太阳集团见好就收9728定量生物学中心

学术报告

题    目: 蛋白质定量生物学：数据科学的样板

Quantitative Biology of Protein: A Paradigm for Data Science

报告人: Professor Hong Qian

Olga Jung Wan Professor of Applied Mathematics, Department of Applied Mathematics, University of Washington, Seattle

时    间: 7月6日（周四）13:00-14:00

地    点: 吕志和楼B101

主持人: 李志远 研究员

摘 要:

There is no doubt that an area within biophysical chemistry, known as protein science, has its theoretical, mathematical foundation in Gibbsian statistical thermodynamics.  That theory has been more than 100 years old.  I shall review how “protein science” has been practiced in modern biological laboratories that work on individual proteins, such as hemoglobin, RNA polymerase, and/or sodium channel, and suggest a recipe for employing the same scientific activities for studying cells and even brains.   There is one important theoretical alternation that has to be made: A wholesale replacement of the notion of internal mechanical energy that was first introduced in the First Law of Thermodynamics in the 19th century by a statistical energy concept that can be established based on big data.

报告人简介：

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 current research interest is the probabilistic foundation of statistical equilibrium and nonequilibrium thermodynamics and their applications in biology.  His recent, coauthored book “Stochastic Chemical Reaction Systems in Biology” was recently published by Springer.