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PDFOpen Access (License Unspecified), Open Access
Thesis
Integrated framework to model cellular phenotype as a component of biochemical networks
Master of Science (M.S.), Drexel University
Mar 2008
DOI:
https://doi.org/10.17918/etd-4329
Abstract
Identification of important molecules in a biological pathway is a critical step in rationally developing targets for manipulating cellular behavior. Computational models that interlink the molecular expression in cellular networks to the phenotypes offer a handle on the important regulatory aspects of the cellular behavior. In the present study, we developed an approach based on fuzzy logic to express the cellular phenotype as a function of the gene expression ratios. Using micro-array data from the Yeast cell cycle studies, we developed an integrated model that treats the phenotypic data in the same manner as the gene expression profiles. Iterative simulations using the network model, mimicking experimental approaches, provided insights to help identify molecules that are most important for the control of the phenotype. These high-impact molecules are likely to make good targets for knockout experiments that are aimed at altering the phenotype or cell behavior.
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Details
- Title
- Integrated framework to model cellular phenotype as a component of biochemical networks
- Creators
- Viswanadha U. Akella - DU
- Contributors
- Aydin Tözeren (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University
- Other Identifier
- 4329; 991014632729604721