equations are constructed and solved. An optimal Markovian model is constructed that reproduces exactly the equilibrium and mean first passage time (MFPT) of the non-Markovian model. The equilibrium solution of both models is favorably compared to distributions obtained from straightforward molecular dynamics simulations. The picture for the kinetics is complex. Multiple local relaxation times of the mass density are illustrated emphasizing the non-Markovian characteristics of the process. In Markovian modeling, only a single relaxation time is assumed for a state. Mapping of particle dynamics to the dynamics of a field density offers a new way of coarse graining complex systems as membranes that may bridge between atomically detailed models and phenomenological descriptions of macroscopic membranes.

Indexed as

Molecular Dynamics SimulationKineticsLipid BilayersMarkov ChainsPhosphatidylcholinesThermodynamicsWater1,2-oleoylphosphatidylcholineLipid BilayersPhosphatidylcholinesWater

Identifiers

PMID27016332
PMCPMC5001947

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.