High-throughput methods for combinatorial drug discovery.
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Synthetic biology for pharmaceutical drug discoverySystems biology approaches for advancing the discovery of effective drug combinationsCombination therapeutics in complex diseasesCANDO and the infinite drug discovery frontierEnsemble-based network aggregation improves the accuracy of gene network reconstructionAn integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse frameworkUse of big data in drug development for precision medicine.Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.Modules, networks and systems medicine for understanding disease and aiding diagnosis.Systems medicine: evolution of systems biology from bench to bedsideThe future of the development of medicines in idiopathic pulmonary fibrosis.An Effective Method to Identify Shared Pathways and Common Factors among Neurodegenerative DiseasesApplying the new genomics to alcohol dependence.Drug combinatorics and side effect estimation on the signed human drug-target network.Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer.A review of connectivity map and computational approaches in pharmacogenomics.Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactionsDetection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumorsCancer nanomedicine: from drug delivery to imaging.Design and development of antivirals and intervention strategies against human herpesviruses using high-throughput approach.Enhancing FTS (Salirasib) efficiency via combinatorial treatment.Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products.Identification of drug candidates and repurposing opportunities through compound-target interaction networks.Computational modelling of atherosclerosis.Clinical implications of omics and systems medicine: focus on predictive and individualized treatment.TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples.Combenefit: an interactive platform for the analysis and visualization of drug combinations.A New Drug Combinatory Effect Prediction Algorithm on the Cancer Cell Based on Gene Expression and Dose-Response CurveThe Monoterpene Carvacrol Generates Endoplasmic Reticulum Stress in the Pathogenic Fungus Candida albicans.Targeted nanotherapeutics in cancer.In silico-based screen synergistic drug combinations from herb medicines: a case using Cistanche tubulosa.Drug knowledge bases and their applications in biomedical informatics research.Correlating the potentiometric selectivity of cyclosporin-based electrodes with binding patterns obtained from electrospray ionization-mass spectrometry.Recent advances in combinatorial drug screening and synergy scoring
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P2860
High-throughput methods for combinatorial drug discovery.
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
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artikull shkencor
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artículo científico
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name
High-throughput methods for combinatorial drug discovery.
@en
type
label
High-throughput methods for combinatorial drug discovery.
@en
prefLabel
High-throughput methods for combinatorial drug discovery.
@en
P2860
P1476
High-throughput methods for combinatorial drug discovery.
@en
P2093
Santiago Vilar
Xiaochen Sun
P2860
P304
P356
10.1126/SCITRANSLMED.3006667
P407
P577
2013-10-01T00:00:00Z