Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs).
about
Biomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory scienceInferring drug-disease associations based on known protein complexesApplication of the TGx-28.65 transcriptomic biomarker to classify genotoxic and non-genotoxic chemicals in human TK6 cells in the presence of rat liver S9Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation.Computational prediction of microRNA networks incorporating environmental toxicity and disease etiology.FXR antagonism of NSAIDs contributes to drug-induced liver injury identified by systems pharmacology approach.The extraction of drug-disease correlations based on module distance in incomplete human interactome.sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptidesNetwork-based identification of microRNAs as potential pharmacogenomic biomarkers for anticancer drugs.Proteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes.Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.In silico polypharmacology of natural products.Scoring multiple features to predict drug disease associations using information fusion and aggregation.SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug-target interactions and drug repositioning.Integrated gene co-expression network analysis in the growth phase of Mycobacterium tuberculosis reveals new potential drug targets.Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network.Discovery of ERBB3 inhibitors for non-small cell lung cancer (NSCLC) via virtual screening.Network-Based Methods for Prediction of Drug-Target Interactions
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P2860
Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs).
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh-hant
name
Prediction of human genes and ...... enomic-derived models (PTDMs).
@en
Prediction of human genes and ...... e toxicogenomic-derived models
@nl
type
label
Prediction of human genes and ...... enomic-derived models (PTDMs).
@en
Prediction of human genes and ...... e toxicogenomic-derived models
@nl
prefLabel
Prediction of human genes and ...... enomic-derived models (PTDMs).
@en
Prediction of human genes and ...... e toxicogenomic-derived models
@nl
P2093
P2860
P356
P1433
P1476
Prediction of human genes and ...... genomic-derived models (PTDMs)
@en
P2093
P2860
P304
P356
10.1039/C3MB25309K
P577
2013-03-01T00:00:00Z