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学术报告

学术报告会

主要完成人: 发表日期:2013-06-17 点击数:1320


时间:2013625日,2:00 PM

地点:生命学院树华多功能厅(3号楼800号)

联系人:林双君 linsj@sjtu.edu.cn

 

报告一:Elucidating the Fungal Strategy to Polyketide Biosynthesis

报告人:Prof. Tang Yi (University of California, Los Angele)

 

报告二:Coarse-Grained and All-atom Models for Proteins

报告人:Prof. Song Guang (Iowa State University)

Abstract:

Understanding protein dynamics is a key step to deciphering the functional mechanisms of proteins.  Molecular dynamics (MD) simulations and normal mode analysis (NMA) are two methods for studying protein dynamics. Yet despite the increasing computer power and computation resources, MD and NMA have strong limitations. Coarse-grained elastic network models, due to their simplicity, are thus widely used to study protein motions. Some of these models are GNM, ANM, STeM, etc. However, many coarse-grained models have a major drawback - lack of accuracy. In this talk, we will give an overview of some of these protein models, and show a simple"first-principle based" method for deriving protein models. Such models are not only easy to use, but also maintain a significantly higher accuracy than other models. An additional advantage of this first-principle based derivation of protein models is that it reveals what factors make a good model.