Computational Fluid Dynamic Approach for Biological System Modeling
Weidong Huang, Chundu Wu, Bingjia Xiao, Weidong Xia
Abstract
Various biological system models have been proposed in systems biology, which are based on the complex biological reactions kinetic of various components. These models are not practical because we lack of kinetic information. In this paper, it is found that the enzymatic reaction and multi-order reaction rate is often controlled by the transport of the reactants in biological systems. A Computational Fluid Dynamic (CFD) approach, which is based on transport of the components and kinetics of biological reactions, is introduced for biological system modeling. We apply this approach to a biological wastewater treatment system for the study of metabolism of organic carbon substrates and the population of microbial. The results show that CFD model coupled with reaction kinetics is more accurate and more feasible than kinetic models for biological system modeling.
Create a lesson
Related papers
Automatic denoising and differentiation based on Savitzky-Golay filtering and Homogeneous Differentiators for attractor reconstruction via differential embedding
Uros Sutulovic, Daniele Proverbio, Rami Katz et al.
FlowLOT: Linearized Optimal Transport for Flow Cytometry Analysis
Naqib Sad Pathan, Mohammad Shifat-E-Rabbi, Kristofor E. Pas et al.
GIA: Germline-Informed Aging with AlphaGenome Finds Genetically Regulated CpGs
Sean Lim
Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning
Asal Mehradfar, Mohammad Shahab Sepehri, Owen Antholine et al.
GPCR Ligand Bioactivity Prediction with Physics-Informed Dual-State Query Learning
Shuo Zhang, Huifeng Zhang, Rongqi Hong et al.
Optical microelectrode arrays for differential readout of electrical and mechanical signals in cardiac cells
Alessandro Leronni, Rosalia Moreddu