Modeling Cellular Signaling Systems

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At the cellular level, theorize about the molecular mechanisms of cells to communicate with the environment implies to take into consideration concurrent processes, elements, and relationships that define the functionality of cells over time. The cell-membrane, the surface that acts as a boundary contains many receptors which are responsible for interacting with diverse signaling molecules and recognize external information that affects the behavior in a cell. Each receptor detects specific molecules that may bind to it, which activates signaling pathways that regulate molecular mechanisms, the flow and the processing of biochemical information. There is a special class of receptors that constitutes a common target of pharmaceutical drugs, the G protein-coupled receptors (GPCRs). These receptors interact with their respective Guanine nucleotide-binding proteins (G Proteins) to induce an intracellular signaling. In this thesis we study, in a compositional way, interesting biological scenarios in the context of signaling biochemical networks by using the nTCC calculus, a non-deterministic temporal extension of Concurrent Constraint Programming (CCP).

Autorentext

Graduated with an honors master degree in Computer Science. With a Bachelor Science degree in Molecular Biology and in Science, Technology and Society. Interested to understand the integration and the interactions of the components in biological systems. A scientist and humanist, who thinks about the complexity and the expression of life.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783846537565
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B150mm x T9mm
    • Jahr 2011
    • EAN 9783846537565
    • Format Kartonierter Einband
    • ISBN 384653756X
    • Veröffentlichung 15.11.2011
    • Titel Modeling Cellular Signaling Systems
    • Autor Diana Hermith
    • Untertitel An Abstraction-Refinement Approach
    • Gewicht 209g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 128
    • Genre Informatik

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