| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. 介紹結構生物資訊分析的原理，以及從事研究所需的相關資料庫、網站與專業軟體2. 具備實際操作結構生物資訊相關資料庫與專業軟體之能力
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| Quiz |
| Assignment |
| Attendance |
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| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction |
| Week 2 |
Fundamentals of protein structure and molecular visualization |
| Week 3 |
The protein data bank and other structure-based databases |
| Week 4 |
Structure determination by X-ray crystallography |
| Week 5 |
Structure determination by NMR and electron microscopy |
| Week 6 |
Computer-aided protein structure prediction |
| Week 7 |
Computational tools for protein structure analysis |
| Week 8 |
Molecular docking |
| Week 9 |
Virtual drug screening and design |
| Week 10 |
Molecular dynamics simulation |
| Week 11 |
Capstone session |
| Week 12 |
Midterm Exam |
| Week 13 |
Nucleic acids travel |
| Week 14 |
Nucleic acids database |
| Week 15 |
Determination of DNA helical parameters by X3DNA |
| Week 16 |
DNA-binding drugs |
| Week 17 |
RNA secondary structure prediction |
| Week 18 |
Final Exam |
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| Evaluation |
Attendance(10%), Exam (40%), Homework (50%)
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| Textbook & other References |
Structural Bioinformatics, 2nd Ed, 2009.
Publisher: Wiley-Blackwell
Authors: Jenny Gu and Philip E. Bourne
ISBN: 9780470181058 |
| Teaching Aids & Teacher's Website |
| iLearning |
| Office Hours |
| 5-6PM, Tue (Appointment by email) |
| Sustainable Development Goals, SDGs |
| 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure | include experience courses：Y |
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