Exploiting drug-disease relationships for computational drug repositioning. - Wikidata - awgldk - TriplyDB

Exploiting drug-disease relationships for computational drug repositioning.

Exploiting drug-disease relationships for computational drug repositioning.

http://www.wikidata.org/entity/Q35109885

about

Genome-scale screening of drug-target associations relevant to Ki using a chemogenomics approach Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studies A crowdsourcing approach for reusing and meta-analyzing gene expression data Leveraging big data to transform target selection and drug discovery The epigenome, 4D nucleome and next-generation neuropsychiatric pharmacogenomics R&D implementation in a department of laboratory medicine and pathology: a systematic review based on pharmaceutical companies ZikaVR: An Integrated Zika Virus Resource for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis Molecularly and clinically related drugs and diseases are enriched in phenotypically similar drug-disease pairs Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations Therapeutic Manipulation of Ageing: Repurposing Old Dogs and Discovering New Tricks Getting personalized cancer genome analysis into the clinic: the challenges in bioinformatics Assessing drug target association using semantic linked data Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifier The landscape of host transcriptional response programs commonly perturbed by bacterial pathogens: towards host-oriented broad-spectrum drug targets SWEETLEAD: an in silico database of approved drugs, regulated chemicals, and herbal isolates for computer-aided drug discovery A network-based classification model for deriving novel drug-disease associations and assessing their molecular actions Mining Chemical Activity Status from High-Throughput Screening Assays A Drug-Centric View of Drug Development: How Drugs Spread from Disease to Disease Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing A survey of current trends in computational drug repositioning Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and construction of informative gene-based networks A miRNA-driven inference model to construct potential drug-disease associations for drug repositioning The functional therapeutic chemical classification system Pathway analysis for drug repositioning based on public database mining A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning Explore Small Molecule-induced Genome-wide Transcriptional Profiles for Novel Inflammatory Bowel Disease Drug Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state Computational drug repositioning for peripheral arterial disease: prediction of anti-inflammatory and pro-angiogenic therapeutics.Accidental interaction between PDZ domains and diclofenac revealed by NMR-assisted virtual screening.Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy.Exploiting large-scale drug-protein interaction information for computational drug repurposing.Computational drug repositioning: from data to therapeutics.In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index.Challenges in secondary analysis of high throughput screening data Drug-target interaction prediction by integrating chemical, genomic, functional and pharmacological data.Identification of novel therapeutics for complex diseases from genome-wide association data.Integrative methods for analyzing big data in precision medicine.Data integration to prioritize drugs using genomics and curated data.Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study.

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P2860

Exploiting drug-disease relationships for computational drug repositioning.

http://www.wikidata.org/entity/Q35109885

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2011 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2011年の論文

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Exploiting drug-disease relationships for computational drug repositioning.

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Exploiting drug-disease relationships for computational drug repositioning.

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Briefings in Bioinformatics

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Exploiting drug-disease relationships for computational drug repositioning.

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Joel T Dudley

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Tarangini Deshpande

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P2860

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Predicting new molecular targets for known drugs

Old drugs--new uses

Flexible ligand docking using conformational ensembles

Discovering modes of action for therapeutic compounds using a genome-wide screen of yeast heterozygotes

Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches

Estimating the cost of new drug development: is it really 802 million dollars?

Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets

Drug discovery using chemical systems biology: repositioning the safe medicine Comtan to treat multi-drug and extensively drug resistant tuberculosis

Drug off-target effects predicted using structural analysis in the context of a metabolic network model

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303-311

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10.1093/BIB/BBR013

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4

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12

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51235438

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21690101

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3137933

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