Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network

Proceedings of the National Academy of Sciences of the United States of America

Volumn 100, Issue 23, 2003, Pages 13134-13139

  Famili, Iman ^a   Förster, Jochen ^b   Nielsen, Jens ^b   Palsson, Bernhard O ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA;

ARTICLE; CELL FUNCTION; COMPUTER MODEL; ELECTRON TRANSPORT; ENERGY; EUKARYOTIC CELL; GENE EXPRESSION PROFILING; GENOME ANALYSIS; KNOCKOUT GENE; NONHUMAN; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; PROKARYOTE; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE;

ADENOSINE TRIPHOSPHATE; CELL DIVISION; ELECTRON TRANSPORT; GENE DELETION; GENOME, FUNGAL; GLUCOSE; MODELS, BIOLOGICAL; MODELS, GENETIC; MODELS, THEORETICAL; PHENOTYPE; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE; THERMODYNAMICS; TIME FACTORS;

EUKARYOTA; PROKARYOTA; SACCHAROMYCES; SACCHAROMYCES CEREVISIAE;

EID: 0344824417     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.2235812100     Document Type: Article

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