Assessing drug target association using semantic linked data
about
An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and DisciplinesPractice and Challenges of Building a Semantic Framework for Chemogenomics ResearchThe ChEMBL database as linked open dataOptimizing drug–target interaction prediction based on random walk on heterogeneous networksDASPfind: new efficient method to predict drug–target interactionsNeighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction PredictionAn Integrated Data Driven Approach to Drug Repositioning Using Gene-Disease AssociationsKnowledge Discovery from Biomedical Ontologies in Cross DomainsA survey of current trends in computational drug repositioningPredicting drug target interactions using meta-path-based semantic network analysisGFVO: the Genomic Feature and Variation OntologyEffects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction.Drug repositioning by integrating target information through a heterogeneous network model.Drug2Gene: an exhaustive resource to explore effectively the drug-target relation networkDrugGenEx-Net: a novel computational platform for systems pharmacology and gene expression-based drug repurposing.Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations.Mining integrated semantic networks for drug repositioning opportunitiessNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptidesIdentifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensus.Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.Computational approaches for innovative antiepileptic drug discovery.Predicate Oriented Pattern Analysis for Biomedical Knowledge Discovery.DDR: Efficient computational method to predict drug-target interactions using graph mining and machine learning approaches.Computational approaches to chemical hazard assessment.Web-based drug repurposing tools: a survey.
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P2860
Assessing drug target association using semantic linked data
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2012 nî lūn-bûn
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2012 թուականին հրատարակուած գիտական յօդուած
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2012 թվականին հրատարակված գիտական հոդված
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2012年の論文
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2012年学术文章
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2012年学术文章
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name
Assessing drug target association using semantic linked data
@ast
Assessing drug target association using semantic linked data
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Assessing drug target association using semantic linked data
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type
label
Assessing drug target association using semantic linked data
@ast
Assessing drug target association using semantic linked data
@en
Assessing drug target association using semantic linked data
@nl
prefLabel
Assessing drug target association using semantic linked data
@ast
Assessing drug target association using semantic linked data
@en
Assessing drug target association using semantic linked data
@nl
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Assessing drug target association using semantic linked data
@en
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P2860
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10.1371/JOURNAL.PCBI.1002574
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P577
2012-01-01T00:00:00Z