課程資訊
課程名稱
化學資訊
Cheminformatics 
開課學期
100-1 
授課對象
學程  能源科技學程  
授課教師
曾宇鳳 
課號
CSIE5730 
課程識別碼
922 U3500 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三6,7,8(13:20~16:20) 
上課地點
 
備註
上課教室:資519。
總人數上限:25人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1001cheminfo 
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課程概述

The new discipline of cheminformatics covers the application of computer-
assisted methods to chemical problems such as information storage and
retrieval, the prediction of physical, chemical or biological properties of
compounds, spectra simulation, structure elucidation, reaction modeling,
synthesis planning and drug design. This class provides an introduction to the
representation of molecular structures and reactions, data types and
databases/data sources, search methods, methods for data analysis as well as
such applications as structure elucidation, reaction simulation, synthesis
planning and drug design.



 

課程目標
* Basic chemistry for cheminformatics, representation of the chemical
structure, chemical nomenclature, elements, and formulas of compounds to
chemical structure fingerprints
* Chemical data, from 2D to 3D structure, structure comparison
* Chemical reactions,
* Calculation of physical chemical properties of compounds,
* Calculation of structure descriptors
* Methods for data analysis, and applications in computer-aided drug design,
spectra analysis, molecular modeling, simulation  
課程要求
Basic chemistry and physics background preferred but not required. Experience
in machine learning, multivariate statistical analysis, and pattern
recognition will be helpful but not required.
 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
Textbook: Cheminformatics, by Johann Gasteiger, Thomas Engel

Publisher: John Wiley & Sons (December 9, 2003) , ISBN-10: 3527306811 
參考書目
Handbook of Chemoinformatics
Johann Gasteiger, WILEY-VCH, 3527306803 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
First Midterm Exam 
30% 
 
2. 
Second Midterm Exam 
30% 
 
3. 
Attendance 
10% 
 
4. 
Final Projects 
30% 
 
 
課程進度
週次
日期
單元主題
第1週
9/14  Introduction 
第2週
9/21  Representation of Chemical Compounds and Graph theory I 
第3週
9/28  2D Descriptors and 3D Descriptors Calculation 
第4週
10/5  Chemical Similarity and Diversity 
第5週
10/12  Substructure Searching 
第6週
10/19  Database and Data Source I 
第7週
10/26  First Midterm Exam 
第8週
11/2  Database and Data Source II 
第9週
11/9  Final Projects Proposal 1 
第10週
11/16  Methods for Data Analysis 
第11週
11/23  Molecular Modeling 1 
第12週
11/30  Molecular Modeling 2 
第13週
12/7  QSAR 
第14週
12/14  QSAR 
第15週
12/21  Second Midterm Exam
 
第16週
12/28  Final Projects Proposal 2 
第17週
1/4  Virtual High Throughput Screening 3  
第18週
1/11  Final Projects