Soft constraints-based multiobjective framework for flux balance analysis

Metabolic Engineering

Volumn 12, Issue 5, 2010, Pages 429-445

  Nagrath, Deepak ^a   Avila Elchiver, Marco ^b,c   Berthiaume, François ^b,d   Tilles, Arno W ^b   Messac, Achille ^e   Yarmush Martin L , M L ^b,d  

^a Rice University   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^d RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^e RUTGERS UNIVERSITY   (United States)

Author keywords

Bioartificial liver; Hepatocytes linear physical programming; Metabolic networks; Multiobjective optimization; Pareto optimality

Indexed keywords

ARTIFICIAL ORGANS; LINEAR PROGRAMMING; MAMMALS; METABOLISM; OPTIMAL SYSTEMS; PARETO PRINCIPLE; UREA;

BIOARTIFICIAL LIVER; FLUX BALANCE ANALYSIS; LINEAR PHYSICAL PROGRAMMING; METABOLIC NETWORK; MULTIOBJECTIVE APPROACH; PARETO-OPTIMALITY; PHYSICAL PROGRAMMING; VISUALIZATION FRAMEWORK;

MULTIOBJECTIVE OPTIMIZATION;

ALBUMIN; GLUTATHIONE; REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE PHOSPHATE; UREA;

ANALYTIC METHOD; ARTICLE; BIOARTIFICIAL LIVER; GENETIC ANALYSIS; GLUTATHIONE METABOLISM; LIVER FUNCTION; METABOLIC ENGINEERING; PRIORITY JOURNAL; UREA CYCLE;

MAMMALIA;

EID: 77955653535     PISSN: 10967176     EISSN: 10967184     Source Type: Journal    
DOI: 10.1016/j.ymben.2010.05.003     Document Type: Article

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