Evidence map›Paper›PMID 31986130›Full record

ArticlePLoS computational biology2020

Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome.

Sean M Cascarina, Mikaela R Elder, Eric D Ross

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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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 at 1 institution in 1 country.

Sean M CascarinaDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, United States of America.ORCID 0000-0002-3054-2332
Mikaela R ElderDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, United States of America.ORCID 0000-0002-7225-6238
Eric D RossDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, United States of America.ORCID 0000-0002-6473-9977
Colorado State University · US

Funding

Functional and Pathological Assembly of Prion-like DomainsR35GM130352 · NIGMS · COLORADO STATE UNIVERSITY · PI Eric D Ross · 2019 to 2026
$3.1M
NIGMS NIH HHS R35 GM130352
6 · The paper itself

Abstract

A variety of studies have suggested that low-complexity domains (LCDs) tend to be intrinsically disordered and are relatively rare within structured proteins in the Protein Data Bank (PDB). Although LCDs are often treated as a single class, we previously found that LCDs enriched in different amino acids can exhibit substantial differences in protein metabolism and function. Therefore, we wondered whether the structural conformations of LCDs are likewise dependent on which specific amino acids are enriched within each LCD. Here, we directly examined relationships between enrichment of individual amino acids and secondary structure tendencies across the entire PDB proteome. Secondary structure tendencies varied as a function of the identity of the amino acid enriched and its degree of enrichment. Furthermore, divergence in secondary structure profiles often occurred for LCDs enriched in physicochemically similar amino acids (e.g. valine vs. leucine), indicating that LCDs composed of related amino acids can have distinct secondary structure tendencies. Comparison of LCD secondary structure tendencies with numerous pre-existing secondary structure propensity scales resulted in relatively poor correlations for certain types of LCDs, indicating that these scales may not capture secondary structure tendencies as sequence complexity decreases. Collectively, these observations provide a highly resolved view of structural tendencies among LCDs parsed by the nature and magnitude of single amino acid enrichment.

Indexed as

AlgorithmsAmino AcidsAmino Acid SequenceDatabases, ProteinProtein DomainsProteinsProtein Structure, SecondaryProteomeProteomicsAmino AcidsProteinsProteome

Identifiers

PMID31986130
PMCPMC7004392
OpenAlexW3002679225

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.