BME101 BioInfo_2024Fall
Multiscale Modeling Overview
Presenter: Zhangli Peng, Department of Biomedical Engineering, University of Illinois Chicago (Oct 8, 2024)
Understanding Cell Mechanics
Cell Structure Components:
Roof Purlin, Fly Bracing, Beam Column Joints, Microtubule, Cell Membrane, Actin Filament, etc.
Industrial Applications
Modeling in Vehicle & Building Design:
Use of LS-DYNA for finite element simulations such as crash tests (e.g., Driver-side small overlap IIHS test).
Challenges in Modeling Living Materials
Difficulties:
Large visco-hyperelastic deformation
Dynamic self-assembly of structures
Entropy calculations and reaction path identification
Modeling non-equilibrium processes
Complex hierarchical structures (e.g., proteins, DNA)
Comparing experiments with high error margins due to heterogeneity
Fluid modeling (importance of water in life)
Addressing Challenges
Opportunities through Data:
Growth in molecular data via genomics, cryoEM, and more
Advancements in multiscale methods utilizing machine learning
Enhanced computational approaches for modeling biology
Red Blood Cell (RBC) Mechanics
Shape and Strength:
Importance of RBC shape in filtration and mechanical properties
Diseases related to RBC deformation (e.g., hereditary spherocytosis).
Mechanical Filtration Process
Filtration through the Spleen:
RBCs navigate through microcirculation, influenced by physical structures such as fibers and endothelial cells.
Motivation for Research on RBC Diseases
Global Impact:
Health issues affecting over 1 billion people from RBC diseases like malaria and sickle cell anemia.
Experimental Validation
Comparative Analysis:
Studies validating deformed shapes of RBCs against experimental data (e.g., Moreau et al.).
Advances in Proteomic Data
New Discoveries:
Insights into protein abundance and stoichiometry (e.g., Spectrin prevalence)
Spectrin and Cytoskeletal Structure
Spectrin Orientation:
Understanding geometrical aspects of RBC deformation supported by recent CryoEM data.
Mechanical Aging of RBCs
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Research Findings:
Effects of previous constrictions on cell density and sphericity index, implications for aging.
Applications and Future Directions
Bioengineering Innovations:
Modeling cancer cell behavior, drug delivery mechanisms, and other biomedical applications through advanced fluid modeling techniques.