M PHARM / COMPUTER AIDED DRUG DESIGN- THEORY
After a successful completion of the course the students will be able to
| Course outcome number |
Course Outcomes |
Cognitive level |
| CO1 | Execute a comprehensive review of the history, techniques, and applications of Computer-Aided Drug Design (CADD), including the calculation of physicochemical parameters using experimental and theoretical approaches | C1 |
| CO2 | Explain prediction and analysis of ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties in drug design. Apply De novo drug design techniques, including receptor/enzyme interaction analysis, cavity size prediction, and fragment-based drug design. | C2 |
| CO3 | Analyze the process of conformational search in pharmacophore mapping. Analyze the techniques of similarity-based and pharmacophore-based virtual screening in drug design. Evaluate the potential of in-silico techniques in drug discovery. | C3 |
| CO4 | Apply the concepts of Quantitative Structure-Activity Relationships (QSAR) to derive 2D-QSAR equations. Create and analyze Hansch analysis and Free Wilson analysis. Understand the advantages and disadvantages of these methods. | C4 |
| CO5 | Evaluate the molecular modeling techniques and energy minimization methods in drug design. Evaluate molecular docking and drug-receptor interactions, including rigid docking, flexible docking, and extra-precision docking. Assess the interactions of drugs with specific enzymes. | C5 |
| CO6 | Create the concept of pharmacophore mapping, identify pharmacophore features, and create pharmacophore models. Create and analyze In Silico drug design and virtual screening protocols using similarity-based and structure-based methods. | C6 |
Remembering (C1), Understanding (C2), Applying (C3), Analyzing (C4), Evaluating (C5) and Creating (C6)
