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Modular Courses

Course Schedules

Courses Offered




Modular Course in Cheminformatics

Introduction and Virtual Screening
Date / Time Course Title Contents Duration (hrs)
2 August 2010, 10.00-11.00 Introduction to Cheminformatics What is cheminformatics; basic cheminformatics techniques and solutions; where cheminformatics can help in drug discovery and beyond 1
2 August 2010, 11.30-12.30 Molecular Descriptors and Similarity Searching Molecular representations for property prediction and model generation 1
2 August 2010, 13.30-14.30 Introduction to PipelinePilot Introduction to PipelinePilot 1
2 August 2010, 14.30-16.00 Molecular Descriptors and Similarity Searching Similarity Searching Practical 2.5




Property Prediction
Date / Time Course Title Contents Duration (hrs)
3 August 2010, 10.00-11.00 How To Generate Reliable QSAR/QSPR models Basics of QSAR Models; Molecular Descriptors; Modeling Techniques; Model Generation and Validation (ROC Curves, Mathews Correlation Coefficient and other Performance Measures) 1
3 August 2010, 11.30-12.30 Advanced Molecular Property Prediction Chemogenomics vs Proteo-chemometrics: - Proteome wide protein-ligand interactions - Protein descriptors - Ligand descriptors - 4D/ 5D QSAR 1
3 August 2010, 13.30-16.00 QSAR Modeling and Molecular Property Prediction Model Generation and Validation using different descriptors using techniques discussed in the morning 2.5




Software and Databases
Date / Time Course Title Contents Duration (hrs)
4 August 2010, 10.00-10.45 Cheminformatics Free and Open Source Software Overview of free and open source cheminformatics software current available on the Internet 0.75
4 August 2010, 11.15-12.30 Public databases for cheminformatics and drug discovery Overview of free and open source cheminformatics databases current available on the Internet 1.25
4 August 2010, 13.30-16.00 Cheminformatics Software and Public Databases Practical applications of open source software and databases 3




Machine Learning
Date / Time Course Title Contents Duration (hrs)
5 August 2010, 10.00-11.00 Machine Learning and Data Analysis Exploratory Data Analysis (Principal Component Analysis and Nonlinear Mapping) 1
5 August 2010, 11.30-13.00 Machine Learning and Data Analysis Supervised Learning vs Unsupervised Learning: Statistical Approaches (Bayesian; Logistic regression; analysis of variance; PLS); Decision trees/rules; Neural networks; Support vector machines; Unsupervised learning 1.5
5 August 2010, 14.00-17.00 Machine Learning and Data Analysis Practical Data Analysis and Machine Learning 3




Applications and Case Studies
Date / Time Course Title Contents Duration (hrs)
6 August 2010,
10.00 - 12.00
Pharmaceutical Industry Case Studies - 2-3 External Speakers (AZ, others) Where does cheminformatics fit into pharmaceutical industry? External speaker 2
6 August 2010,
13.00 - 15.00
Pharmaceutical Industry Case Studies - my experience Integrated practical employing online drug resources, molecular descriptors and mathematical modeling techniques discussed throughout the course 2




Cheminformatics Practical
Date / Time Course Title Contents Duration (hrs)
9-11 August 2010, 10.00-17.00 Retrieving data from PubChem, Data Mining, Selecting Novel Compound, Property Prediction, Report Writing
21






Total 45.5

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