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环境学术沙龙第665期:地球典型环境系统中有机气溶胶的来源与辐射效应
工业生物催化论坛-微生物基因组编辑与绿色化学应用
第457期“工物学术论坛”:小型中微子探测器的成就、发展和前景
第456期“工物学术论坛”:Leveraging 3D magnetic topologies in support oflong-...
报告题目:
Multiscale Modeling in Biomechanics and Biology: Molecular to Continuum
 报告人:
Yuhua Song
Department of Biomedical Engineering
The University of Alabama at Birmingham
USA
报告时间:
2007-07-18 10:00
报告地点:
机械系焊接馆301
主办单位:
机械工程系
  简介:

Biological systems function cooperatively across different spatial and temporal scales, from nanoscale biomolecules to microscale cells, and to macroscale tissues and organs. To understand biological function mechanisms it is important to study biological systems in a multiscale fashion. Multiscale modeling is an approach to understanding the biomechanics, biophysics and biochemistry underlying biological systems by integrating computational models from the molecular to the continuum level across widely different spatial and temporal scales.

The seminar will begin by introducing research efforts into modeling biological systems at the biomolecule, biomembrane, tissue and organ levels. The focus of the presentation is a biomembrane modeling project that aims at understanding the molecular mechanisms of the effect of salicylate (metabolite of aspirin) on hearing through influences on outer hair cell electromotility. In this study, we investigated the effect of salicylate on the microscopic and mesoscopic properties of a biological membrane via atomically-detailed molecular dynamics simulations. The results show that salicylate influences the electrostatic properties of a lipid bilayer, with significant changes at the water-lipid bilayer interface. However, salicylate does not significantly alter the mechanical properties of the lipid bilayer. The observations from the study are in qualitative agreement with experimental data.

The final goal of future research is to realize multiscale modeling by coupling atomically detailed models with continuum models in order to study biological events across different spatial and temporal scales. This will allow us to understand biological system functions and injury mechanisms.

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