Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
COMPUTER AIDED ADVANCED DRUG DESIGN METHODS 34102095 0 + 0 3.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors ZÜHAL KILIÇ KURT
Assistants
Goals This course is aimed to perform drug design using computer aided drug design methods and analysis (Hansch, Free-Wilson, etc...).
Course Content Computer aided drug design studies are performed using various methods together with applications.
Learning Outcomes 1) Giving informations about design new drugs, quantitative structure-activity relationships and computational applications.
2) Giving information about the statistical evaluation of the quantitative and biological analysis results of drugs.
3) Using lifelong learning skills in the field of Pharmaceutical Chemistry continued personal and professional development.
4) Monitors the developments in information and technology field for increase the effectiveness of R & D studies, reaches to accurate and current information sources.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Hansch Analysis Method Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
2. Week Application of Hansch Analysis Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
3. Week Selection and Design of Training Set Compounds Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
4. Week Identification of Biological Activity Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
5. Week Selection of Physicochemical Parameters Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
6. Week Preparation of Masterfile Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
7. Week Regression Process and Selection of Correlation Equation Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
8. Week Interpretation of Hansch Analysis Model Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
9. Week Practices Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
10. Week Practices Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
11. Week Practices Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
12. Week Literature Search for New Studies with the Related Method Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
13. Week Literature Search for New Studies with the Related Method Lecture; Question Answer; Problem Solving; Discussion
Opinion Pool
Problem Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
14. Week Homework presentation Lecture; Question Answer; Problem Solving; Discussion
Colloquium
Problem Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Akı-Şener, E., Yalçın, İ. (2003) Farmasötik / Medisinal kimya'da İlaç Etken Madde Tasarım Yöntemleri 1, Kantitatif Yapı-Etki İlişkileri Analizleri (QSAR), Ankara Üniversitesi Basımevi. AnkaraTürkoğlu, A. (1998). Karşılaştırmalı Eğitim. Adana: Baki Kitabevi

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY150000
PY250000
PY350000
PY450000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 1
Presentation (Including Preparation Time) 8 1
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 14 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload