A computational model for the identification of biochemical pathways in the Krebs cycle

Journal of Computational Biology

Volumn 10, Issue 1, 2003, Pages 57-82

  Oliveira, Joseph S ^a   Bailey, Colin G ^b   Jones Oliveira, Janet B ^a   Dixon, David A ^c   Gull, Dean W ^d   Chandler, Mary L ^e  

^a National Security Directorate   (United States)

^b VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^d SOUTHERN UTAH UNIVERSITY   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Circuit; Complex formation; Cycle; Directed graph; Distribution; Enzyme reaction; Equilibrium; Gaussian; Hyperdigraph; Krebs cycle; Molecular reaction; Network; Null space; Petri net; Signaling subcircuit; Spanning tree; TCA cycle; Unique minimal cycle

Indexed keywords

ACETYL COENZYME A; CARBON DIOXIDE; FLAVINE ADENINE NUCLEOTIDE; NICOTINAMIDE ADENINE DINUCLEOTIDE ADENOSINE DIPHOSPHATE RIBOSYLTRANSFERASE INHIBITOR; REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE;

ALGORITHM; ANALYTIC METHOD; ARTICLE; CALCULATION; CHEMICAL ANALYSIS; CHEMICAL REACTION; CITRIC ACID CYCLE; DECOMPOSITION; MATHEMATICAL MODEL; METABOLISM; MODEL; OXIDATION; PRIORITY JOURNAL; SIGNAL PROCESSING; STATISTICAL ANALYSIS; TECHNIQUE; VALIDATION PROCESS;

ALGORITHMS; CITRIC ACID CYCLE; COMPUTER SIMULATION; METABOLISM; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MULTIENZYME COMPLEXES; SIGNAL TRANSDUCTION;

EID: 0037228262     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/106652703763255679     Document Type: Article

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