| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| to train students understanding the molecular structure and its functions as well as the molecular interactions. |
|
|
| Lecturing |
| Discussion |
| Exercises |
| topic Discussion/Production |
|
| Other |
| Internship |
| Attendance |
| Written Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction to Structural Biology. |
| Week 2 |
Introduction to Systems Biology. |
| Week 3 |
Molecular structure. |
| Week 4 |
Structure determination, refinement, and validation. |
| Week 5 |
Data management in the modern structural biology. |
| Week 6 |
Data management in the modern systems biology. |
| Week 7 |
Molecular interaction. |
| Week 8 |
Protein-ligand interaction. |
| Week 9 |
Protein-protein interaction. |
| Week 10 |
Modelling for molecular structure. |
| Week 11 |
Modelling for molecular interaction. |
| Week 12 |
Analysis of Structure-Activity Relationship. |
| Week 13 |
Dynamic systems biology modelling and simulation. |
| Week 14 |
Molecular dynamics simulation. |
| Week 15 |
Virtual high-throughput screening. |
| Week 16 |
Application in biomedicine.
Self-study I: Practice of molecular pathway curation.
Self-study II: Survey of open-type resource for macromolecules. |
self-directed
learning |
|
|
| Evaluation |
| participation rate, homeworks |
| Textbook & other References |
1. Foundations of Systems Biology (Kitano)
2. Systems Biology (Klipp)
3. Virtual Screening (Mannhold Ed.)
4. Bioinformatics for Systems Biology (Krawetz) |
| Teaching Aids & Teacher's Website |
|
| Office Hours |
| Working hour or by appointment. |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|