Evidence map›Paper›PMID 33523249›Full record

ArticleEuropean biophysics journal : EBJ2021

Inferring functional units in ion channel pores via relative entropy.

Michael Schmidt, Indra Schroeder, Daniel Bauer, Gerhard Thiel, Kay Hamacher

Abstract read
In one paragraph

Article in European biophysics journal : EBJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Modular architecture of KEMBO reports · 2025
    Review
  2. 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

5 authors.

Michael SchmidtDepartment of Physics, TU Darmstadt, Karolinenpl. 5, 64289, Darmstadt, Germany.
Indra SchroederDepartment of Biology, TU Darmstadt, Schnittspahnstr. 10, 64287, Darmstadt, Germany.
Daniel BauerDepartment of Biology, TU Darmstadt, Schnittspahnstr. 10, 64287, Darmstadt, Germany.
Gerhard ThielDepartment of Biology, TU Darmstadt, Schnittspahnstr. 10, 64287, Darmstadt, Germany. thiel@bio.tu-darmstadt.de.ORCID http://orcid.org/0000-0002-2335-1351
Kay HamacherDepartment of Physics, Department of Biology, Department of Computer Science, TU Darmstadt, Schnittspahnstr. 10, 64287, Darmstadt, Germany.

Funding

Deutsche Forschungsgemeinschaft GRK 1657H2020 European Research Council 695078
6 · The paper itself

Abstract

Coarse-grained protein models approximate the first-principle physical potentials. Among those modeling approaches, the relative entropy framework yields promising and physically sound results, in which a mapping from the target protein structure and dynamics to a model is defined and subsequently adjusted by an entropy minimization of the model parameters. Minimization of the relative entropy is equivalent to maximization of the likelihood of reproduction of (configurational ensemble) observations by the model. In this study, we extend the relative entropy minimization procedure beyond parameter fitting by a second optimization level, which identifies the optimal mapping to a (dimension-reduced) topology. We consider anisotropic network models of a diverse set of ion channels and assess our findings by comparison to experimental results.

Indexed as

EntropyIon ChannelsModels, MolecularIon ChannelsAnisotropic network modelMechanical coupling relative entropyPotassium channel (pores)

Identifiers

PMID33523249
PMCPMC7872957

What OpenQuestion holds

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Registered trials

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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.