▶Japanese
Post to SNS
- Academic unit or major
- Education Academy of Computational Life Sciences
- Instructor(s)
- Akiyama Yutaka
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- ACL.A633
- Credits
- 1
- Academic year
- 2017
- Offered quarter
- 1-2Q
- Syllabus updated
- 2017/3/22
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course for doctoral students provides a comprehensive overview of pharmaceutical informatics. Pharmaceutical informatics is a study of wide-range computational and data-driven approaches to accelerate steps in the drug development process including hit compound discovery, compound optimization and side effect prediction. The course focuses especially on the drug design step, and gives detailed introduction to Ligand-Based Drug Design (LBDD) and Structure-Based Drug Design (SBDD).
Students' qualifications will be assessed with the written report on the frontier research field from the viewpoint of the qualities for doctor.
Student learning outcomes
To obtain understanding of the role of pharmaceutical informatics and its various approaches.
To be able to explain representative methods in Ligand-Based Drug Design and Structure-Based Drug Design.
Keywords
Pharmaceutical informatics, LBDD, SBDD, Bioinformatics, Chemoinformatics
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Will be given as an intensive course for two days typically.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Ligand-Based Drug Design (LBDD) | Understanding various methods in LBDD |
| Class 2 | Structure-Based Drug Design (SBDD) | Understanding various methods in SBDD |
Textbook(s)
Original slides will be given by lecturers.
Reference books, course materials, etc.
Latest references will be given in the course.
Assessment criteria and methods
Student should submit a report on specified issues
Related courses
- ART.T543 ： Bioinformatics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
Other
None
