Identifying metabolic enzymes with multiple types of association evidence.
about
Identification of genes encoding tRNA modification enzymes by comparative genomicsReconstruction and validation of RefRec: a global model for the yeast molecular interaction network.The CanOE strategy: integrating genomic and metabolic contexts across multiple prokaryote genomes to find candidate genes for orphan enzymesPrediction and identification of sequences coding for orphan enzymes using genomic and metagenomic neighboursThe MORPH-R web server and software tool for predicting missing genes in biological pathways.Systematic assignment of thermodynamic constraints in metabolic network models.Classification of microarray data using gene networksAn improved method for identifying functionally linked proteins using phylogenetic profiles.Genome-scale models of bacterial metabolism: reconstruction and applications.GrowMatch: an automated method for reconciling in silico/in vivo growth predictionsEvolutionary constraints permeate large metabolic networksA systematic study of genome context methods: calibration, normalization and combination.Genome-wide discovery of missing genes in biological pathways of prokaryotes.Network-based scoring system for genome-scale metabolic reconstructionsSynergistic use of plant-prokaryote comparative genomics for functional annotationsThe human metabolic reconstruction Recon 1 directs hypotheses of novel human metabolic functionsAutomatic policing of biochemical annotations using genomic correlationsReconstruction and flux-balance analysis of the Plasmodium falciparum metabolic network.'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find itCINPER: an interactive web system for pathway prediction for prokaryotesThe growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.Semi-automated curation of metabolic models via flux balance analysis: a case study with Mycoplasma gallisepticumSystematizing the generation of missing metabolic knowledge.Chromosomal periodicity of evolutionarily conserved gene pairs.Gap detection for genome-scale constraint-based models.Computational prediction and experimental verification of the gene encoding the NAD+/NADP+-dependent succinate semialdehyde dehydrogenase in Escherichia coli.Developing of the Computer Method for Annotation of Bacterial Genes.Making the connections--the crucial role of metabolite transporters at the interface between chloroplast and cytosol.Global probabilistic annotation of metabolic networks enables enzyme discovery.EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.Missing gene identification using functional coherence scoresGene expression profiling and the use of genome-scale in silico models of Escherichia coli for analysis: providing context for content.Genome-scale metabolic networks.Profiling the orphan enzymes.Pantograph: A template-based method for genome-scale metabolic model reconstruction.Genome scale models of yeast: towards standardized evaluation and consistent omic integration.Constructing module maps for integrated analysis of heterogeneous biological networks.Genome-scale metabolic models as platforms for strain design and biological discovery.Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolites.Use of a global metabolic network to curate organismal metabolic networks.
P2860
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P2860
Identifying metabolic enzymes with multiple types of association evidence.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մարտին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Identifying metabolic enzymes with multiple types of association evidence.
@ast
Identifying metabolic enzymes with multiple types of association evidence.
@en
type
label
Identifying metabolic enzymes with multiple types of association evidence.
@ast
Identifying metabolic enzymes with multiple types of association evidence.
@en
prefLabel
Identifying metabolic enzymes with multiple types of association evidence.
@ast
Identifying metabolic enzymes with multiple types of association evidence.
@en
P2093
P2860
P356
P1433
P1476
Identifying metabolic enzymes with multiple types of association evidence.
@en
P2093
Dennis Vitkup
Lifeng Chen
Peter Kharchenko
Yoav Freund
P2860
P2888
P356
10.1186/1471-2105-7-177
P577
2006-03-29T00:00:00Z
P5875
P6179
1025318110