主讲人：钱紘 教授（华盛顿大学）

题目：The Physical Chemistry of the Protein as a “Data Science”：The Two Pathways from Prior to Posterior Probability (II)

（作为“数据科学”的蛋白质物理化学：由先验概率到后验分布的双途径(II)）

时间：2022年02月26日上午10：00

会议ID:（腾讯会议）304-633-262

直播链接：https://www.koushare.com/lives/room/317479

报告摘要：

To further the theory of “dual pathways”, we discuss John Kirkwood’s potential of mean force that provides a free-energy-function description of mesoscopic mechanical systems under constant temperature (c.f., a protein).  We then show large deviation analysis of stochastic chemical kinematics gives the same and much more general results, and finally its parallel description based on data.  The investigations of proteins in biophysical chemistry from 1950s to 1990s have combined prior probability, theoretical underpinnings from statistical thermodynamics, and empirical data.  This story showcases the pathway taken from prior to posterior probability, for knowledge production in the modern science of complex systems.

个人简介：

Professor Hong Qian is Olga Jung Wan Endowed Professor of Applied Mathematics at University of Washington, Seattle. He received his B.A. in Astrophysics from Peking University and Ph.D. in Biochemistry from Washington University in St. Louis, and worked as postdoctoral researcher at University of Oregon and Caltech on biophysical chemistry and mathematical biology. He was elected a fellow of the American Physical Society in 2010. Professor Qian's main research interest is the mathematical approach to and physical understanding of biological systems, especially in terms of stochastic mathematics and nonequilibrium statistical physics.