Evidence map›Paper›PMID 29662055›Full record

ArticleNature communications2018

In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

William F Porto, Luz Irazazabal, Eliane S F Alves, Suzana M Ribeiro, Carolina O Matos, Állan S Pires, Isabel C M Fensterseifer, Vivian J Miranda, Evan F Haney, Vincent Humblot and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 277 citations in OpenAlex.

  1. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
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  8. De Novo Multi-Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  12. Review
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  17. From computational screening toFrontiers in microbiology · 2026
    Article
  18. Article
  19. Review
  20. Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

97 more citing papers are in PubMed but not listed here.

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

17 authors at 7 institutions in 5 countries.

William F PortoCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil.ORCID http://orcid.org/0000-0002-4739-8250
Luz IrazazabalCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil.
Eliane S F AlvesMolecular Pathology Post-graduate Program, University of Brasília, Brasília, 70.910-900, DF, Brazil.
Suzana M RibeiroS-Inova Biotech, Pós-graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, 79117-010, MS, Brazil.
Carolina O MatosLaboratório de RMN, Instituto de Química, Universidade Federal de Goiás, Goiânia, 74690-900, GO, Brazil.
Állan S PiresCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil.
Isabel C M FensterseiferCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil.
Vivian J MirandaCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil.
Evan F HaneyCentre for Microbial Diseases and Immunity Research, University of British Columbia, 2259 Lower Mall Research Station, Vancouver, BC, V6T 1Z4, Canada.
Vincent HumblotSorbonne Université, CNRS, Laboratoire de Réactivité de Surface (LRS), UPMC Univ Paris 06, UMR 7197, Paris, F-75005, France.
Marcelo D T TorresSynthetic Biology Group, MIT Synthetic Biology Center; The Center for Microbiome Informatics and Therapeutics; Research Laboratory of Electronics, Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
Robert E W HancockCentre for Microbial Diseases and Immunity Research, University of British Columbia, 2259 Lower Mall Research Station, Vancouver, BC, V6T 1Z4, Canada.
Luciano M LiaoLaboratório de RMN, Instituto de Química, Universidade Federal de Goiás, Goiânia, 74690-900, GO, Brazil.ORCID http://orcid.org/0000-0001-9985-2980
Ali LadramSorbonne Université, CNRS, Institut de Biologie Paris-Seine (IBPS), Biogenèse des Signaux Peptidiques (BIOSIPE), UPMC Univ Paris 06, Paris, F-75005, France.
Timothy K LuSynthetic Biology Group, MIT Synthetic Biology Center; The Center for Microbiome Informatics and Therapeutics; Research Laboratory of Electronics, Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
Cesar de la Fuente-NunezSynthetic Biology Group, MIT Synthetic Biology Center; The Center for Microbiome Informatics and Therapeutics; Research Laboratory of Electronics, Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA. cfuente@mit.edu.
Octavio L FrancoCentro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e Biotecnologia Universidade Católica de Brasília, Brasília, 70790-160, DF, Brazil. ocfranco@gmail.com.
Universidade de Brasília · BRBroad Institute · USUniversidade Católica de Brasília · BRCentre National de la Recherche Scientifique · FRUniversidade Federal de Goiás · BRUniversity of British Columbia · CAUniversidade Católica Dom Bosco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are extensively used in traditional medicine, and several plant antimicrobial peptides have been described as potential alternatives to conventional antibiotics. However, after more than four decades of research no plant antimicrobial peptide is currently used for treating bacterial infections, due to their length, post-translational modifications or  high dose requirement for a therapeutic effect . Here we report the design of antimicrobial peptides derived from a guava glycine-rich peptide using a genetic algorithm. This approach yields guavanin peptides, arginine-rich α-helical peptides that possess an unusual hydrophobic counterpart mainly composed of tyrosine residues. Guavanin 2 is characterized as a prototype peptide in terms of structure and activity. Nuclear magnetic resonance analysis indicates that the peptide adopts an α-helical structure in hydrophobic environments. Guavanin 2 is bactericidal at low concentrations, causing membrane disruption and triggering hyperpolarization. This computational approach for the exploration of natural products could be used to design effective peptide antibiotics.

Indexed as

AlgorithmsAmino Acid SequenceAnimalsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesCell MembraneCombinatorial Chemistry TechniquesDrug DesignEscherichia coliHydrophobic and Hydrophilic InteractionsMiceModels, MolecularNuclear Magnetic Resonance, BiomolecularPlant ProteinsProtein Structure, SecondaryPseudomonas aeruginosaAnti-Bacterial AgentsAntimicrobial Cationic PeptidesPlant Proteins

Identifiers

PMID29662055
PMCPMC5902452
OpenAlexW2796712624

What OpenQuestion holds

Textmetadata
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.