Evidence map›Paper›PMID 30877253›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Unifying structural signature of eukaryotic α-helical host defense peptides.

Nannette Y Yount, David C Weaver, Ernest Y Lee, Michelle W Lee, Huiyuan Wang, Liana C Chan, Gerard C L Wong, Michael R Yeaman

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  7. Unraveling the Role of Antimicrobial Peptides in Insects.International journal of molecular sciences · 2023
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  18. Monitoring the Site-Specific Solid-State NMR Data in Oligopeptides.International journal of molecular sciences · 2020
    Article
  19. Review
  20. 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

8 authors at 3 institutions in 1 country.

Nannette Y YountDivision of Molecular Medicine, Department of Medicine, Los Angeles County Harbor-University of California, Los Angeles, Medical Center, Torrance, CA 90509.ORCID 0000-0002-7079-5211
David C WeaverDepartment of Mathematics, University of California, Berkeley, CA 94720.
Ernest Y LeeDepartment of Bioengineering, University of California, Los Angeles, CA 90095.ORCID 0000-0001-5144-2552
Michelle W LeeDepartment of Bioengineering, University of California, Los Angeles, CA 90095.ORCID 0000-0003-1613-9501
Huiyuan WangDivision of Molecular Medicine, Department of Medicine, Los Angeles County Harbor-University of California, Los Angeles, Medical Center, Torrance, CA 90509.
Liana C ChanDivision of Molecular Medicine, Department of Medicine, Los Angeles County Harbor-University of California, Los Angeles, Medical Center, Torrance, CA 90509.ORCID 0000-0003-2567-4418
Gerard C L WongDepartment of Bioengineering, University of California, Los Angeles, CA 90095.
Michael R YeamanDivision of Molecular Medicine, Department of Medicine, Los Angeles County Harbor-University of California, Los Angeles, Medical Center, Torrance, CA 90509; mryeaman@ucla.edu.
University of California, Los Angeles · USCalifornia NanoSystems Institute · USUniversity of California, Berkeley · US

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Systems Immunolobiology of Antibiotic-Persistent MRSA InfectionU01AI124319 · NIAID · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI YEAMAN, MICHAEL R · 2016 to 2020
$10.1M
Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022
$4.6M
Mitigating Resistance & Virulence in MRSAR33AI111661 · NIAID · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI YEAMAN, MICHAEL R · 2016 to 2018
$1.2M
Dermatology Scientist Training ProgramT32AR071307 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MODLIN, ROBERT L · 2017 to 2021
$1.1M
Bacterial amyloids: interactions with DNA and pathogenicityR56AI125429 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI TUKEL, CAGLA · 2017 to 2017
$557k
Mitigating Resistance & Virulence in MRSAR21AI111661 · NIAID · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI YEAMAN, MICHAEL R · 2014 to 2015
$378k
NIAID NIH HHS R21 AI111661NIAID NIH HHS R33 AI111661NIAID NIH HHS R56 AI125429NIAID NIH HHS U01 AI124319NIAMS NIH HHS T32 AR071307NIGMS NIH HHS T32 GM008042NIGMS NIH HHS T32 GM008185
6 · The paper itself

Abstract

Diversity of α-helical host defense peptides (αHDPs) contributes to immunity against a broad spectrum of pathogens via multiple functions. Thus, resolving common structure-function relationships among αHDPs is inherently difficult, even for artificial-intelligence-based methods that seek multifactorial trends rather than foundational principles. Here, bioinformatic and pattern recognition methods were applied to identify a unifying signature of eukaryotic αHDPs derived from amino acid sequence, biochemical, and three-dimensional properties of known αHDPs. The signature formula contains a helical domain of 12 residues with a mean hydrophobic moment of 0.50 and favoring aliphatic over aromatic hydrophobes in 18-aa windows of peptides or proteins matching its semantic definition. The holistic α-core signature subsumes existing physicochemical properties of αHDPs, and converged strongly with predictions of an independent machine-learning-based classifier recognizing sequences inducing negative Gaussian curvature in target membranes. Queries using the α-core formula identified 93% of all annotated αHDPs in proteomic databases and retrieved all major αHDP families. Synthesis and antimicrobial assays confirmed efficacies of predicted sequences having no previously known antimicrobial activity. The unifying α-core signature establishes a foundational framework for discovering and understanding αHDPs encompassing diverse structural and mechanistic variations, and affords possibilities for deterministic design of antiinfectives.

Indexed as

Eukaryotic CellsPattern Recognition, AutomatedSequence Analysis, ProteinPeptidesProtein Structure, SecondaryPeptidesamphipathicantiinfectiveantimicrobialbioinformaticshost defense

Identifiers

PMID30877253
PMCPMC6452647
OpenAlexW2922040209

What Socratic holds

Textmetadata
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 Socratic graph.