[HTML][HTML] Network and pathway analysis of toxicogenomics data
G Barel, R Herwig - Frontiers in Genetics, 2018 - frontiersin.org
Toxicogenomics is the study of the molecular effects of chemical, biological and physical
agents in biological systems, with the aim of elucidating toxicological mechanisms, building …
agents in biological systems, with the aim of elucidating toxicological mechanisms, building …
Emerging bioinformatics methods and resources in drug toxicology
K Audouze, O Taboureau - In Silico Methods for Predicting Drug Toxicity, 2022 - Springer
Assessing the drug safety at an early stage of a drug discovery program is a critical issue.
With the recent advances in molecular biology and genomic, massive amounts of generated …
With the recent advances in molecular biology and genomic, massive amounts of generated …
Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data
B Alexander-Dann, LL Pruteanu, E Oerton… - Molecular omics, 2018 - pubs.rsc.org
The toxicogenomics field aims to understand and predict toxicity by using 'omics' data in
order to study systems-level responses to compound treatments. In recent years there has …
order to study systems-level responses to compound treatments. In recent years there has …
Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity
JJ Sutherland, YW Webster, JA Willy… - The …, 2018 - nature.com
Despite investment in toxicogenomics, nonclinical safety studies are still used to predict
clinical liabilities for new drug candidates. Network-based approaches for genomic analysis …
clinical liabilities for new drug candidates. Network-based approaches for genomic analysis …
Network-based analysis of transcriptional profiles from chemical perturbations experiments
Background Methods for inference and comparison of biological networks are emerging as
powerful tools for the identification of groups of tightly connected genes whose activity may …
powerful tools for the identification of groups of tightly connected genes whose activity may …
[HTML][HTML] Mining toxicogenomic data for dose-responsive pathways: implications in advancing next-generation risk assessment
AR Barutcu, MB Black, A Nong - Frontiers in Toxicology, 2023 - ncbi.nlm.nih.gov
Introduction: While targeted investigation of key toxicity pathways has been instrumental for
biomarker discovery, unbiased and holistic analysis of transcriptomic data provides a …
biomarker discovery, unbiased and holistic analysis of transcriptomic data provides a …
A system-based approach to interpret dose-and time-dependent microarray data: quantitative integration of gene ontology analysis for risk assessment
X Yu, WC Griffith, K Hanspers, JF Dillman III… - Toxicological …, 2006 - academic.oup.com
Although microarray technology has emerged as a powerful tool to explore expression
levels of thousands of genes or even complete genomes after exposure to toxicants, the …
levels of thousands of genes or even complete genomes after exposure to toxicants, the …
Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation
YF Huang, HY Yeh, VW Soo - BMC medical genomics, 2013 - Springer
Background During the last few years, the knowledge of drug, disease phenotype and
protein has been rapidly accumulated and more and more scientists have been drawn the …
protein has been rapidly accumulated and more and more scientists have been drawn the …
Practical application of toxicogenomics for profiling toxicant-induced biological perturbations
N Kiyosawa, S Manabe, T Yamoto… - International journal of …, 2010 - mdpi.com
A systems-level understanding of molecular perturbations is crucial for evaluating chemical-
induced toxicity risks appropriately, and for this purpose comprehensive gene expression …
induced toxicity risks appropriately, and for this purpose comprehensive gene expression …
Computational network analysis for drug toxicity prediction
C Hardt, C Bauer, J Schuchhardt, R Herwig - Computational cell biology …, 2018 - Springer
The computational prediction of compound effects from molecular data is an important task
in hazard and risk assessment and pivotal for judging the safety of any drug, chemical or …
in hazard and risk assessment and pivotal for judging the safety of any drug, chemical or …