Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations

scientific article

Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/ZongKNH17
P356DOI10.1093/BIOINFORMATICS/BTX160
P932PMC publication ID5860112
P698PubMed publication ID28430977

P50authorOlivier HarismendyQ64355285
Hyeoneui KimQ57678468
P2093author name stringVictoria Ngo
Nansu Zong
P2860cites workOnline Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disordersQ24558589
DrugBank: a knowledgebase for drugs, drug actions and drug targetsQ24650300
The human disease networkQ24678240
Optimizing drug–target interaction prediction based on random walk on heterogeneous networksQ27902299
Bio2RDF: Towards a mashup to build bioinformatics knowledge systemsQ27921271
Assessing drug target association using semantic linked dataQ28480992
Prediction of drug-target interactions and drug repositioning via network-based inferenceQ28483634
Linked data – the story so farQ29301445
Drug-target networkQ29614447
Drug target identification using side-effect similarityQ29615103
The universal protein resource (UniProt)Q29617074
Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated frameworkQ33597328
Semi-supervised drug-protein interaction prediction from heterogeneous biological spacesQ33692324
The HUGO Gene Nomenclature Committee (HGNC).Q34111138
Prediction of drugs having opposite effects on disease genes in a directed network.Q35906133
Prediction of drug-target interaction networks from the integration of chemical and genomic spaces.Q37283297
Supervised prediction of drug-target interactions using bipartite local modelsQ37327753
Using networks to measure similarity between genes: association index selectionQ37649244
Similarity-based machine learning methods for predicting drug-target interactions: a brief reviewQ38128158
Drug-Target NetworksQ39554596
Protein-ligand interaction prediction: an improved chemogenomics approach.Q42948052
Drug target predictions based on heterogeneous graph inferenceQ43122201
Gaussian interaction profile kernels for predicting drug-target interactionQ45961548
Drug–target interaction prediction by random walk on the heterogeneous networkQ47845354
A probabilistic model for mining implicit 'chemical compound-gene' relations from literatureQ48472191
Combining Drug and Gene Similarity Measures for Drug-Target ElucidationQ51604037
Structure-based maximal affinity model predicts small-molecule druggability.Q51925540
P433issue15
P407language of work or nameEnglishQ1860
P921main subjectdeep learningQ197536
data miningQ172491
P1104number of pages8
P304page(s)2337-2344
P577publication date2017-04-18
P1433published inBioinformaticsQ4914910
P1476titleDeep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations
P478volume33

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cites work (P2860)
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