Drug discovery in the age of systems biology: the rise of computational approaches for data integration.
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewPrediction of chemical-protein interactions network with weighted network-based inference methodAn automated real-time integration and interoperability framework for bioinformaticsCART-a chemical annotation retrieval toolkitImage-based compound profiling reveals a dual inhibitor of tyrosine kinase and microtubule polymerizationTranscriptional data: a new gateway to drug repositioning?Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.Drug target inference through pathway analysis of genomics data.Systematic analysis of new drug indications by drug-gene-disease coherent subnetworks.Constructing and characterizing a bioactive small molecule and microRNA association network for Alzheimer's disease.A weighted and integrated drug-target interactome: drug repurposing for schizophrenia as a use case.Third-generation sequencing techniques and applications to drug discovery.Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.Mining integrated semantic networks for drug repositioning opportunitiesCharacterization of drug-induced transcriptional modules: towards drug repositioning and functional understanding.QSAR-Driven Discovery of Novel Chemical Scaffolds Active against Schistosoma mansoni.Similarity-based machine learning methods for predicting drug-target interactions: a brief review.Making a big thing of a small cell--recent advances in single cell analysis.Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.Drug-target interaction prediction via chemogenomic space: learning-based methods.Drug-target interaction prediction: databases, web servers and computational models.The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.Extensions to In Silico Bioactivity Predictions Using Pathway Annotations and Differential Pharmacology Analysis: Application to Xenopus laevis Phenotypic Readouts.Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition.Systematic integration of biomedical knowledge prioritizes drugs for repurposing.Multi-omic landscape of rheumatoid arthritis: re-evaluation of drug adverse effects.A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.Predicted Biological Activity of Purchasable Chemical Space.Potential Breast Anticancer Drug Targets Revealed by Differential Gene Regulatory Network Analysis and Molecular Docking: Neoadjuvant Docetaxel Drug as a Case Study.Integrative approach in the era of failing drug discovery and development.A Multisource Retrospective Audit Method for Data Quality Optimization and Evaluation
P2860
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P2860
Drug discovery in the age of systems biology: the rise of computational approaches for data integration.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Drug discovery in the age of s ...... proaches for data integration.
@ast
Drug discovery in the age of s ...... proaches for data integration.
@en
type
label
Drug discovery in the age of s ...... proaches for data integration.
@ast
Drug discovery in the age of s ...... proaches for data integration.
@en
prefLabel
Drug discovery in the age of s ...... proaches for data integration.
@ast
Drug discovery in the age of s ...... proaches for data integration.
@en
P50
P1476
Drug discovery in the age of s ...... pproaches for data integration
@en
P2093
Xing-Ming Zhao
P304
P356
10.1016/J.COPBIO.2011.11.010
P577
2011-12-05T00:00:00Z