题目：Computational prediction of RNA 3D structure

报告人：陈世杰

邀请人：李敬源

时间：2023年6月30日（周五），上午9：30

地点：紫金港校区西区海纳苑8幢215报告厅 

Abstract: Emerging biomedical advances, such as precision medicine and synthetic biology, point to RNA as the central regulator and information carrier. We are interested in predicting RNA structure, stability, and kinetics from the nucleotide sequence and computational design of molecules for therapeutic applications. For example, given the limited availability of known structures, how can we predict the native fold from the sequence? For a given RNA, how can we predict RNA-drug interactions? Using physics-based methods and deep learning techniques, we have recently developed new approaches to tackle these problems. I will describe some of these new advances in the talk.

Biography: 

Professor Chen received his PhD in Physics from the University of California, San Diego in 1994, studying non-equilibrium statistical physics and theoretical plasma physics. He was elected as Fellow of the American Physical Society (APS) in 2012 and Fellow of the American Association for the Advancement of Science (AAAS) in 2018. He is Associate Editor for PLoS-Computational Biology and Editorial Board Member for The Journal of Biological Chemistry. He is a Founding Board Member for The International Society of RNA Nanotechnology and Nanomedicine(ISRNN), and hosts multiple NIH and NSF projects. His research interests include prediction of RNA structure and functions and computational design of RNA-based therapeutic strategies.

欢迎老师和同学们参加！