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ArticleProbiotics and antimicrobial proteins2024

Peptide-Membrane Docking and Molecular Dynamic Simulation of In Silico Detected Antimicrobial Peptides from Portulaca oleracea's Transcriptome.

Behnam Hasannejad-Asl, Salimeh Heydari, Fahime Azod, Farkhondeh Pooresmaeil, Ali Esmaeili, Azam Bolhassani

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Article in Probiotics and antimicrobial proteins, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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  7. Cliotide U1, a Novel Antimicrobial Peptide Isolated FromBioinformatics and biology insights · 2025
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4 · The record

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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

6 authors.

Behnam Hasannejad-AslDepartment of Hepatitis and AIDS, Pasteur Institute of Iran, Tehran, Iran.
Salimeh HeydariDepartment of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Fahime AzodDepartment of Biology, Faculty of Science, University of Yazd, Yazd, Iran.
Farkhondeh PooresmaeilDepartment of Hepatitis and AIDS, Pasteur Institute of Iran, Tehran, Iran.
Ali EsmaeiliDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Azam BolhassaniDepartment of Hepatitis and AIDS, Pasteur Institute of Iran, Tehran, Iran. A_bolhasani@pasteur.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main issue with clinical infections is multidrug resistance to traditional antibiotics. As they are essential to innate immunity, shielding hosts from pathogenic microbes, traditional herbal remedies are an excellent supplier of antimicrobial peptides (AMPs), vital parts of defensive systems. Nevertheless, little is known about the bioactive peptide components of most ethnobotanical species. Our goal in this study was to find new, likely AMPs from Portulaca oleracea (P. oleracea) using in silico studies. The P. oleracea transcriptome was gained from Sequence Read Archive (SRA) and quality controlled, then adapters and other low-quality reads were trimmed. Afterward, de novo assembled and translated open reading frames (ORFs) were determined. Next, the ORFs were filtered based on AMP physiochemical criteria and deep learning methods. Finally, the five selected putative AMPs docked with E. coli and S. aureus membranes that showed penetration in bilayers. In this step, PO2 was chosen as a candidate AMP to analyze with molecular dynamics (MD) simulations. Our data demonstrated that PO2 is more stable in E. coli than in S. aureus. Moreover, these predicted AMPs can be good candidates for in vitro and in vivo analysis.

Indexed as

Antimicrobial PeptidesEscherichia coliMolecular Dynamics SimulationPortulacaTranscriptomeComputer SimulationMolecular Docking SimulationPlant ProteinsStaphylococcus aureusAntimicrobial PeptidesPlant ProteinsAntimicrobial peptideIn silico studyMacromolecular dockingMolecular dynamicPortulaca oleraceaTranscriptome

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Registered trials

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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 Socratic graph.