Biomolecule and Medical Informatics University of Tsukuba
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.
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.
Expertise, English language proficiency
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).
Background of informatics for drug discoveryLigand based drug designStructure based drug designClinical statistics and data miningText mining for drug discoveryBasics of molecular dynamics (MD) simulationsApplications and analysis of MD simulations for biological systemsBasics of the Density Functional Theory (DFT)DFT analysis of biomolecules and DFT-MD simulationsLarge-scale DFT techniques and machine-learning methods for complex biological systems
Online Course Requirement
Shirai Hiroki,Miyazaki Tsuyoshi,Futamura Yasunori
Site for Inquiry
Link to the syllabus provided by the university