Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets
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A Network Biology Approach to Decipher Stress Response in Bacteria Using Escherichia coli As a Model.Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery.Implications for Alzheimer's disease of an atomic resolution structure of amyloid-β(1-42) fibrils.Network analyses elucidate the role of SMYD3 in esophageal squamous cell carcinoma.Multitype Network-Guided Target Controllability in Phenotypically Characterized Osteosarcoma: Role of Tumor Microenvironment.Controlling Directed Protein Interaction Networks in Cancer.An efficient algorithm for finding all possible input nodes for controlling complex networks.Identification of driver copy number alterations in diverse cancer types and application in drug repositioning.WDNfinder: A method for minimum driver node set detection and analysis in directed and weighted biological network.Human gene essentiality.Identification of genes and critical control proteins associated with inflammatory breast cancer using network controllability.CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis.Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Structure-based control of complex networks with nonlinear dynamics.A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification.Links between critical proteins drive the controllability of protein interaction networks.Inflammatory Bowel Disease: Complexity and Variability Need Integration.Prediction of Molecular Mechanisms for LianXia NingXin Formula: A Network Pharmacology Study.Beyond degree and betweenness centrality: Alternative topological measures to predict viral targets.Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes.An integrative approach to develop computational pipeline for drug-target interaction network analysis.ESS: A Tool for Genome-Scale Quantification of Essentiality Score for Reaction/Genes in Constraint-Based ModelingLarge differences in proportions of harmful and benign amino acid substitutions between proteins and diseasesEvolution of control with learning classifier systemsEvolution of In Silico Strategies for Protein-Protein Interaction Drug DiscoveryControl energy of complex networks towards distinct mixture states
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P2860
Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 18 April 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Controllability analysis of th ...... disease genes and drug targets
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Controllability analysis of th ...... isease genes and drug targets.
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type
label
Controllability analysis of th ...... disease genes and drug targets
@en
Controllability analysis of th ...... isease genes and drug targets.
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prefLabel
Controllability analysis of th ...... disease genes and drug targets
@en
Controllability analysis of th ...... isease genes and drug targets.
@nl
P2093
P2860
P50
P356
P1476
Controllability analysis of th ...... disease genes and drug targets
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Amitabh Sharma
Arunachalam Vinayagam
Bahar Yilmazel
Travis E Gibson
Yang-Yu Liu
Young Kwon
P2860
P304
P356
10.1073/PNAS.1603992113
P407
P577
2016-04-18T00:00:00Z
P698
P818
1511.07768