CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Computer Aided Drug Design Methods KİM534 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Explains molecular modeling, macromolecule modeling and drug-receptor interactions.
    2-Defines molecular properties by ab-initio and semi-emperical methods.
    3-Explains pharmacophore identification and drug design methods.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14570
    Assignments1511010
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2511515
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6014040
    0000
    Total Workload (hours)   177
    Total Workload (hours) / 30 (s)     5,9 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Introduction to molecular modeling R1-CHAPTER 1
    2 Molecular graphics applications R1-CHAPTER 2
    3 Molecular mechanics R2-CHAPTER 2
    4 Calculation of molecular properties by ab-initio methods R2-CHAPTER 3
    5 Calculation of molecular properties by semi-emperical methods R1-CHAPTER 4
    6 Energy minimization R1-CHAPTER 5
    7 Hansch Analysis R3-CHAPTER 2
    8 Pharmacophore identification and drug design methods R3-CHAPTER 3
    9 2-D and 3-D database scanning R3-CHAPTER 4
    10 Regression analysis R4-CHAPTER 2
    11 Statistical data analysis R4-CHAPTER 3
    12 Structure-based drug design I R4-CHAPTER 4
    13 Structure-based drug design II R4-CHAPTER 4
    14 Structure-based drug design III R4-CHAPTER 4
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Dr. Saliha ALYAR
    Instructors

    1-)Profesör Dr. Saliha Alyar

    Assistants -
    Resources -
    Supplementary Book R1. Höltje, H.D., Wolfgang, S., Rognan, D., Folkers G., (2003). Molecular Modeling: Basic Principles and Applications. Wiley, Weinheim, Germany. R2. Christopher, J. C. (1990). Essentials of Computational Chemistry: Theories and Models. (2nd ed.). John Wiley& Sons, Chichester, England. R3. Leach, A. R., & Gillet V. J. (2007). An Introduction to Chemoinformatics, (Revised Edition). Springer, Netherlands. R4. Bajorath, J. (2004). Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery, Humana Press, Totowa, NJ.
    Goals To teach drug design methods using molecular modeling methods.
    Content Introduction to molecular modeling, Molecular graphics applications, Molecular mechanics, Calculation of molecular properties by ab-initio and semi-empirical methods, Energy minimization, Hansch Analysis, Pharmacophore identification, and drug design methods, 2-D and 3-D database scanning, Regression analysis, Statistical data analysis
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Has the necessary theoretical and applied basic knowledge within the scope of natural science. Has the knowledge to evaluate the nature, source, limits, accuracy, reliability, and validity of the information. 5
    2 Participates in interdisciplinary studies by using the basic knowledge of the field and analytical thinking ability. -
    3 Evaluates concepts, ideas, and data in the field of chemistry with scientific methods, identify and analyze complex problems and issues, make discussions, and develop suggestions based on evidence and research. -
    4 Has the ability to design and implement experiments, use modern technical devices, collect data and analyze results in order to research and solve problems related to the field. -
    5 Produces solutions by taking responsibility for solving unpredictable complex situations in applications in the field of chemistry. 3
    6 Informs periodically the people and institutions it is responsible for while conducting studies related to its field, and expresses its findings and suggestions for solutions to emerging problems in written, oral, and, if necessary, visual presentation. -
    7 Determines the theoretical and practical deficiencies related to the field and directs the future learning processes. -
    8 Has the knowledge of a foreign language at a level to be able to access the scientific information needs from foreign sources related to the field, update knowledge, and communicate with colleagues around the world. 4
    9 Uses computer software, information, and communication technologies at the level required by the field and accesses scientific resources in this way. -
    10 Develops strategy, policy, and implementation plans on issues related to the field and manages the data obtained within the framework of quality processes. -
    11 Supervises and checks the social, scientific, cultural, and ethical values at the stages of collection, interpretation, application, and announcement of the data related to the field. -
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