Fostering talents who can grow into innovative leaders in the bio industry
1Cultivating field-type middle managers who have acquired convergence knowledge and global standards for biopharmaceutical process optimization2Nurturing experts who lead the niche market of ‘future innovative medicines’ such as antibody therapy, gene therapy,
and advanced biopharmaceuticals using new biopharmaceutical process technology
Objectives and overview
Recombinant DNA technology has fundamentally changed the method of discovering and developing new drugs.
In this course, students learn how to discover and develop drugs using recombinant DNA technology and other biotechnology technologies in living things. This course deals with the basic knowledge of biotechnology, microbial pharmaceutical biotechnology, and the relationship between biotechnology and society, with an emphasis on acquiring appropriate and general knowledge about principles rather than details.
Yonsei University Pharmaceutical Industry Cooperation Course T : 032-749-4175
Second semester of 2021
ProfessorKim Hwajong
SubjectPython for AI and Drug Discovery
Credit3
Objectives and overview
It aims to develop AI development capabilities using Python and to understand the overall understanding of AI machine learning in drug development.
ProfessorSung Ook Chung
SubjectIntroductory Course of Bioprocess Engineering
Credit3
Objectives and overview
Bioengineering is emerging for efficient industrialization through economical production and quality control of biopharmaceuticals. It aims to acquire basic knowledge about the basic process and background of bioprocess to develop products based on basic research in the field of biotechnology
First semester of 2022
ProfessorHwajong Kim
SubjectAI based Drug Discovery
Credit3
Objectives and overview
In this course, you will learn the basics of how AI technology is used in the process of drug discovery. You will learn how to represent molecular data to be used as input to a machine learning model and how to implement a machine learning model in Python.
In order to take this class, you need to learn enough about Python programming, especially how to use pandas and numpy packages.
This course covers (i) Understanding Machine Learning and Deep Learning, (ii) DeepChem,RDKit, (iii) Fingerprint, Mol Property, (iv) Drug-Target Interaction, and (v) Hit Discovery, Virtual Screeninng.
ProfessorHotcherl Jeong
SubjectBiopharmaceuticals and Precision Medicine
Credit3
Objectives and overview
Precision medicine is an innovative approach to tailoring disease prevention and treatment that takes into account differences in people's genes, environments, and lifestyles. Precision medicine allows us to use molecular characteristics to define diseases and to integrate different types of biomarkers into drug development. This new landscape holds tremendous promise for innovation in biopharmaceuticals.
This course covers (i) introduction to precision medicine, (ii) the human genome, (iii) analysis of genetic information, (iv) companion diagnostics, and (v) therapeutic applications of pharmacogenomics.
Credit exchange with other universities
Universities eligible for credit exchange
The Catholic Univ., Korea Univ., Korea National Defense Univ., Dongguk Univ., Sogang Univ., Seoul National Univ., Sungkyunkwan Univ., Ewha Womans Univ., Hanyang Univ., KAIST, UST
First semester of 2021
-「Pharmaceutical Biotechnology」opened
Second semester of 2021
-「Python for AI and Drug Discovery」
-「Introductory Course of Bioprocess Engineering」It will be opened