COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Pharmacophore Modeling MBG 319 Spring 03+00+00 Compulsory 3 5
Academic Unit: Molecular Biology and Genetics
Mode of Delivery: Face to face
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Undergraduate
Course Coordinator: - -
Course Objectives: To provide an overview of pharmacophore and pharmacophore modeling applications in drug discovery and ADME-tox. Two approaches will be studied such as structure based and ligand-based pharmacophore modeling. Also, some docking techniques and virtual screening will be introduced. Finally, to present BIOVIA Discovery Studio (DS) computer program for pharmacophore modeling and drug discovery.
Course Contents: Overview of Ligand- Protein Interactions, Pharmacophore Modeling, Drug Discovery, Current Challenges in Pharmacophore Modeling, Structure Based Pharmacophore Modeling, Ligand Based Pharmacophore Modeling Software’s: Biovia discovery Studio, AutoDock, Virtual Screening
Learning Outcomes of the Course Unit (LO):
  • 1- To have a knowledge about of what is pharmacophore.
  • 2- To understand the concept of pharmacophore modeling.
  • 3- Able to describe and discuss current challenges in drug discovery.
  • 4- Able to describe different techniques used in pharmacophore modeling
  • 5- Able to use BIOVIA DS
  • 6- Able to set up a virtual screening experiment
  • 7- To understand the concept behind pharmacophore screening, QSAR, ADMET
Planned Learning Activities and Teaching Methods: One midterm exam, a final exam, project and Homework (Exercises)


WEEKLY SUBJECTS AND RELATED PREPARATIONS

WeekSubjectsRelated Preperation
1 Overview of Pharmacophore Modeling Reading the related chapter from textbook
2 What is Computer-Aided Drug Design Reading the related chapter from textbook
3 Overview of Ligand-Protein Interactions Reading the related chapter from textbook
4 Pharmacophore modeling in virtual screening Reading the related chapter from textbook
5 Pharmacophore methods in docking simulations Reading the related chapter from textbook
6 Applications of pharmacophores in ADME-tox Study of the chapters covered in weeks 1 through 5
7 Pharmacophore-guided drug target identification Reading the related chapter from textbook
8 Introduction to software tool AutoDock Installing AutoDock related programs on your personal computer
9 Introduction to BIVIA DS Practical
10 Virtual Screening Practical
11 Midterm Project Practical
12 Future perspectives on pharmacophore modeling Reading the related chapter from textbook
13 Fragment-based drug design Reading the related chapter from textbook
14 Final Project Study of the chapters covered in weeks 9 through 12


REQUIRED AND RECOMMENDED READING

Pharmacophore modeling: advances, limitations, and current utility in drug discovery; Xiaoyu Qing, Xiao Yin Lee, Joren De Raeymaeker, Jeremy RH Tame, Kam YJ Zhang, Marc De Maeyer, Arnout RD Voet
Pharmacophore Approaches In Drug Discovery; Thierry Langer
ThreeDimensional Pharmacophore Modelling of Monoamine oxidase-A (MAO-A) inhibitors; Kalapatapu V.V.M. Sairam, Roop K. Khar, Rama Mukherjee and Swatantra K. Jain
Synthesis, Structure–Activity Relationship, and Pharmacophore Modeling Studies of Pyrazole-3-
Carbohydrazone Derivatives as Dipeptidyl Peptidase IV Inhibitors; Deyan Wu, Fangfang Jin, Weiqiang Lu 1, Jin Zhu, Cui Li, Wei Wang, Yun Tang, Hualiang Jiang, Jin Huang, Guixia Liu and Jian Li


OTHER COURSE RESOURCES

AutoDock Tutorial
BIOVIA DS Tutorial


ASSESSMENT METHODS AND CRITERIA

Semester RequirementsNumberPercentage of Grade (%)
Attendance / Participation 14 10
Homework Assignments 2 10
Extra-Class Activities (reading, individual study etc.) 5 20
Midterms / Oral Exams / Quizes 1 30
Final Exam 1 30
Total: 23 100


WORKLOAD

EventsCountDuration (Hours)Total Workload (hour)
Course Hours14342
Homework Assigments5630
Extra-Class Activities (reading,individiual work, etc.)5525
Midterms / Oral Exams / Quizes11010
Final Exam11818
Total Workload (hour):125


THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

# PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 PQ13
LO1                          
LO2                          
LO3                          
LO4                          
LO5                          
LO6                          
LO7