Systems-level analysis of mechanisms regulating yeast metabolic flux - Wikidata - awgldk - TriplyDB

Systems-level analysis of mechanisms regulating yeast metabolic flux

Systems-level analysis of mechanisms regulating yeast metabolic flux

http://www.wikidata.org/entity/Q33629330

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Engineering Aspergillus niger for galactaric acid production: elimination of galactaric acid catabolism by using RNA sequencing and CRISPR/Cas9 Targeted proteome analysis of single-gene deletion strains of Saccharomyces cerevisiae lacking enzymes in the central carbon metabolism.Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?Glutamine Metabolism in Cancer: Understanding the Heterogeneity.Genome-Scale Architecture of Small Molecule Regulatory Networks and the Fundamental Trade-Off between Regulation and Enzymatic Activity.An engineered photoswitchable mammalian pyruvate kinase.Genome-scale modeling of yeast: chronology, applications and critical perspectives.Metabolic robustness in young roots underpins a predictive model of maize hybrid performance in the field.Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease.Conceptualizing Eukaryotic Metabolic Sensing and Signaling.Stoichiometric Correlation Analysis: Principles of Metabolic Functionality from Metabolomics Data.Preserving protein function through reversible aggregation.Engineering central metabolism - a grand challenge for plant biologists.13C-metabolic flux analysis of ethanol-assimilating Saccharomyces cerevisiae for S-adenosyl-L-methionine production.Mass Spectrometry-Based Method to Study Inhibitor-Induced Metabolic Redirection in the Central Metabolism of Cancer Cells.A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems.Primordial Krebs-cycle-like non-enzymatic reactions detected by mass spectrometry and nuclear magnetic resonance Metabolomics and Isotope Tracing Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts Evolution of gene knockout strains of E. coli reveal regulatory architectures governed by metabolism Computational prediction of changes in brain metabolic fluxes during Parkinson's disease from mRNA expression Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks

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Systems-level analysis of mechanisms regulating yeast metabolic flux

http://www.wikidata.org/entity/Q33629330

description

2016 nî lūn-bûn

@nan

2016 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2016 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

name

Systems-level analysis of mechanisms regulating yeast metabolic flux

@ast

Systems-level analysis of mechanisms regulating yeast metabolic flux

@en

type

label

Systems-level analysis of mechanisms regulating yeast metabolic flux

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Systems-level analysis of mechanisms regulating yeast metabolic flux

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prefLabel

Systems-level analysis of mechanisms regulating yeast metabolic flux

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Systems-level analysis of mechanisms regulating yeast metabolic flux

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SCIENCE.AAF2786

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P1476

Systems-level analysis of mechanisms regulating yeast metabolic flux

@en

P2093

David Botstein

http://www.w3.org/2001/XMLSchema#string

David H Perlman

http://www.w3.org/2001/XMLSchema#string

Jonathan Goya

http://www.w3.org/2001/XMLSchema#string

Joshua D Rabinowitz

http://www.w3.org/2001/XMLSchema#string

Sean R Hackett

http://www.w3.org/2001/XMLSchema#string

Wenxin Xu

http://www.w3.org/2001/XMLSchema#string

P2860

BRENDA, the enzyme information system in 2011

Functional organization of the S. cerevisiae phosphorylation network

ChEBI: a database and ontology for chemical entities of biological interest

Accurate quantitation of protein expression and site-specific phosphorylation

Statistical significance for genomewide studies

Characterization of the metabolic shift between oxidative and fermentative growth in Saccharomyces cerevisiae by comparative 13C flux analysis.

New types of experimental data shape the use of enzyme kinetics for dynamic network modeling

Pyruvate kinase M2 is a phosphotyrosine-binding protein

Yeast Pif1 helicase exhibits a one-base-pair stepping mechanism for unwinding duplex DNA

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics

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scholarly article

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10.1126/SCIENCE.AAF2786

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6311

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354

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Junyoung O Park

Patrick A Gibney

Vito R T Zanotelli

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2016-10-27T00:00:00Z

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27789812

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5414049

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