Evidence map›Paper›PMID 33865811›Full record

ArticleBiophysical journal2021

Intrachain interaction topology can identify functionally similar intrinsically disordered proteins.

Jonathan Huihui, Kingshuk Ghosh

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Mapping Charge Interactions in Intrinsically Disordered Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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  7. Protein ensemble modeling and analysis with MMMx.Protein science : a publication of the Protein Society · 2024
    Article
  8. Review
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  16. Review
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  18. The Protein Folding Problem: The Role of Theory.Journal of molecular biology · 2021
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jonathan HuihuiDepartment of Physics and Astronomy, University of Denver, Denver, Colorado.
Kingshuk GhoshDepartment of Physics and Astronomy, University of Denver, Denver, Colorado. Electronic address: kingshuk.ghosh@du.edu.
University of Denver · US

Funding

Modeling Conformational Ensembles of the Disordered ProteinsR01GM138901 · NIGMS · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GHOSH, KINGSHUK · 2020 to 2024
$1.3M
Quantifying fluctuations to buildpredictive models and guide design of gene networksR15GM128162 · NIGMS · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GHOSH, KINGSHUK · 2018 to 2018
$367k
NIGMS NIH HHS R01 GM138901NIGMS NIH HHS R15 GM128162
6 · The paper itself

Abstract

Functionally similar IDPs (intrinsically disordered proteins) often have little sequence similarity. This is in stark contrast to folded proteins and poses a challenge for the inverse problem, functional classification of IDPs using sequence alignment. The problem is further compounded because of the lack of structure in IDPs, preventing structural alignment as an alternate tool for classification. Recent advances in heteropolymer theory unveiled a powerful set of sequence-patterning metrics bridging molecular interaction with chain conformation. Focusing only on charge patterning, these set of metrics yield a sequence charge decoration matrix (SCDM). SCDMs can potentially identify functionally similar IDPs not apparent from sequence alignment alone. Here, we illustrate how these information-rich "molecular blueprints" encoded in SCDMs can be used for functional classification of IDPs with specific application in three protein families-Ste50, PSC, and RAM-in which electrostatics is known to be important. For both the Ste50 and PSC protein family, the set of metrics appropriately classifies proteins in functional and nonfunctional groups in agreement with experiment. Furthermore, our algorithm groups synthetic variants of the disordered RAM region of the Notch receptor protein-important in gene expression-in reasonable accordance with classification based on experimentally measured binding constants of RAM and transcription factor. Taken together, the novel classification scheme reveals the critical role of a high-dimensional set of metrics-manifest in self-interaction maps and topology-in functional annotation of IDPs even when there is low sequence homology, providing the much-needed alternate to a traditional sequence alignment tool.

Indexed as

Intrinsically Disordered ProteinsProtein ConformationReceptors, NotchSequence AlignmentStatic ElectricityIntrinsically Disordered ProteinsReceptors, Notch

Identifiers

PMID33865811
PMCPMC8204386
OpenAlexW3152975720

What OpenQuestion holds

Textmetadata
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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.