Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling.
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| Natura: | Artículo científico |
| Lingua: | en |
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Scientific reports
2025
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| _version_ | 1868266201737592833 |
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| author | Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N |
| author_facet | Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N |
| collection | PubMed - marine biology |
| contents | Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling. Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N Receptors, Opioid, mu Molecular Docking Simulation Bacteria RNA, Ribosomal, 16S Molecular Dynamics Simulation Aquatic Organisms Metabolome Phylogeny 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. |
| format | Artículo científico |
| id | pubmed_40382432 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Scientific reports |
| record_format | pubmed |
| spellingShingle | Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling. Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N Receptors, Opioid, mu Molecular Docking Simulation Bacteria RNA, Ribosomal, 16S Molecular Dynamics Simulation Aquatic Organisms Metabolome Phylogeny Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling. Boudrahem, Daouia Messaoudi, Omar Balit, Sarah Kecha, Mouloud Wink, Joachim Patel, Chirag N Receptors, Opioid, mu Molecular Docking Simulation Bacteria RNA, Ribosomal, 16S Molecular Dynamics Simulation Aquatic Organisms Metabolome Phylogeny 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. |
| title | Exploring marine-derived bacterial compounds targeting the μ-opioid receptor agonists through metabolic profiling to molecular modeling. |
| topic | Receptors, Opioid, mu Molecular Docking Simulation Bacteria RNA, Ribosomal, 16S Molecular Dynamics Simulation Aquatic Organisms Metabolome Phylogeny |
| url | https://pubmed.ncbi.nlm.nih.gov/40382432/ |