Evidence map›Paper›PMID 31683980›Full record

ArticleInternational journal of molecular sciences2019

Sequence and Structure Properties Uncover the Natural Classification of Protein Complexes Formed by Intrinsically Disordered Proteins via Mutual Synergistic Folding.

Bálint Mészáros, László Dobson, Erzsébet Fichó, István Simon

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Comparing YAPBiomolecules · 2026
    Article
  2. Article
  3. Article
  4. Macromolecular Interactions of Disordered Proteins.International journal of molecular sciences · 2020
    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

4 authors at 3 institutions in 2 countries.

Bálint MészárosMTA-ELTE Momentum Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/c, H-1117 Budapest, Hungary. bmeszaros@caesar.elte.hu.ORCID 0000-0003-0919-4449
László DobsonMembrane Protein Bioinformatics Research Group, Institute of Enzymology, RCNS, HAS, Magyar Tudósok krt 2, H-1117 Budapest, Hungary. dobson.laszlo.imre@itk.ppke.hu.ORCID 0000-0003-2765-3872
Erzsébet FichóProtein Structure Research Group, Institute of Enzymology, RCNS, HAS, Magyar Tudósok krt 2, H-1117 Budapest, Hungary. ficho.erzsebet@ttk.mta.hu.ORCID 0000-0002-3965-8438
István SimonProtein Structure Research Group, Institute of Enzymology, RCNS, HAS, Magyar Tudósok krt 2, H-1117 Budapest, Hungary. simon.istvan@ttk.mta.hu.ORCID 0000-0003-1207-4018
Institute of Molecular Life Sciences · HUEötvös Loránd University · HUPázmány Péter Catholic University · HU

Funding

EMBO 7544FIEK_16 FIEK_16-1-2016-0005Hungarian Scientific Research Fund K115698UNKP 17-3
6 · The paper itself

Abstract

Intrinsically disordered proteins mediate crucial biological functions through their interactions with other proteins. Mutual synergistic folding (MSF) occurs when all interacting proteins are disordered, folding into a stable structure in the course of the complex formation. In these cases, the folding and binding processes occur in parallel, lending the resulting structures uniquely heterogeneous features. Currently there are no dedicated classification approaches that take into account the particular biological and biophysical properties of MSF complexes. Here, we present a scalable clustering-based classification scheme, built on redundancy-filtered features that describe the sequence and structure properties of the complexes and the role of the interaction, which is directly responsible for structure formation. Using this approach, we define six major types of MSF complexes, corresponding to biologically meaningful groups. Hence, the presented method also shows that differences in binding strength, subcellular localization, and regulation are encoded in the sequence and structural properties of proteins. While current protein structure classification methods can also handle complex structures, we show that the developed scheme is fundamentally different, and since it takes into account defining features of MSF complexes, it serves as a better representation of structures arising through this specific interaction mode.

Indexed as

Protein FoldingProtein Structure, SecondaryProtein Structure, TertiaryAmino Acid SequenceAnimalsCluster AnalysisHumansIntrinsically Disordered ProteinsKineticsModels, MolecularProtein BindingThermodynamicsIntrinsically Disordered Proteinscoupled folding and bindingfold recognitionIDPintrinsically disordered proteinmutual synergistic foldingprotein–protein interactionstructural analysisstructure-based classification

Identifiers

PMID31683980
PMCPMC6862064
OpenAlexW2989317338

What OpenQuestion holds

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LicenceCC BY
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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.