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| ECZ5047 | Computer Aided Drug Design | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of PHARMACEUTICS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Ahmet YAŞAR | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | In this course, computer-aided drug design methods, modeling techniques, virtual screening, selection of suitable compounds and optimization of selected compounds will be explained. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | | 4 - 5 | | | LO - 2 : | | 4 - 5 | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Computer-aided drug design terminology. General information about computer-aided drug design. Programs and resources used for computer-aided drug design. Computer-aided drug design methods, Ligand-based drug design. Ligand-based drug design. Structure-based drug design. Virtual screening. Analysis of virtual screening results and compound selection. Optimization of compounds selected from virtual screening results. General information about molecular dynamics simulations. Application of computer-aided drug design. |
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| 1 | Textbook of Drug Design and Discovery, 3th Edition by Povl Krogsgaard-Larsen, Tommy Liljefors and Ulf Madsen. Taylor & Francis, 2005 | | | 2 | Computer Aided Drug Discovery, by Wei Zhang, Methods in Pharmacology and Toxicology, Springer, 2016 | | | 3 | Hacettepe Üniversitesi Farmasötik Kimya Ders Kitabı, Taş Kitabevi. 1) Surabhi, Singh B. K. ?Computer Aided Drug Design? Journal of Drug Delivery and Therapeutics, 2018; 8(5):504-509 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 21.11.2021 | 1 | 50 | | End-of-term exam | 16 | 15.01.2022 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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