結構生物資訊
Structural Bioinformatics
| 節 | 週四 |
|---|---|
5 13:20–14:10 | 結構生物資訊 BI305（博愛） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
Studying the methods and concepts of structural bioinformatics: 1. Study the basic elements of bioinformatics: algorithms, scoring function, and databases 2. study sequence-structure-function-network relationships 3. study basic concepts of AI (machine learning approachs, such as neural networks, deep learning, and random forest)
None
無備註
Papers & public databases
Homework 50%: Progress report or paper report Final project 25% Examination: 25%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Structure Biology |
| 第 2 週 | Pairwise Sequence Alignment (BLAST Dynamic Programming) |
| 第 3 週 | Scoring matrix: BLOSUM and PAM for sequence alignment |
| 第 4 週 | Multiple String Alignment (ClustalW and T-COFFEE) |
| 第 5 週 | Fundamentals of Protein Structures (Protein Data Bank [Ch 9]))Molecular Visualization (PdbViewer ) |
| 第 6 週 | Neural Networks: Secondary structure prediction (DSSP, PHD) Support Vector Machine (SVM) |
| 第 7 週 | Structural Alignment (CE and 3D-BLAST) |
| 第 8 週 | Protein structure classification & databases (SCOP & CATH ) |
| 第 9 週 | Protein structure prediction: Homology Model (Swiss-Model and PS2) |
| 第 10 週 | Introduction to Deep learning AlphaFold: protein structure prediction [Nature 2021 |
| 第 11 週 | AlphaFold: protein structure prediction [Nature 2021] |
| 第 12 週 | ntroduction to computational drug design |
| 第 13 週 | Genetic Algorithm: Protein-ligand docking/ drug screening |
| 第 14 週 | Decision tree and random forest: Compound similar search and clustering |
| 第 15 週 | Introduction to systems biology |
| 第 16 週 | Protein-Protein Interactions and Prediction (Bayesian network ) & Network Analysis [Ch 20, KEGG] |
| 第 17 週 | Pathway & Network Analysis [Ch 20, KEGG] Protein-drug (compound) association networks (STITCH) |
Papers: over one paper for each topic
- 地點
- 308 室: 博愛校區 生科實驗一館
- 時間
- 2CD
- 聯絡方式
- 56942