Remote Interactive Lectures “Foundations of Computational Life Sciences”
Held by Education Center on Computational Science and Engineering, Kobe University
Co-held by RIKEN HPCI Program for Computational Life Sciences
Computational life sciences plays an important role in the development of a frontier science field, which has opened up a fruitful cooperation between life sciences and science/engineering, such as physics, chemistry and so on. To facilitate graduate students and, researchers of academia and industry to understand the importance and usefulness, we begun Remote Interactive Lectures “Foundations of Computational Life Sciences” in association with Education Center on Computational Science and Engineering, Kobe University.
The details of our curriculum are shown below.
We are planning to build a standard curriculum of computational life sciences for graduate students. Therefore, we would appreciate it if you could give us some information and/or advice about the curriculum ().
Curriculum of “Foundations of Computational Life Sciences”
Curriculum of “Foundations of Computational Life Sciences Ⅱ” 2015 Curriculum
Introduction of Computational Life Sciences
Lecturer: Shigenori Tanaka (Kobe University)
Part 1 Life Sciences viewed from Genome
1.1 Human disease research must be done in Humans ~ Human biology and preemptive medicine by integration of bio-information
Lecturer: Fumihiko Matsuda (Kyoto University)
1.2 Design of bio-system: from systems biology to synthetic biology
Lecturer: Michihiro Araki (Kobe University)
1.3 Gene network analysis: Explore the process of the state transition of a cell
Lecturer: Hideo Matsuda (Osaka University)
1.4 Be prepared for the age of big biomedical data analysis
Lecturer: Atsushi Doi (Cell Innovator Co., Ltd.)
Part 2 Life Sciences viewed from Protein
2.1 Foundation of Quantum Chemistry for Life Sciences
Lecturer: Satoh Fumitoshi (The University of Tokyo)
2.2 Quantum Chemistry for Protein Analysis
Lecturer: Shigenori Tanaka (Kobe University)
2.3 Functional Analysis of Proteins by utilizing Molecular Dynamics
Lecturer: Masahiko Nakatsui (Kyoto University)
2.4 in silico Drug Discovery by utilizing Molecular Dynamics
Lecturer: Takatsugu Hirokawa (Advanced Industrial Science and Technology)
2.5 Protein Function Analysis by utilizing QM/MM
Lecturer: Takano Yu (Hiroshima City University)
Part 3 Life Sciences in Medicine and Drug Discovery
3.1 Data Driven R&D in Pharmaceutical Companies
Lecturers: Akio Tsuji and Yoshitake Kitanishi (Shionogi & Co., Ltd.)
3.2 High-precision Analysis of Protein-Ligand Interaction by using Fragment Molecular Orbital Method, and its Application to Drug Discovery
Lecturer: Fukuzawa Kaori (Nihon University)
3.3 Simulation and Big Data Science for Drug discovery and Medical Care
Lecturer: Yasushi Okuno (Kyoto University)
3.4 Computational Life Sciences in Drug Discovery: in silico Screening by integration of Informatics and Simulation
Lecturer: Teruki Honma (RIKEN Center for Life Science Technologies)
3.5 Brain Science at the Age of Massive Measurement and Large-scale Calculation
Lecturers: Kenji Doya (Okinawa Institute of Science and Technology Graduate University)
Note: These lectures are delivered in Japanese. And, the official title of each lecture is written in Japanese. This translation to English is done by Yukihiro Eguchi, and is an unofficial translation.