APPLICATIONS OF COMPUTERS IN MEDICINE
- Course
- MDCN001 - APPLICATIONS OF COMPUTERS IN MEDICINE
- Department
- Faculty of Medicine
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 2
- T+P+L
- 2 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
Course Description
This course introduces some popular molecular graphics systems that allow for the visualization, animation, editing, and publication-quality imagery of proteins. It focuses on hands-on experience in the classroom and builds solid skills in visually investigating the 3D molecular structures of proteins and their interactions with each other and with ligands such as substrates and drugs. The course also explores the importance of protein sequence and structure alignment programs in revealing evolutionary relationships between proteins. Finally, it emphasizes the use of computational tools for predicting the effects of amino acid substitutions on protein structure and function as well as classifying mutations as deleterious or benign.
APPLICATIONS OF COMPUTERS IN MEDICINE
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Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | General applications of computers in medical fields |
| Week 2 | Introduction to protein and structure -function relationship |
| Week 3 | Protein data bank (PDB) and protein visualization using online and offline tools |
| Week 4 | Molecular visualization |
| Week 5 | Protein-ligand interactions |
| Week 6 | Introduction to sequence analysis |
| Week 7 | Mid-term |
| Week 8 | Mid-term |
| Week 9 | Sequence alignment |
| Week 10 | Evolutionary relationships in proteins |
| Week 11 | Mutations and protein function |
| Week 12 | Computational prediction tools-using online tools to analyze mutation |
| Week 13 | Analysis of real clinical mutation examples |
| Week 14 | Preparing publication-quality Images |
| Week 15 | Final exam |
Reference Books & Course Materials
- 01 The Machinery of Life by David S. Goodsell
- 02 Introduction to Protein Structure by Branden, C., & Tooze, J.
- 03 Introduction to Bioinformatics- Arthur M. Lesk
Learning Outcomes
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Program Outcomes
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