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Computational Screening of Microbial Metabolites as Erythropoietin (EPO) Mimetics for the Treatment of Anemia.

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Title: Computational Screening of Microbial Metabolites as Erythropoietin (EPO) Mimetics for the Treatment of Anemia.
Authors: Hasan, Md Nahid1 (AUTHOR), Shishir, Md. Asaduzzaman2 (AUTHOR), Rahman, Kazi Md. Mostafizur1 (AUTHOR), Islam, SM Bakhtiar Ul1 (AUTHOR), Shill, Manik Chandra3 (AUTHOR), Bulbul, Nayeema1 (AUTHOR), Safa, Ashrafus4 (AUTHOR), Jime, Jinath Sultana1 (AUTHOR), Fakruddin, Md.1 (AUTHOR) md.fakruddin@northsouth.edu
Source: Biomedical Engineering & Computational Biology. 5/25/2026, Vol. 17, p1-19. 19p.
Subjects: Microbial metabolites, Erythropoietin, Molecular docking, Pharmacokinetics, Anemia treatment, Biological networks, Virtual high-throughput screening (Drug development), Molecular dynamics
Abstract: Anemia remains a critical global health burden, often driven by impaired erythropoietin (EPO) signaling, which reduces red blood cell production. While recombinant EPO therapy is effective, its high cost and associated safety concerns limit its accessibility. This study explores microbial metabolites as affordable and safe alternatives that act as EPO mimetics that can bind and activate the erythropoietin receptor (EPOR). A computational screening of 90 microbial bioactive compounds was conducted, and from those, 16 were selected for detailed analysis. The extracellular domain of EPOR (PDB: 1EBP) was used as the target protein. Molecular docking was performed using AutoDock, followed by ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling with SwissADME and ProTox-III. Protein-protein interaction (PPI) networks were also analyzed in Cytoscape, and the stability of the top complexes was validated via 100 ns molecular dynamics (MD) simulations. Docking results identified Abyssomicin W, Abyssomicin C, and Camptothecin as the top candidates with strong binding affinities (−7.60 kcal/mol) to EPOR. ADMET predictions confirmed their favorable drug-likeness and safety profiles, with Abyssomicin W exhibiting the most promising characteristics, including high gastrointestinal absorption, and no predicted hepatotoxicity or carcinogenicity. PPI network analysis underscored the functional relevance of EPOR in erythropoietic pathways, while molecular dynamics (MD) simulations revealed that Abyssomicin W and Camptothecin formed highly stable complexes with the receptor, whereas the Abyssomicin C complex was unstable. The integrated computational pipeline successfully identified Abyssomicin W as the most stable and promising EPO mimetic candidate. In conclusion, this study identifies Abyssomicin W as a potential and stable EPO mimetic candidate, highlighting the potential of microbial metabolites as cost-effective therapeutics for anemia. Further experimental validation, including direct binding and functional cell-based assays is recommended to confirm its efficacy and safety in biological systems. [ABSTRACT FROM AUTHOR]
Copyright of Biomedical Engineering & Computational Biology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Computational Screening of Microbial Metabolites as Erythropoietin (EPO) Mimetics for the Treatment of Anemia.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hasan%2C+Md+Nahid%22">Hasan, Md Nahid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shishir%2C+Md%2E+Asaduzzaman%22">Shishir, Md. Asaduzzaman</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rahman%2C+Kazi+Md%2E+Mostafizur%22">Rahman, Kazi Md. Mostafizur</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Islam%2C+SM+Bakhtiar+Ul%22">Islam, SM Bakhtiar Ul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shill%2C+Manik+Chandra%22">Shill, Manik Chandra</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bulbul%2C+Nayeema%22">Bulbul, Nayeema</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Safa%2C+Ashrafus%22">Safa, Ashrafus</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jime%2C+Jinath+Sultana%22">Jime, Jinath Sultana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fakruddin%2C+Md%2E%22">Fakruddin, Md.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> md.fakruddin@northsouth.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Biomedical+Engineering+%26+Computational+Biology%22">Biomedical Engineering & Computational Biology</searchLink>. 5/25/2026, Vol. 17, p1-19. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Microbial+metabolites%22">Microbial metabolites</searchLink><br /><searchLink fieldCode="DE" term="%22Erythropoietin%22">Erythropoietin</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+docking%22">Molecular docking</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmacokinetics%22">Pharmacokinetics</searchLink><br /><searchLink fieldCode="DE" term="%22Anemia+treatment%22">Anemia treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+networks%22">Biological networks</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+high-throughput+screening+%28Drug+development%29%22">Virtual high-throughput screening (Drug development)</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+dynamics%22">Molecular dynamics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Anemia remains a critical global health burden, often driven by impaired erythropoietin (EPO) signaling, which reduces red blood cell production. While recombinant EPO therapy is effective, its high cost and associated safety concerns limit its accessibility. This study explores microbial metabolites as affordable and safe alternatives that act as EPO mimetics that can bind and activate the erythropoietin receptor (EPOR). A computational screening of 90 microbial bioactive compounds was conducted, and from those, 16 were selected for detailed analysis. The extracellular domain of EPOR (PDB: 1EBP) was used as the target protein. Molecular docking was performed using AutoDock, followed by ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling with SwissADME and ProTox-III. Protein-protein interaction (PPI) networks were also analyzed in Cytoscape, and the stability of the top complexes was validated via 100 ns molecular dynamics (MD) simulations. Docking results identified Abyssomicin W, Abyssomicin C, and Camptothecin as the top candidates with strong binding affinities (−7.60 kcal/mol) to EPOR. ADMET predictions confirmed their favorable drug-likeness and safety profiles, with Abyssomicin W exhibiting the most promising characteristics, including high gastrointestinal absorption, and no predicted hepatotoxicity or carcinogenicity. PPI network analysis underscored the functional relevance of EPOR in erythropoietic pathways, while molecular dynamics (MD) simulations revealed that Abyssomicin W and Camptothecin formed highly stable complexes with the receptor, whereas the Abyssomicin C complex was unstable. The integrated computational pipeline successfully identified Abyssomicin W as the most stable and promising EPO mimetic candidate. In conclusion, this study identifies Abyssomicin W as a potential and stable EPO mimetic candidate, highlighting the potential of microbial metabolites as cost-effective therapeutics for anemia. Further experimental validation, including direct binding and functional cell-based assays is recommended to confirm its efficacy and safety in biological systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Biomedical Engineering & Computational Biology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/11795972261441396
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Subjects:
      – SubjectFull: Microbial metabolites
        Type: general
      – SubjectFull: Erythropoietin
        Type: general
      – SubjectFull: Molecular docking
        Type: general
      – SubjectFull: Pharmacokinetics
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      – SubjectFull: Anemia treatment
        Type: general
      – SubjectFull: Biological networks
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      – SubjectFull: Virtual high-throughput screening (Drug development)
        Type: general
      – SubjectFull: Molecular dynamics
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      – TitleFull: Computational Screening of Microbial Metabolites as Erythropoietin (EPO) Mimetics for the Treatment of Anemia.
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              Text: 5/25/2026
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              Y: 2026
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