Evidence map›Paper›PMID 32227994›Full record

ArticleThe journal of physical chemistry letters2020

Hydropathy Patterning Complements Charge Patterning to Describe Conformational Preferences of Disordered Proteins.

Wenwei Zheng, Gregory Dignon, Matthew Brown, Young C Kim, Jeetain Mittal

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
  2. AF-CALVADOS: AlphaFold-guided simulations of multi-domain proteins at the proteome level.Protein science : a publication of the Protein Society · 2026
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  9. Generative design of intrinsically disordered protein regions with IDiom.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Mapping Charge Interactions in Intrinsically Disordered Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Article
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  15. Article
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15 more citing papers are in PubMed but not listed here.

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.

Wenwei ZhengCollege of Integrative Sciences and Arts, Arizona State University, Mesa, Arizona 85212, United States.
Gregory DignonDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
Matthew BrownCollege of Integrative Sciences and Arts, Arizona State University, Mesa, Arizona 85212, United States.
Young C KimCenter for Materials Physics and Technology, Naval Research Laboratory, Washington, D.C. 20375, United States.
Jeetain MittalDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID http://orcid.org/0000-0002-9725-6402

Funding

Functional and Pathological Interactions of TDP-43R01NS116176 · NINDS · BROWN UNIVERSITY · PI FAWZI, NICOLAS LUX, MITTAL, JEETAIN · 2020 to 2024
$3.6M
Turning off the molecular switch for pathological self-assembly of FUSR01GM118530 · NIGMS · BROWN UNIVERSITY · PI FAWZI, NICOLAS LUX · 2016 to 2020
$1.6M
Conformational dynamics, binding and aggregation of intrinsically disordered proteinsR01GM120537 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI VAIANA, SARA M. · 2017 to 2021
$1.4M
NIGMS NIH HHS R01 GM118530NIGMS NIH HHS R01 GM120537NINDS NIH HHS R01 NS116176
6 · The paper itself

Abstract

Understanding the conformational ensemble of an intrinsically disordered protein (IDP) is of great interest due to its relevance to critical intracellular functions and diseases. It is now well established that the polymer scaling behavior can provide a great deal of information about the conformational properties as well as liquid-liquid phase separation of an IDP. It is, therefore, extremely desirable to be able to predict an IDP's scaling behavior from the protein sequence itself. The work in this direction so far has focused on highly charged proteins and how charge patterning can perturb their structural properties. As naturally occurring IDPs are composed of a significant fraction of uncharged amino acids, the rules based on charge content and patterning are only partially helpful in solving the problem. Here, we propose a new order parameter, sequence hydropathy decoration, which can provide a near-quantitative understanding of scaling and structural properties of IDPs devoid of charged residues. We combine this with a charge patterning parameter, sequence charge decoration, to obtain a general equation, parametrized from extensive coarse-grained simulation data, for predicting protein dimensions from the sequence. We finally test this equation against available experimental data and find a semiquantitative match in predicting the scaling behavior. We also provide guidance on how to extend this approach to experimental data, which should be feasible in the near future.

Indexed as

Amino AcidsHydrophobic and Hydrophilic InteractionsIntrinsically Disordered ProteinsProtein ConformationAmino AcidsIntrinsically Disordered Proteins

Identifiers

PMID32227994
PMCPMC7450210

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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.