Systems biology: the potential and promise of mathematical modeling
主 题: Systems biology: the potential and promise of mathematical modeling
报告人: Prof. Tian Tianhai (School of Mathematics and Statistics, University of Glasgow)
时 间: 2010-12-01 16:00-17:00
地 点: 理科一号楼1418
Systems biology is the science of discovering, modelling, understanding and ultimately engineering at the molecular level the dynamic relationships between the biological molecules that define living organisms. There are two major approaches in systems biology. Top-down systems biology identifies molecular interaction networks on the basis of correlated molecular behaviour observed in genome-wide ‘omics’ studies. Bottom-up systems biology examines the mechanisms through which functional properties arise in the interactions of known components. This talk will use two biological systems to demonstrate the great potential of mathematical models in systems biology. A nonlinear model will be used to reverse-engineering the dynamic regulation of p53 protein by using the microarray gene expression data and other ‘omics’ datasets. The second model is a multi-scale mathematical model which is designed to analyse the critical influence of Ras nanoclusters on the signal transmission capacity of the mitogen-activated protein (MAP) kinase pathway.