cellular sample remain unidentified. Furthermore, the biochemical connectivity between such novel metabolites has been impossible to assess. Even well known and intensely studied biosynthetic pathways have proven difficult to survey comprehensively. For example, the last biosynthetic enzyme of mammalian cholesterol biosynth-Opinion TRENDS in Biotechnology Vol.24 No.12to gene expression microarrays, difficult [1–3]. The lack of unifying principles (such as the genetic code) that would assist molecule identification, comparison and causal connection is another important challenge. Hence, although whole-genome information has been used to infer the global metabolic network structure within entire organisms, such efforts have been limited to we...
Traditional biochemical research has resulted in a good understanding of many aspects of metabolism....
The computational reconstruction and analysis of cellular models of microbial metabolism is one of t...
BACKGROUND: Metabolic network reconstructions formalize our knowledge of metabolism. Gaps in these n...
Diverse health challenges such as rising incidence of metabolic disease, rapid aging, and increasing...
Genome sequencing efforts have revealed a strikingly large number of uncharacterized genes, includin...
Technological advances in analytical instrumentation and advances in data modeling are working in sy...
Metabolism is the set of chemical reactions that occur in living systems that make life possible [1]...
Genome sequencing efforts have revealed a strikingly large number of uncharacterized genes, includin...
Reconstructing metabolic pathways has long been a focus of active research. Now, draft models can be...
Advent and continual refinement of liquid chromatography mass spectrometry (LC-MS) technology has ai...
AbstractIncreases in throughput and decreases in costs have facilitated large scale metabolomics stu...
Over the past decades, pathway analysis has become one of the most commonly used approaches for the ...
The goals of metabolic engineering are well-served by the biological information provided by metabol...
Our understanding of metabolic networks is incomplete, and new enzymatic activities await discovery ...
Metagenomics is the study of organismal DNA sequences obtained from an environmental sample. Metagen...
Traditional biochemical research has resulted in a good understanding of many aspects of metabolism....
The computational reconstruction and analysis of cellular models of microbial metabolism is one of t...
BACKGROUND: Metabolic network reconstructions formalize our knowledge of metabolism. Gaps in these n...
Diverse health challenges such as rising incidence of metabolic disease, rapid aging, and increasing...
Genome sequencing efforts have revealed a strikingly large number of uncharacterized genes, includin...
Technological advances in analytical instrumentation and advances in data modeling are working in sy...
Metabolism is the set of chemical reactions that occur in living systems that make life possible [1]...
Genome sequencing efforts have revealed a strikingly large number of uncharacterized genes, includin...
Reconstructing metabolic pathways has long been a focus of active research. Now, draft models can be...
Advent and continual refinement of liquid chromatography mass spectrometry (LC-MS) technology has ai...
AbstractIncreases in throughput and decreases in costs have facilitated large scale metabolomics stu...
Over the past decades, pathway analysis has become one of the most commonly used approaches for the ...
The goals of metabolic engineering are well-served by the biological information provided by metabol...
Our understanding of metabolic networks is incomplete, and new enzymatic activities await discovery ...
Metagenomics is the study of organismal DNA sequences obtained from an environmental sample. Metagen...
Traditional biochemical research has resulted in a good understanding of many aspects of metabolism....
The computational reconstruction and analysis of cellular models of microbial metabolism is one of t...
BACKGROUND: Metabolic network reconstructions formalize our knowledge of metabolism. Gaps in these n...