Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
General Information Departments Educational Staff Administration Contact
  • Faculty of Pharmacy
  • Course Structure Diagram with Credits
  • Computer-Aided Drug Design
  • Description
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Computer-Aided Drug Design ECZ887 X. SEMESTER 1+0 1.5
Language of Instruction Türkçe
Course Type Uzmanlık Alanı Dersleri
Course Instructor(s) DOÇ. DR. ASİYE MERİÇ
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites The students who selected this course should take and pass the Pharmaceutical Chemistry (at least -I, -II) courses on Pharmacy Training Programme and should know the concept of structure-activity, should know and use effectively 2- and 3-D Chemical Draw Programmes
Courses Recomended The students who selected this course should take and pass the Pharmaceutical Chemistry (at least -I, -II) courses on Pharmacy Training Programme
Recommended Reading List 1) F. J. Clarke, How Modern Medicines are Discovered, Futura Publishing Company, Mount Kisco, 1973.2) A. Burger, A Guide to the Chemical Basis of Drug Design, John Wiley & Sons, New York, 1983.3) W. Sneader, Drug Discovery: The Evolution of Modern Medicines, John Wiley & Sons, Chichester, 19854) E. Bäumler, Die großen Medikamente. Forscher und ihre Entdeckungen schenken uns Leben, Gustav Lübbe Verlag, Bergisch Gladbach, 1992.5) W. Sneader, Drug Prototypes and their exploitation, John Wiley & Sons, Chichester, 1996.6) H.-J. Böhm, G. Klebe and H. Kubinyi, Wirkstoffdesign, Spektrum Akademischer Verlag, Heidelberg, 1996.7) J. Ryan, A. Newman, and M. Jacobs, Editors, The Pharmaceutical Century. Ten Decades of Drug Discovery, Supplement to ACS Publications, American Chemical Society, Washington, 2000.8) R. Silverman, The Organic Chemistry of Drug Design and Drug Action, 2nd Edition, Elsevier Academic Press, Burlington, 2004.9) Computer-aided drug discovery / edited by Wei Zhang, ISBN 978-1-493-93519-2.10) Genetic algorithms in molecular modeling, Edited by:James Devillers ISBN: 978-0-12-213810-2 11) Computer-aided molecular design, Jean-Pierre Doucet and Jacques WeberISBN: 978-0-12-221285-712) The Science and Business of Drug Discovery, Edward D. Zanders, ISBN 978-1-4419-9901-613) In-Silico Lead Discovery, Editor(s): Maria A. Miteva, ISBN: 978-1-60805-679-814) Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering, Editors; Tarek Sobh, Khaled Elleithy. 15) Frontiers in computational chemistry, Zaheer Ul-Haq and Jeffry D. Madura, Vol 1, 2ISBN: 978-1-60805-979-9. ISBN: 978-1-60805-865-5.Molecular Operating Environment (MOE) (One fully integrated drug discovery software package) by developed Chemical Computing Group (CCG) (www.chemcomp.com). *Molecular Operating Environment (MOE), 2018.01; Chemical Computing Group ULC, 1010 Sherbooke St. West, Suite #910, Montreal, QC, Canada, H3A 2R7, 2019.- Schrodinger Training suites (https://www.schrodinger.com)Acknowledgement:-The lecturer and students would like to thank the CCG for allowing the software to use the teaching license because of the critical role of the MOE software package for educational aims.- They also acknowledged to Schrodinger for allowing their software for training purpose.
Assessment methods and criteria 1 Midterm, 1 homework/project, 1 final exam.
Work Placement Students who select this course should have preferably personal laptop computer, since the course will be given as practically on computer. And the students should be able to download and use some free modelling programmes to their computers.
Catalog Content Computer methods in the Pharmaceutical and Medicinal Chemistry, it’s importance on drug design, ligand-based drug design: Traditional 2D QSAR, Pharmacophor Analyses, 3D QSAR ((CoMFA (Comparative Molecular Field Analysis), CoMSIA (Comparative Molecular Similarity Indices Analysis ) Methods), 4D, 5D and 6D-QSAR; (structural-based drug design), Molecular modelling, Docking and imaging, molecular mechanics and molecular dinamic methods, virtual screening, QSAR, docking methods, pharmacological modelling, Library design, High-throughput screening (HTS), de novo (symthetic) drug design, Computer-aided design of enzyme inhibitors as drug-targets.

  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations