Evidence map›Paper›PMID 40382432›Full record

ArticleScientific reports2025

Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling.

Daouia Boudrahem, Omar Messaoudi, Sarah Balit, Mouloud Kecha, Joachim Wink, Chirag N Patel

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Daouia BoudrahemUniversité de Bejaia, Faculté des Sciences de la Nature et de la Vie, Laboratoire de Microbiologie Appliquée, Bejaia, 06000, Algeria.
Omar MessaoudiLaboratory of Applied Microbiology in Food, Biomedical and Environment, Abou Bekr Belkaïd University, 13000, Tlemcen, Algeria.
Sarah BalitUniversité de Bejaia, Faculté des Sciences de la Nature et de la Vie, Laboratoire de Microbiologie Appliquée, Bejaia, 06000, Algeria.
Mouloud KechaUniversité de Bejaia, Faculté des Sciences de la Nature et de la Vie, Laboratoire de Microbiologie Appliquée, Bejaia, 06000, Algeria.
Joachim WinkMicrobial Strain Collection, Helmholtz Centre for Infection Research GmbH (HZI), Inhoffenstrasse 7, 38124, Brunswick, Germany.
Chirag N PatelDepartment of Botany, Bioinformatics & Climate Impacts Management, University School of Sciences, Gujarat University, Navrangpur, Ahmedabad, 280009, Gujarat, India. chiragpatel269@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the severe side effects of prolonged morphine use, the search for safer alternatives is a global priority. This study investigates marine bacteria from sediments along the Bejaia coast, Algeria, to identify opioid-like bioactive compounds with potential analgesic properties. A total of 45 bacterial strains were isolated using six different culture media, with 18 strains exhibiting antimicrobial activity. Molecular identification based on 16S rRNA gene sequencing classified these strains into six genera: Streptomyces, Nocardiopsis, Alloalcanivorax, Pseudonocardia, Sinomicrobium, and Lysinibacillus. One strain, S5T2H1, was identified as a new Streptomyces species through a polyphasic approach. LC-HRESIMS analysis of secondary metabolites revealed that strain S56T3J31 produced A58365A, antimycin A, and three potentially novel compounds. However, strain S5T2H1 synthesized cyclo(phenylalanyl-prolyl) and niphimycin Ia, along with three unidentified metabolites, while strain S7T2H1 secreted a single compound identified as berberifuranol. Molecular docking and molecular dynamics simulations demonstrated that A58365A exhibited strong interactions with the μ-opioid receptor (5C1M), showing a stable binding affinity comparable to morphine. These findings highlight marine-derived bacterial compounds as promising candidates for opioid drug development.

Indexed as

Aquatic OrganismsBacteriaMetabolomeReceptors, Opioid, muMolecular Docking SimulationMolecular Dynamics SimulationPhylogenyRNA, Ribosomal, 16SReceptors, Opioid, muRNA, Ribosomal, 16SIsolationMarine-derived bacteriaMarine sedimentMetabolic profilingMolecular modelingμ‐opioid receptor

Identifiers

PMID40382432
PMCPMC12085589

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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 OpenQuestion graph.