A graphical method for mapping bioregulatory networks is presented that is suited for the representation of multimolecular complexes, protein modifications, as well as actions at cell membranes and between protein domains. The symbol conventions defined for these molecular interaction maps are designed to accommodate multiprotein assemblies and protein modifications that can generate combinatorially large numbers of molecular species. Diagrams can either be “heuristic,” meaning that detailed knowledge of all possible reaction paths is not required, or “explicit,” meaning that the diagrams are totally unambiguous and suitable for simulation. Interaction maps are linked to annotation lists and indexes that provide ready access to pertinent data and references, and that allow any molecular species to be easily located. Illustrative interaction maps are included on the domain interactions of Src, transcription control of E2F-regulated genes, and signaling from receptor tyrosine kinase through phosphoinositides to Akt/PKB. A simple method of going from an explicit interaction diagram to an input file for a simulation program is outlined, in which the differential equations need not be written out. The role of interaction maps in selecting and defining systems for modeling is discussed.
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March 2001
Research Article|
March 01 2001
Molecular interaction maps as information organizers and simulation guides
Kurt W. Kohn
Kurt W. Kohn
Laboratory of Molecular Pharmacology, Division of Basic Sciences, National Cancer Institute, Bethesda, Maryland 20892
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Chaos 11, 84–97 (2001)
Article history
Received:
July 14 2000
Accepted:
November 07 2000
Citation
Kurt W. Kohn; Molecular interaction maps as information organizers and simulation guides. Chaos 1 March 2001; 11 (1): 84–97. https://doi.org/10.1063/1.1338126
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