Evidence map›Paper›PMID 30453632›Full record

ArticleMolecules (Basel, Switzerland)2018

Towards a Stochastic Paradigm: From Fuzzy Ensembles to Cellular Functions.

Monika Fuxreiter

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
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  7. Article
  8. Protein interactions: anything new?Essays in biochemistry · 2022
    Article
  9. Review
  10. Article
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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

1 author.

Monika FuxreiterMTA-DE Laboratory of Protein Dynamics, Department of Biochemistry and Molecular Biology, H-4032 Debrecen, Hungary. fmoni@med.unideb.hu.

Funding

Magyar Tudományos Akadémia 11015Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal GINOP-2.3.2-15-2016-00044
6 · The paper itself

Abstract

The deterministic sequence → structure → function relationship is not applicable to describe how proteins dynamically adapt to different cellular conditions. A stochastic model is required to capture functional promiscuity, redundant sequence motifs, dynamic interactions, or conformational heterogeneity, which facilitate the decision-making in regulatory processes, ranging from enzymes to membraneless cellular compartments. The fuzzy set theory offers a quantitative framework to address these problems. The fuzzy formalism allows the simultaneous involvement of proteins in multiple activities, the degree of which is given by the corresponding memberships. Adaptation is described via a fuzzy inference system, which relates heterogeneous conformational ensembles to different biological activities. Sequence redundancies (e.g., tandem motifs) can also be treated by fuzzy sets to characterize structural transitions affecting the heterogeneous interaction patterns (e.g., pathological fibrillization of stress granules). The proposed framework can provide quantitative protein models, under stochastic cellular conditions.

Indexed as

Stochastic ProcessesAlgorithmsArtificial IntelligenceFuzzy LogicProteinsStructure-Activity RelationshipProteinsartificial intelligenceconformational heterogeneityfuzzy complexesfuzzy set theoryhigher-order structurespromiscuityprotein dynamicsprotein evolution

Identifiers

PMID30453632
PMCPMC6278454

What OpenQuestion holds

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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.