Search Results - "Palsson, O"
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Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways
Published in PLoS computational biology (01-08-2015)“…Escher is a web application for visualizing data on biological pathways. Three key features make Escher a uniquely effective tool for pathway visualization…”
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Positively charged mineral surfaces promoted the accumulation of organic intermediates at the origin of metabolism
Published in PLoS computational biology (01-08-2022)“…Identifying plausible mechanisms for compartmentalization and accumulation of the organic intermediates of early metabolic cycles in primitive cells has been a…”
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Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
Published in Nature reviews. Microbiology (27-02-2012)“…Key Points Our understanding of genotype–phenotype relationships has classically been qualitative, but recent advances are enabling us to overcome conceptual…”
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Constraint-based models predict metabolic and associated cellular functions
Published in Nature reviews. Genetics (01-02-2014)“…Key Points Understanding the genotype–phenotype relationship of a cell has been a long-standing goal in biology. The availability of genome sequencing and of…”
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The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology
Published in Metabolic engineering (01-12-2019)“…Harnessing the process of natural selection to obtain and understand new microbial phenotypes has become increasingly possible due to advances in culturing…”
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Reconstruction of biochemical networks in microorganisms
Published in Nature reviews. Microbiology (01-02-2009)“…Key Points Our ability to reconstruct genome-scale metabolic networks in microbial cells from genomic and high-throughput data has grown substantially in…”
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Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments
Published in PLoS computational biology (01-06-2016)“…The costs and benefits of protein expression are balanced through evolution. Expression of un-utilized protein (that have no benefits in the current…”
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The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli
Published in Nature biotechnology (01-06-2008)“…The number and scope of methods developed to interrogate and use metabolic network reconstructions has significantly expanded over the past 15 years. In…”
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Using Genome-scale Models to Predict Biological Capabilities
Published in Cell (21-05-2015)“…Constraint-based reconstruction and analysis (COBRA) methods at the genome scale have been under development since the first whole-genome sequences appeared in…”
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Antibiotic-Induced Changes to the Host Metabolic Environment Inhibit Drug Efficacy and Alter Immune Function
Published in Cell host & microbe (13-12-2017)“…Bactericidal antibiotics alter microbial metabolism as part of their lethality and can damage mitochondria in mammalian cells. In addition, antibiotic…”
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Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
Published in Nature communications (11-12-2020)“…The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm…”
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Drug off-target effects predicted using structural analysis in the context of a metabolic network model
Published in PLoS computational biology (01-09-2010)“…Recent advances in structural bioinformatics have enabled the prediction of protein-drug off-targets based on their ligand binding sites. Concurrent…”
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The Escherichia coli transcriptome mostly consists of independently regulated modules
Published in Nature communications (04-12-2019)“…Underlying cellular responses is a transcriptional regulatory network (TRN) that modulates gene expression. A useful description of the TRN would decompose the…”
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COBRApy: COnstraints-Based Reconstruction and Analysis for Python
Published in BMC systems biology (08-08-2013)“…COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and…”
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COBRAme: A computational framework for genome-scale models of metabolism and gene expression
Published in PLoS computational biology (05-07-2018)“…Genome-scale models of metabolism and macromolecular expression (ME-models) explicitly compute the optimal proteome composition of a growing cell. ME-models…”
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Genome-wide Reconstruction of OxyR and SoxRS Transcriptional Regulatory Networks under Oxidative Stress in Escherichia coli K-12 MG1655
Published in Cell reports (Cambridge) (25-08-2015)“…Three transcription factors (TFs), OxyR, SoxR, and SoxS, play a critical role in transcriptional regulation of the defense system for oxidative stress in…”
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Individual risk assessment and information technology to optimise screening frequency for diabetic retinopathy
Published in Diabetologia (01-10-2011)“…Aims/hypothesis The aim of this study was to reduce the frequency of diabetic eye-screening visits, while maintaining safety, by using information technology…”
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Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
Published in Nature communications (07-12-2018)“…Knowing the catalytic turnover numbers of enzymes is essential for understanding the growth rate, proteome composition, and physiology of organisms, but…”
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Adaptive Evolution of Escherichia coli K-12 MG1655 during Growth on a Nonnative Carbon Source, L-1,2-Propanediol
Published in Applied and Environmental Microbiology (01-07-2010)“…Laboratory adaptive evolution studies can provide key information to address a wide range of issues in evolutionary biology. Such studies have been limited…”
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Deciphering Fur transcriptional regulatory network highlights its complex role beyond iron metabolism in Escherichia coli
Published in Nature communications (15-09-2014)“…The ferric uptake regulator (Fur) plays a critical role in the transcriptional regulation of iron metabolism. However, the full regulatory potential of Fur…”
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