Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DRUG DESIGN METHODS 34183009 2 + 0 2.0 6.0

Prerequisites None

Language of Instruction English
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals Gains information about designing methods of drug active compounds.
Course Content Studies on investigation and development of active compounds, relationships of effector and target, QSAR, physicochemical parameterization, Hansch analysis methods, Bilinear analysis methods, Free-Wilson modified analysis methods, Relationships between FujitaBan and Hansch models, Applications about models
Learning Outcomes 1) In development studies of drug active compounds, gains basic information about medicinal chemistry and drug design methods.
2) Practise drug design, synthesis, structure elucidation and analyses studies.
3) Gains information about designing methods of drug active compounds.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Research and development studies for drug active compounds Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
2. Week Effector-target relationship Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
3. Week Effector-target relationship Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
4. Week QSAR Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
5. Week Physicochemical parametrization Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
6. Week Physicochemical parametrization Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
7. Week Midterm Question Answer
Colloquium
Problem Based Learning 		Presentation (Including Preparation Time)
8. Week Hansch Analyses Method Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
9. Week Bilineer Analyses Method Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
10. Week Free-Wilson Analyses Method Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
11. Week Relationships between FujitaBan and Hansch Model Lecture; Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
12. Week Practises of models Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
13. Week Practises of models Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
14. Week Practises of models Question Answer
Colloquium
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)

Sources Used in This Course
Recommended Sources
3D Qsar in Drug Design: Recent Advances, Gerd Folkers, 1998 Kluwer Academic Publishers
3D Qsar in Drug Design: Theory Methods and Applications, Hugo Kubinyi, 1993 Kluwer Academic Publishers
Evolutiory Algorithms in Molecular Design, Clark, D.E. (ED), Wiley-VCH, Weinheim, 2000.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 1
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 14 1
Presentation (Including Preparation Time) 14 3
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 14 1
Final Exam 1 1
Time to prepare for Final Exam 14 3
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload