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Flex Conference (Physical / Digital)

International Conference on Data Science for Protein Structure Prediction - (ICDSPSP-26)

26th - 27th September 2026 , Sharjah - UAE

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Call For Papers

The (ICDSPSP-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 Artificial Intelligence,Data Science,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:

  • Data science techniques for protein prediction
  • Machine learning in protein structure analysis
  • Challenges in protein structure prediction
  • Integrative approaches to protein modeling
  • AI applications in protein folding studies
  • Ethics in protein research applications
  • Future trends in protein structure prediction
  • Collaborative projects in protein science
  • Real-time analysis of protein data
  • AI techniques for protein interaction prediction
  • Data integration in protein structure studies
  • Case studies in protein prediction
  • AI for understanding protein dynamics
  • Innovations in protein structure technology
  • Applications of AI in protein research
  • Data privacy in protein studies
  • AI-driven insights in protein analysis
  • Best practices in protein structure prediction
  • AI for structural bioinformatics applications
  • Visualization techniques for protein structures

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.

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