Evidence map›Paper›PMID 39582487›Full record

ArticleChem2024

A High-Throughput Workflow to Analyze Sequence-Conformation Relationships and Explore Hydrophobic Patterning in Disordered Peptoids.

Erin C Day, Supraja S Chittari, Keila C Cunha, Roy J Zhao, James N Dodds, Delaney C Davis, Erin S Baker, Rebecca B Berlow, Joan-Emma Shea, Rishikesh U Kulkarni and 1 more

Abstract read
In one paragraph

Article in Chem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Erin C DayDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Supraja S ChittariDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Keila C CunhaDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, USA.
Roy J ZhaoDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, USA.
James N DoddsDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Delaney C DavisDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Erin S BakerDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Rebecca B BerlowDepartment of Biochemistry and Biophysics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 USA.
Joan-Emma SheaDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, USA.
Rishikesh U KulkarniIntelyCare, Quincy, Massachusetts 02169, USA.
Abigail S KnightDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Efstratios Pistikopoulos · 2017 to 2026
$21.2M
UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2003 to 2022
$11.5M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Understanding the role of lipids in structure and function of membrane proteinsRM1GM145416 · NIGMS · TEXAS A&M UNIVERSITY · PI Erin S Baker, Arthur D Laganowsky · 2022 to 2026
$7.4M
NCI NIH HHS P30 CA016086NICHD NIH HHS P50 HD103573NIEHS NIH HHS P42 ES027704NIGMS NIH HHS RM1 GM145416NINDS NIH HHS P30 NS045892
6 · The paper itself

Abstract

Understanding how a macromolecule's primary sequence governs its conformational landscape is crucial for elucidating its function, yet these design principles are still emerging for macromolecules with intrinsic disorder. Herein, we introduce a high-throughput workflow that implements a practical colorimetric conformational assay, introduces a semi-automated sequencing protocol using MALDI-MS/MS, and develops a generalizable sequence-structure algorithm. Using a model system of 20mer peptidomimetics containing polar glycine and hydrophobic

Indexed as

data-driven analysishigh-throughput characterizationintrinsic disorderoligomer sequencingpeptoids

Identifiers

PMID39582487
PMCPMC11580747

What OpenQuestion holds

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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.