Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/16707
Title: Modeling chemotaxis in bacterial populations
Authors: VINAYAK DORAISWAMY
Keywords: BACTERIAL CHEMOTAXIS, MATHEMATICAL MODELING, SIMULATION, COMPUTATIONAL CELL BIOLOGY
Issue Date: 27-Dec-2008
Source: VINAYAK DORAISWAMY (2008-12-27). Modeling chemotaxis in bacterial populations. ScholarBank@NUS Repository.
Abstract: In recent years there has been considerable progress in computational cell biology and this has given researchers powerful tools to simulate metabolic, genetic and signal transduction networks. However, there has been little development in designing computational tools to enable biologically realistic simulations of systems comprising many interacting biological cells. The necessity to model large ensembles of interacting cells commonly arises in studies of disease pathology, cancer progression , embryonic development, wound healing and many other important biological processes. Here a bacterial cooperative phenomenon as seen in chemotaxis and quorum formation is investigated. The model developed here is an extension of an existing probabilistic model that described bacterial behavior at a single cell level. This model simulates the trajectories of a collection of individual bacteria whose motion was dictated by a probabilistic term This term controls the frequency of runs and tumbles that are characteristic of most bacterial motion and is dependent on chemoattractant gradient and other individual bacterial velocity, chemotactic sensitivity and basal tumbling probability and derives from them characteristics such as chemotactic velocity and bacterial diffusivity.
URI: http://scholarbank.nus.edu.sg/handle/10635/16707
Appears in Collections:Master's Theses (Open)

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