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
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...
5月13日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture – Expanding the Borders of Chemical Reactivity
Abstract The lecture will demonstrate how it has been possible to expand the borders of cycloadditions beyond the “classical types of cycloadditions” applying organocatalytic activation principles....