Green Biotec UG Bremen Germany
Pharmacoinformatics
| Pharmacoinformatics | |
|---|---|
| Course Description | Pharmacoinformatics is a specialized degree that builds upon the legacy of the School of Pharmacy. It provides basic training in bioinformatics tools applied to the drug discovery and development process. This course explores emerging strategies and tools in computer-aided drug design, helping students understand drug development and biopharmaceuticals and preparing them for careers in research, operations, and management. |
| Recommended Books | 1. In Silico Methods for Predicting Drug Toxicity, E. Benfenati (Ed.), Humana Press. 2. Pharmacology in Drug Discovery and Development: Understanding Drug Response, T. Kenakin, Academic Press. 3. Pharmacology in Drug Discovery and Development, T.P. Kenakin. |
| Course Learning Outcomes | After completing this course, students will: 1. Understand the application of bioinformatics tools in drug discovery and development. 2. Gain skills in pharmacoinformatics applicable in the pharmaceutical industry, vaccine development, and clinical research. 3. Acquire the ability to design novel drugs for the treatment of untreatable diseases. |
| Assessment System | Quizzes: 10-15% Assignments: 5-10% Midterm Exam (MSE): 30-40% End of Semester Exam (ESE): 40-50% |
| Lecture Plan | ||
|---|---|---|
| S.No. | Description | Quizzes/Assignment |
| 1 | General Pharmacology | Quiz 1 |
| 2 | Overview of Bioinformatics and Information Technology in Pharmacology | |
| 3 | Pharmacophore Kinetics | |
| 4 | Drug Discovery and Development | Assignment 1 |
| 5 | Bioinformatics in Pharmacology | |
| 6 | Structure Representation Systems | |
| 7 | Chemical Databases | Quiz 2 |
| 8 | Modeling of Small Molecules | |
| 9 | Principles of Chemo-informatics | Assignment 2 |
| 10 | Computational Approaches in Drug Design | |
| 11 | Virtual Screening and Docking | |
| 12 | ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) Prediction | Quiz 3 |
| 13 | Pharmacokinetics and Toxicology Modeling | |
| 14 | Drug-Target Interaction and Prediction Models | |
| 15 | Advanced Topics in Drug Discovery | Assignment 3 |
