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
5:00pm - 6:00pm
地點
https://hkust.zoom.us/j/98675423362
講者/表演者
Mr. Hanlin GU
HKUST
主辦單位
Department of Mathematics
聯絡方法
mathseminar@ust.hk
付款詳情
對象
Alumni, Faculty and Staff, PG Students, UG Students
語言
英語
其他活動
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