Automated identification of pathways from quantitative genetic interaction data.
about
A Structural Model of the Sgt2 Protein and Its Interactions with Chaperones and the Get4/Get5 ComplexStructures of the Sgt2/SGTA Dimerization Domain with the Get5/UBL4A UBL Domain Reveal an Interaction that Forms a Conserved Dynamic InterfaceTail-anchor targeting by a Get3 tetramer: the structure of an archaeal homologueGet5 Carboxyl-terminal Domain Is a Novel Dimerization Motif That Tethers an Extended Get4/Get5 ComplexCrystal structure of ATP-bound Get3–Get4–Get5 complex reveals regulation of Get3 by Get4Nuclear import of UBL-domain protein Mdy2 is required for heat-induced stress response in Saccharomyces cerevisiae.The protein targeting factor Get3 functions as ATP-independent chaperone under oxidative stress conditions.Quantitative epistasis analysis and pathway inference from genetic interaction dataSearching for synergies: matrix algebraic approaches for efficient pair screeningThe genetic basis of music abilityInducible and titratable silencing of Caenorhabditis elegans neurons in vivo with histamine-gated chloride channelsReverse engineering molecular hypergraphsQuantitative maps of genetic interactions in yeast - comparative evaluation and integrative analysisMembrane protein insertion at the endoplasmic reticulum.Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations.A map of directional genetic interactions in a metazoan cell.Progress and promise of genome-wide association studies for human complex trait geneticsWRB and CAML are necessary and sufficient to mediate tail-anchored protein targeting to the ER membrane.Chemogenomic profiling of Plasmodium falciparum as a tool to aid antimalarial drug discovery.Mechanism of Assembly of a Substrate Transfer Complex during Tail-anchored Protein Targeting.Structures of Get3, Get4, and Get5 provide new models for TA membrane protein targetingGet3 is a holdase chaperone and moves to deposition sites for aggregated proteins when membrane targeting is blocked.The cancer cell map initiative: defining the hallmark networks of cancer.Integrative genomics strategies to elucidate the complexity of drug response.A portrait of the GET pathway as a surprisingly complicated young man.Systems genetics in "-omics" era: current and future development.Secretory protein biogenesis and traffic in the early secretory pathwaySingle-cell and multivariate approaches in genetic perturbation screens.Multi-scale genetic dynamic modelling II: application to synthetic biology: an algorithmic Markov chain based approach.The emerging role of calcium-modulating cyclophilin ligand in posttranslational insertion of tail-anchored proteins into the endoplasmic reticulum membrane.A biochemical analysis of the constraints of tail-anchored protein biogenesis.Bayesian network model for identification of pathways by integrating protein interaction with genetic interaction data.Signaling hypergraphs.Dynamic network-based epistasis analysis: boolean examples.Learning directed acyclic graphs from large-scale genomics data.Mining disease fingerprints from within genetic pathways.Genetics. The DNA damage road map.Gene network inference by probabilistic scoring of relationships from a factorized model of interactions.Identifiability and inference of pathway motifs by epistasis analysis.A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family.
P2860
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P2860
Automated identification of pathways from quantitative genetic interaction data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Automated identification of pathways from quantitative genetic interaction data.
@ast
Automated identification of pathways from quantitative genetic interaction data.
@en
type
label
Automated identification of pathways from quantitative genetic interaction data.
@ast
Automated identification of pathways from quantitative genetic interaction data.
@en
prefLabel
Automated identification of pathways from quantitative genetic interaction data.
@ast
Automated identification of pathways from quantitative genetic interaction data.
@en
P2860
P50
P356
P1476
Automated identification of pathways from quantitative genetic interaction data.
@en
P2093
Alexis Battle
Martin C Jonikas
P2860
P356
10.1038/MSB.2010.27
P577
2010-06-01T00:00:00Z