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Course Jukebox

Course Detail

Degree
Master
Standard Academic Year
1
Course delivery methods
Online (Asynchronous)
Subject
Subjects allied to medicine, Biological sciences, Physical sciences
Program
School
Master's Program in Life Science Innovation
Department
Master's Program in Life Science Innovation
Campus
Tsukuba Campus
Classroom
Course Offering Year
2023-2024
Course Offering Month
July - August
Weekday and Period
Intensive
Capacity
Credits
1.0
Language
English
Course Number
0AXA802

Biomolecule and Medical Informatics University of Tsukuba

Course Overview

From this course students will learn the concepts of biomedical data and molecular simulation analysis leading to establish the basis of in silico drug discovery research.

Learning Achievement

Upon completion of this course, students will be trained and able to work on:
1. Clinical data processing and analysis using computational techniques
2. Perform molecular simulation studies
3. Perform drug discovery studies for disease targets.

Competence

Expertise, English language proficiency

Course prerequisites

Grading Philosophy

The students will be evaluated by report submissions (Assignment submission).
Note that grades (A+, A, B, C and D) are to be determined based on the score (> 90% : A+, 75-90%:A,60-80%:B,50-60%:C,<50%:D).

Course schedule


Background of informatics for drug discovery
Ligand based drug design
Structure based drug design
Clinical statistics and data mining
Text mining for drug discovery
Basics of molecular dynamics (MD) simulations
Applications and analysis of MD simulations for biological systems
Basics of the Density Functional Theory (DFT)
DFT analysis of biomolecules and DFT-MD simulations
Large-scale DFT techniques and machine-learning methods for complex biological systems

Course type

Lectures

Online Course Requirement

Instructor

Shirai Hiroki,Miyazaki Tsuyoshi,Futamura Yasunori

Other information

Site for Inquiry


Link to the syllabus provided by the university