Ontological Study of Metabolic Networks to Develop an Identification Software for Metabolic Networks

Mohammadi Peyhani, Homa | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48872 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bozorgmehry Boozarjomehry, Ramin
  7. Abstract:
  8. Simulation of biological behaviors as the pre requirement for control and optimization, especially for recognition and treating diseases, requires studying involved reactions which may or may not be accessible. In the other side, finding the correct network structures and related mathematical expressions to simulate biological behaviors is a complicated problem due to multi aspect interactions among biological reactions, which imply an approach that integrate the knowledge coming from multiple discipline including biological concepts, mathematical modelling, bioinformatics and advanced programming. In this study we aim to analyze this problem using ontological inference to develop a multi-agent object-oriented framework for identification of the metabolic network structures and estimation of related parameters
  9. Keywords:
  10. Database ; Ontology ; Biological Systems ; Biology ; Object-Oriented Software Framework ; Metabolic Networks

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