PreprintCited by 4Protein Structure and DynamicsEnzyme Structure and FunctionMachine Learning in Bioinformatics

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Pervasive, conserved secondary structure in highly charged protein regions

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Preprint — published as 10.1371/journal.pcbi.1011565

Abstract

Understanding how protein sequences confer function remains a defining challenge in molecular biology. Two approaches have yielded enormous insight yet are often pursued separately: structure-based, where sequence-encoded structures mediate function, and disorder-based, where sequences dictate physicochemical and dynamical properties which determine function in the absence of stable structure. Here we study highly charged protein regions (>40% charged residues), which are routinely presumed to be disordered. Using recent advances in structure prediction and experimental structures, we show that roughly 40% of these regions form well-structured helices. Features often used to predict disorder—high charge density, low hydrophobicity, low sequence complexity, and evolutionarily varying length—are also compatible with solvated, variable-length helices. We show that a simple composition classifier predicts the existence of structure far better than well-established heuristics based on charge and hydropathy. We show that helical structure is more prevalent than previously appreciated in highly charged regions of diverse proteomes and characterize the conservation of highly charged regions. Our results underscore the importance of integrating, rather than choosing between, structure- and disorder-based approaches.

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Metadata

Authors
Triandafillou, C. G., Pan, R. W., Dinner, A. R., & Drummond, D. A.
Affiliations
  • University of Pennsylvania (US)
  • California Institute of Technology (US)
  • University of Chicago (US)
Corresponding author
Drummond, D. Allan
Venue
PLoS Computational Biology
Publisher
openRxiv
Published
2023-02-15
Volume
19
Issue
10
Pages
e1011565-e1011565
ISSN
1553-734X (ISSN-L)
OpenAlex
W4387665886
Cited by
4
References
2
Citations by year
2026: 2 · 2025: 1 · 2024: 1
FWCI
0.36
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by-nc-nd)
  • Knowledge@UChicago (University of Chicago) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Chicago (cc-by)
Funders
  • Damon Runyon Cancer Research Foundation (DRG-2465-22)
  • University of Chicago
  • National Institutes of Health
  • Directorate for Biological Sciences
  • U.S. Army (W911NF-14-1-0411)
  • National Institute of General Medical Sciences (R35GM136381, GM144278, R01GM127406, GM127406, R35GM144278)
  • Biological and Physical Sciences Division
  • Army Research Office (W911NF-14-1-0411, W911NF-14-1, W911NF)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
Keywords
intrinsically disordered regions, helical conformation, protein secondary structure, sequence-based structure prediction, charged residues, hydropathy, sequence complexity, protein evolution

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