Flex Conference (Physical / Digital)

International Conference on Computational Pathway Engineering using Bioinformatics - (ICCPEB-26)

9th - 10th December 2026 , Berlin - Germany

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Call For Papers

The (ICCPEB-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Bioinformatics are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computational pathway engineering in bioinformatics
  • Modeling biological pathways using bioinformatics
  • Data integration for pathway analysis
  • Machine learning in pathway prediction
  • Bioinformatics tools for pathway visualization
  • Applications of pathway engineering in medicine
  • Pathway analysis for drug discovery
  • Ethical considerations in pathway research
  • Interdisciplinary approaches to pathway engineering
  • Advancements in computational biology techniques
  • Bioinformatics for metabolic pathway modeling
  • Real-time data analysis in pathway research
  • Collaboration between bioinformatics and systems biology
  • Future directions in computational pathway engineering
  • Case studies in pathway engineering applications
  • Bioinformatics for personalized medicine approaches
  • Impact of pathways on disease understanding
  • Data-driven decision making in pathway analysis
  • Bioinformatics tools for gene regulation studies
  • Pathway engineering in synthetic biology

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.