Mixed-integer nonlinear optimisation approach to coarse-graining biochemical networks

IET Systems Biology

Volumn 3, Issue 1, 2009, Pages 24-39

  Maurya, M R ^a   Bornheimer, S J ^b,c   Venkatasubramanian, V ^d   Subramaniam, S ^a,b,c  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE ESTIMATIONS; BIO-CHEMICAL SYSTEMS; BIOCHEMICAL MECHANISMS; BIOCHEMICAL MODELS; BIOCHEMICAL NETWORKS; BIPHASIC; COARSE-GRAINED MODELS; COARSE-GRAINING; COMPUTATIONAL ANALYSIS; DETAILED MODELS; EXPERIMENTAL DATUM; G PROTEINS; GTPASE-ACTIVATING PROTEINS; INHERENT COMPLEXITY; MATHEMATICAL DESCRIPTIONS; MUSCARINIC ACETYLCHOLINE RECEPTORS; NON LINEARITIES; NONLINEAR OPTIMISATION; OPTIMISATION; PARAMETER VALUES; QUALITY DATUM; REACTION NETWORKS; REDUCED-ORDER MODELS;

FUNCTIONS; GAS BURNERS; PROGRAMMING THEORY;

INTEGER PROGRAMMING;

ALGORITHMS; BIOCHEMICAL PHENOMENA; COMPUTER SIMULATION; GTP PHOSPHOHYDROLASES; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; SIGNAL TRANSDUCTION;

EID: 58849115471     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb:20080098     Document Type: Article

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