Detecting breakdown points in metabolic networks

Computational Biology and Chemistry

Volumn 35, Issue 6, 2011, Pages 371-380

  Tagore, Somnath ^a   De, Rajat K ^b  

^a D Y PATIL UNIVERSITY   (India)

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Breakdown; Graph theory; Perturbation; Resilience; Robustness

Indexed keywords

ALTERNATE PATH; BIOCHEMICAL REACTIONS; BIOLOGICAL NETWORKS; BREAKDOWN; BREAKDOWN POINTS; CARBOHYDRATE METABOLISM; COMPLEX NETWORKS; CONNECTIVITY DISTRIBUTION; DATA SETS; DEGREE OF COMPATIBILITY; DRUG DEVELOPMENT; ENVIRONMENTAL CHANGE; EXTERNAL PERTURBATIONS; GENETIC CHANGES; HOMO SAPIENS; METABOLIC NETWORK; METABOLIC PATHWAYS; MUTATIONAL CHANGES; PERTURBATION; PHYSICAL CHANGES; QUANTITATIVE APPROACH; RESILIENCE; SACCHAROMYCES CEREVISAE;

BIODIVERSITY; BIOMOLECULES; CARBOHYDRATES; GENES; GRAPH THEORY; METABOLITES; PERTURBATION TECHNIQUES; PHYSIOLOGY; ROBUSTNESS (CONTROL SYSTEMS);

METABOLISM;

ANIMAL; ARTICLE; CARBOHYDRATE METABOLISM; HUMAN; METABOLISM; SACCHAROMYCES CEREVISIAE;

ANIMALS; CARBOHYDRATE METABOLISM; HUMANS; METABOLIC NETWORKS AND PATHWAYS; SACCHAROMYCES CEREVISIAE;

HOMO SAPIENS; SACCHAROMYCES;

EID: 80755148581     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2011.10.007     Document Type: Article

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