This course offers an in-depth introduction to homology-based structural modeling of proteins, a crucial technique in bioinformatics for understanding protein structures when experimental data is unavailable. Participants will begin by exploring the fundamentals of protein structure prediction, learning how the amino acid sequence determines a protein's three-dimensional form. Through engaging sessions on the principles of homology modeling, students will understand how to leverage known protein structures to model related proteins accurately. The course will guide learners in selecting appropriate template structures and performing accurate sequence alignments, critical steps for reliable model generation. Finally, a hands-on module will allow participants to build their own homology models, applying learned techniques and utilizing professional software tools. This course is ideal for students, researchers, and professionals seeking practical skills in computational biology and structural bioinformatics.

1. Introduction to Protein Structure Prediction
2. Principles of Homology Modeling
3. Selecting a Template and Sequence Alignment
4. Hands-On Building a Homology Mode