Title:
Speed Up Drug Discovery with Chemical Proteomics and Machine Learning
Speed Up Drug Discovery with Chemical Proteomics and Machine Learning
Speaker:
吳泓儀 (Hung-Yi Wu)
吳泓儀 (Hung-Yi Wu)
Time:
07/21 (Sat.) 6 pm PDT, 7 pm MDT, 8 pm CDT, 9 pm EDT
07/22 (Sun.) 9 am Taiwan
07/21 (Sat.) 6 pm PDT, 7 pm MDT, 8 pm CDT, 9 pm EDT
07/22 (Sun.) 9 am Taiwan
Keywords:
Proteomics, Computational proteomics, Drug discovery, Proteomics, Machine learning, Data science
Proteomics, Computational proteomics, Drug discovery, Proteomics, Machine learning, Data science
本次演講未提供錄影
Abstract:
A chemical proteomic tool, called SIM-PAL, transforms wet-lab drug discovery into a computational pattern recognition problem. This is an on-going, unpublished project. I'm going to present how I approach this problem, and open to feedback from the audience.
A chemical proteomic tool, called SIM-PAL, transforms wet-lab drug discovery into a computational pattern recognition problem. This is an on-going, unpublished project. I'm going to present how I approach this problem, and open to feedback from the audience.
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