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Flex Conference (Physical / Digital)

International Conference on Structural Bioinformatics in Protein Engineering - (ICSBPE-26)

14th - 15th October 2026 , Mecca - Saudi Arabia

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Call For Papers

The (ICSBPE-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:

  • Structural Bioinformatics for Protein Engineering
  • Computational Methods in Protein Structure Prediction
  • Molecular Dynamics Simulations in Bioinformatics
  • Protein-Protein Interaction Prediction Techniques
  • Bioinformatics Approaches to Drug Design
  • Structural Analysis of Biomolecular Complexes
  • Machine Learning in Protein Engineering
  • Visualization Tools for Structural Bioinformatics
  • Bioinformatics for Enzyme Engineering Applications
  • Computational Modeling of Protein Folding
  • Data Integration in Structural Bioinformatics
  • Ethics in Structural Bioinformatics Research
  • Applications of AI in Protein Engineering
  • High-Throughput Structural Bioinformatics Techniques
  • Impact of Structural Bioinformatics on Medicine
  • Collaborative Research in Structural Bioinformatics
  • Future Directions in Protein Engineering
  • Structural Bioinformatics for Synthetic Biology
  • Challenges in Structural Bioinformatics Data
  • Interdisciplinary Approaches to Protein Engineering

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.