26/05/2021 – AI3SD & RSC-CICAG AI 4 Proteins III
May 26 @ 9:30 am - 11:15 amFree
Eventbrite Link: Coming Soon
This seminar forms part of the AI3SD/RSC-CICAG AI 4 Proteins Seminar Series. This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel.
- 09:30-10:15: Predicting Metalloproteomes by Machine Learning – Professor Chu Wang (Peking University)
- 10:15-10:30: Coffee Break
- 10:30-11:15: TBC – TBC
Abstracts & Speaker Bios
- Predicting Metalloproteomes by Machine Learning – Professor Chu Wang: Metal ions play various important biological functions in proteins, including structural maintenance, molecular recognition, and catalysis. In this talk, I will present our work on developing computational methods to systematically predict metal-binding proteins and sites in proteomes. Our method, named “MetalNet”, combined a powerful machine learning model and the graph theory to predict known and novel metal-binding sites in proteomes from prokaryotic and eukaryotic species. We biochemically validated a novel prediction without any structural or sequence homology to known metalloproteins. MetalNet will provide a unique and enabling tool for interrogating the hidden metalloproteome.
Bio: Chu Wang received Ph.D. in 2007 from University of Washington under the guidance of Professor David Baker, training in the area of computational protein structural prediction and design. He then worked as a postdoctoral fellow with Professor Benjamin Cravatt at The Scripps Research Institute, Lo Jolla, and developed multiple chemical proteomic methods to profile reactive cysteines and modifications in proteomes. In 2014, he joined Peking University as a tenure-track assistant professor of Chemical Biology and was promoted to the full professor in 2020. His research interest is to develop chemical and computational proteomics methods to enable quantitative profiling of functional enzymes, protein post-translational modifications as well as protein-ligand interactions in proteomes.
- TBC – TBC: Abstract Coming Soon.
Bio: Coming Soon.