Cryo-EM detects protein conformations froze in solution, and thus provides a promising way to characterize these conformational changes. In order to detect the conformational change, we developed a new algorithm to obtain multiple conformations and their populations from Cryo-EM datasets. In our algorithm, we constructed our “basis set” (as templates) by applying Molecular Dynamics (MD) simulations to widely search the conformational space, and then perform the fast assignment of experimental Cryo-EM 2D images to a set of reference 2D images generated by these basis-set structures. We find that our algorithm holds promise to be widely applied to elucidate the dynamic ensemble of protein conformations from Cryo-EM datasets.
5月14日
5pm - 6pm
地点
https://hkust.zoom.us/j/98675423362
讲者/表演者
Mr. Hanlin GU
HKUST
主办单位
Department of Mathematics
联系方法
mathseminar@ust.hk
付款详情
对象
Alumni, Faculty and Staff, PG Students, UG Students
语言
英语
其他活动
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研讨会, 演讲, 讲座
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5月24日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Confinement Controlled Electrochemistry: Nanopore beyond Sequencing
Abstract Nanopore electrochemistry refers to the promising measurement science based on elaborate pore structures, which offers a well-defined geometric confined space to adopt and characterize sin...