Drug target prediction using adverse event report systems: a pharmacogenomic approach.
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A survey on the computational approaches to identify drug targets in the postgenomic eraStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewTowards structural systems pharmacology to study complex diseases and personalized medicineFactors Affecting the Timing of Signal Detection of Adverse Drug ReactionsA Pharmacovigilance Approach for Post-Marketing in Japan Using the Japanese Adverse Drug Event Report (JADER) Database and Association AnalysisDrug-target interaction prediction by integrating chemical, genomic, functional and pharmacological data.Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis.Similarity-based prediction for Anatomical Therapeutic Chemical classification of drugs by integrating multiple data sources.Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic propertiesAn Ensemble Approach for Drug Side Effect Prediction.Learning a peptide-protein binding affinity predictor with kernel ridge regression.Integrative relational machine-learning for understanding drug side-effect profiles.Inferring protein domains associated with drug side effects based on drug-target interaction networkIdentifying novel associations between small molecules and miRNAs based on integrated molecular networks.Large-scale Direct Targeting for Drug Repositioning and Discovery.A multiple kernel learning algorithm for drug-target interaction predictionA comparative study of SMILES-based compound similarity functions for drug-target interaction predictionPharmacogenomics in early-phase clinical developmentDrug combinatorics and side effect estimation on the signed human drug-target network.Side effect profile similarities shared between antidepressants and immune-modulators reveal potential novel targets for treating major depressive disordersAdvanced systems biology methods in drug discovery and translational biomedicineA novel multi-modal drug repurposing approach for identification of potent ACK1 inhibitorsComputational Drug Target Screening through Protein Interaction Profiles.The Weber effect and the United States Food and Drug Administration's Adverse Event Reporting System (FAERS): analysis of sixty-two drugs approved from 2006 to 2010.On protocols and measures for the validation of supervised methods for the inference of biological networksDrug-target interaction prediction via chemogenomic space: learning-based methods.Using quantitative systems pharmacology for novel drug discovery.The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.Benchmarking a Wide Range of Chemical Descriptors for Drug-Target Interaction Prediction Using a Chemogenomic Approach.Computational probing protein-protein interactions targeting small molecules.DINIES: drug-target interaction network inference engine based on supervised analysis.Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures.A hierarchical anatomical classification schema for prediction of phenotypic side effects.
P2860
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P2860
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@ast
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@en
type
label
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@ast
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@en
prefLabel
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@ast
Drug target prediction using adverse event report systems: a pharmacogenomic approach.
@en
P2093
P2860
P356
P1433
P1476
Drug target prediction using adverse event report systems: a pharmacogenomic approach
@en
P2093
Masaaki Kotera
Masataka Takarabe
Susumu Goto
Yoshihiro Yamanishi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS413
P407
P577
2012-09-01T00:00:00Z