2017 Topics 3 in Computational Life Sciences (ACLS)

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Academic unit or major
Life Science
Akiyama Yutaka 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Intensive ()  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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Course description and aims

This course provides a comprehensive overview of pharmaceutical informatics. Pharmaceutical informatics is a study of wide-range of 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).

Student learning outcomes

To obtain understanding of the role and various approaches in pharmaceutical informatics.
To be able to explain representative methods in Ligand-Based Drug Design and Structure-Based Drug Design.


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 in 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


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.)


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