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Modeling Cellular Signaling Systems: An Abstraction-Refinement Approach - Softcover

 
9783846537565: Modeling Cellular Signaling Systems: An Abstraction-Refinement Approach

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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).

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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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Diana Hermith
ISBN 10: 384653756X ISBN 13: 9783846537565
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 128 pp. Englisch. Seller Inventory # 9783846537565

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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). Seller Inventory # 9783846537565

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hermith DianaGraduated 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. Seller Inventory # 5497532

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Taschenbuch. Condition: Neu. Neuware -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).Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Seller Inventory # 9783846537565

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Paperback. Condition: Brand New. 128 pages. 8.58x5.83x0.39 inches. In Stock. Seller Inventory # 384653756X

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