Dear Colleagues,

I am currently developing a book chapter titled: “AI-Driven Molecular Harvesting: The Future of Intelligent Bioprocessing and Bioactive Compound Discovery”

This chapter has been accepted for publication in the forthcoming book Bioprocess Technology and Bioactive Molecule Extraction: Current Trends and Innovations, published by Apple Academic Press, with global distribution via CRC Press | Taylor & Francis Group.

Chapter Scope:

The chapter explores how artificial intelligence (AI) is transforming:

  • Bioactive compound discovery from plant and marine sources
  • Virtual screening, QSAR modeling, and in silico extraction pipelines
  • Smart bioprocess engineering and AI-driven optimization
  • Data integration from cheminformatics, bioinformatics, and omics
  • Future trends in automated, intelligent bioprocessing

🤝 Seeking Interdisciplinary Collaborators in:

  • Machine Learning / AI applied to chemical/biological systems
  • Cheminformatics / Computational Chemistry
  • Bioprocess Engineering / Systems Biology
  • Natural Product Chemistry / Pharmacognosy
  • Green Chemistry / Sustainability
  • Automation, Robotics, or Digital Twin Modeling
  • Regulatory Science / Safety Validation

đź’Ľ What You Can Contribute:

  • Co-authorship of a section (methods, case studies, datasets, insights)
  • Share relevant data, visuals, or success stories
  • Help validate or contextualize AI models in bioprocess or compound discovery
  • Join future grant proposals or publications extending this work

đź—“ Deadline: August 20, 2025

If you’re working on any of these areas and would like to contribute or co-author, please reach out via ResearchGate message or email me at: 📬 [email protected]

Let’s collaborate to shape the future of AI-integrated molecular harvesting!

Warm regards, Marvellous O. Eyube Department of Chemistry, University of Benin, Nigeria

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