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Genome-scale screening of drug-target associations relevant to Ki using a chemogenomics approachLeveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associationsPrediction of Genetic Interactions Using Machine Learning and Network PropertiesDrug-induced regulation of target expressionDrug discovery using chemical systems biology: identification of the protein-ligand binding network to explain the side effects of CETP inhibitorsPrediction of drug combinations by integrating molecular and pharmacological dataNetwork neighbors of drug targets contribute to drug side-effect similarityA side effect resource to capture phenotypic effects of drugsDrug target identification using side-effect similaritySystematic identification of proteins that elicit drug side effectsComputational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features.BioGPS: The Music for the Chemo- and Bioinformatics Walzer.Identifying tinnitus-related genes based on a side-effect network analysis.Finding the targets of a drug by integration of gene expression data with a protein interaction network.FragmentStore--a comprehensive database of fragments linking metabolites, toxic molecules and drugs.A network flow approach to predict drug targets from microarray data, disease genes and interactome network - case study on prostate cancerRole of systems pharmacology in understanding drug adverse events.Computational Study of Drugs by Integrating Omics Data with Kernel Methods.A computational drug-target network for yuanhu zhitong prescriptionComputational and experimental approaches to chart the Escherichia coli cell-envelope-associated proteome and interactome.Molecular networks for the study of TCM pharmacology.Molecular networks in drug discovery.Chemical-protein interactome and its application in off-target identification.Building a drug-target network and its applications.Similarity-based machine learning methods for predicting drug-target interactions: a brief review.Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.Drug-target interaction prediction via chemogenomic space: learning-based methods.LEARNING PARSIMONIOUS ENSEMBLES FOR UNBALANCED COMPUTATIONAL GENOMICS PROBLEMS.Construction of a genome-scale metabolic network of the plant pathogen Pectobacterium carotovorum provides new strategies for bactericide discovery.Toward more realistic drug-target interaction predictions.Drug repurposing based on drug-drug interaction.DrugBank and its relevance to pharmacogenomics.Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information.A microfluidic linear node array for the study of protein-ligand interactions.Computational Methods to Support Fragment-based Drug Discovery
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Large-scale prediction of drug-target relationships
@ast
Large-scale prediction of drug-target relationships
@en
type
label
Large-scale prediction of drug-target relationships
@ast
Large-scale prediction of drug-target relationships
@en
prefLabel
Large-scale prediction of drug-target relationships
@ast
Large-scale prediction of drug-target relationships
@en
P2860
P50
P921
P3181
P1433
P1476
Large-scale prediction of drug-target relationships
@en
P2093
Michael Kuhn
Paula González
P2860
P304
P3181
P356
10.1016/J.FEBSLET.2008.02.024
P407
P577
2008-02-20T00:00:00Z