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Bioinformatics

Introduction of group leader

Sangchul Lee, Ph.D.
Doctorate: Korea Advanced Institute of Science & Technology (KAIST), Korea (2009)
Post-Doctorate: Bio-molecular Engineering Laboratory, KAIST, Korea (2009-2010)
Post-Doctorate: Drug Biology, Institut Pasteur Korea
(2010-2014)
Senior Researcher, Hepatitis Research Laboratory, Institut Pasteur Korea (2014-2015)
Head, Bioinformatics, Computational Biology group, Institut Pasteur Korea (2016-present)

Office phone: +82-31-8018-8184
Email: sangchul.lee at ip-korea.org
Office location: R3.58

Research Interests

The Bioinfomatics group investigates biological problems using computational methods. We provide experimental researchers data-driven bioinformatics and cheminformatics analyses to understand results in more meaningful ways. Recent advanced experimental techniques produce a huge amount of data, therefore collaboration between experiment and informatics is key to processing vast, complex data and databases. Sophisticated computational and statistical methods are becoming an essential part in the biology research. The Bioinfomatics team is also part of the global effort for integrative research through International Network of Data Analysis (INDA).

Our group offers expertise in the following:

• Bioinformatics analysis: Next-generation sequencing (NGS) data, protein expression data, interference RNA screening data are explored in systems biology context. Customized software is developed when necessary
• Cheminformatics analysis: The chemical data from IPK’s drug discovery projects is analyzed. Hit compounds from screenings are analyzed in the context of being drug-like to be reflected in drug development
• Molecular modeling and Virtual screening: Simulating the interaction between compound and target protein. The binding prediction helps researchers understand the interaction in order to design better drugs. Furthermore, drug candidates can be researched through virtual screening (screening compounds in simulation of binding energies) as a complement to experimental screening process

Examples of recent research activities are as follows:

• Analyzing NGS data from Tuberculosis and Antibacterial Resistance research
• Analyzing protein expression profile from Cancer research
• Analyzing chemical screening results from Hepatitis B virus, MERS-CoV, Ebola and Antibacterial Resistance research
• Virtual screening of Antibacterial Resistance and Cancer research
• Analyzing RNA interference screening result of Lyssa virus
 

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