Evidence map›Paper›PMID 38883712›Full record

ArticleResearch square2024

Conserved molecular recognition by an intrinsically disordered region in the absence of sequence conservation.

Jhullian J Alston, Andrea Soranno, Alex S Holehouse

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jhullian J AlstonDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Andrea SorannoDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0001-8394-7993
Alex S HolehouseDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-4155-5729

Funding

A multipronged investigation of SARS-CoV-2 genome packagingR01AI163142 · NIAID · WASHINGTON UNIVERSITY · PI Andrea Soranno · 2022 to 2026
$3.1M
Single Molecule Biophysics of Intrinsically Disordered Proteins in DiseaseF99CA264413 · NCI · WASHINGTON UNIVERSITY · PI ALSTON, JHULLIAN JAMILLE · 2021 to 2022
$62k
NCI NIH HHS F99 CA264413NIAID NIH HHS R01 AI163142
6 · The paper itself

Abstract

Intrinsically disordered regions (IDRs) are critical for cellular function yet often appear to lack sequence conservation when assessed by multiple sequence alignments. This raises the question of if and how function can be encoded and preserved in these regions despite massive sequence variation. To address this question, we have applied coarse-grained molecular dynamics simulations to investigate non-specific RNA binding of coronavirus nucleocapsid proteins. Coronavirus nucleocapsid proteins consist of multiple interspersed disordered and folded domains that bind RNA. Here, we focus on the first two domains of coronavirus nucleocapsid proteins: the disordered N-terminal domain (NTD) and the folded RNA binding domain (RBD). While the NTD is highly variable across evolution, the RBD is structurally conserved. This combination makes the NTD-RBD a convenient model system for exploring the interplay between an IDR adjacent to a folded domain and how changes in IDR sequence can influence molecular recognition of a partner. Our results reveal a surprising degree of sequence-specificity encoded by both the composition and the precise order of the amino acids in the NTD. The presence of an NTD can - depending on the sequence - either suppress or enhance RNA binding. Despite this sensitivity, large-scale variation in NTD sequences is possible while certain sequence features are retained. Consequently, a conformationally-conserved dynamic and disordered RNA:protein complex is found across nucleocapsid protein orthologs despite large-scale changes in both NTD sequence and RBD surface chemistry. Taken together, these insights shed light on the ability of disordered regions to preserve functional characteristics despite their sequence variability.

Identifiers

PMID38883712
PMCPMC11177979

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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.