中央研究院 資訊科學研究所

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TIGP (BIO)—Computational Approaches in Drug Discovery

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TIGP (BIO)—Computational Approaches in Drug Discovery

  • 講者謝忠儒 教授 (美國喬治亞大學工學院)
    邀請人:TIGP (BIO)
  • 時間2022-11-24 (Thu.) 14:00 – 16:00
  • 地點僅提供視訊
線上串流

會議連結: 【webex

會議號: 2511 860 8416

會議密碼: XUnJQSBW324

摘要
The main purpose to apply the computational approaches is to make the drug discovery process more efficient and cost friendly. In this seminar, we will focus on three research topics in my lab and our finding in the past years. First, we developed protein binding site prediction methods and recently integrated them with deep learning technology. Second, we conducted virtual screening to identify drug candidates for COVID-19. Third, we performed molecular dynamics (MD) simulations to reveal what factors trigger the misfolding of the critical proteins of the neurodegenerative diseases. The outcomes of these research projects pave ways to the development of new treatment in the future.
BIO
Dr. Zhong-Ru Xie graduated from the Yang-Ming University in 2011 and his advisor was Dr. Ming-Jing Hwang in Academia Sinica. He is working as an Assistant Professor in the School of Electrical and Computer Engineering, University of Georgia. Before he got a job at the University of Georgia, he worked as a postdoc researcher in Academia Sinica, UCSD (University of California San Diego) and Albert Einstein College of Medicine in New York for 5 years. He majored in Structural Biology in a graduate program at the Yang-Ming University. He is always interested in the research topics of Structural Bioinformatics, especially structure-based drug design. He has been dedicating in the development of new generation structure-based drug design methods. Not only have drug candidates been identified by his lab with virtual screening, but also, he is working on revealing the mechanisms of diseases such as Alzheimer's Disease or Cancers and how natural products work.