Network-based technologies for early drug discovery

C Fotis, A Antoranz, D Hatziavramidis… - Drug discovery today, 2018 - Elsevier
Highlights•The reductionist drug discovery approach entails high attrition rates.•Topology-
based pathway analysis can unravel the disease mechanism (s).•Candidate targets can be …

Functional and genomic context in pathway analysis of GWAS data

MA Mooney, JT Nigg, SK McWeeney, B Wilmot - Trends in Genetics, 2014 - cell.com
Gene set analysis (GSA) is a promising tool for uncovering the polygenic effects associated
with complex diseases. However, the available techniques reflect a wide variety of …

[HTML][HTML] Zika virus targets glioblastoma stem cells through a SOX2-integrin αvβ5 axis

Z Zhu, P Mesci, JA Bernatchez, RC Gimple, X Wang… - Cell stem cell, 2020 - cell.com
Zika virus (ZIKV) causes microcephaly by killing neural precursor cells (NPCs) and other
brain cells. ZIKV also displays therapeutic oncolytic activity against glioblastoma (GBM) stem …

Traumatic brain injury results in unique microglial and astrocyte transcriptomes enriched for type I interferon response

BP Todd, MS Chimenti, Z Luo, PJ Ferguson… - Journal of …, 2021 - Springer
Background Traumatic brain injury (TBI) is a leading cause of death and disability that lacks
neuroprotective therapies. Following a TBI, secondary injury response pathways are …

Identifying significantly impacted pathways and putative mechanisms with iPathwayGuide

S Ahsan, S Drăghici - Current protocols in bioinformatics, 2017 - Wiley Online Library
Abstract iPathwayGuide is a gene expression analysis tool that provides biological context
and inferences from data generated by high‐throughput sequencing. iPathwayGuide utilizes …

Unsupervised extraction of stable expression signatures from public compendia with an ensemble of neural networks

J Tan, G Doing, KA Lewis, CE Price, KM Chen… - Cell systems, 2017 - cell.com
Cross-experiment comparisons in public data compendia are challenged by unmatched
conditions and technical noise. The ADAGE method, which performs unsupervised …

GeneWalk identifies relevant gene functions for a biological context using network representation learning

R Ietswaart, BM Gyori, JA Bachman, PK Sorger… - Genome biology, 2021 - Springer
A bottleneck in high-throughput functional genomics experiments is identifying the most
important genes and their relevant functions from a list of gene hits. Gene Ontology (GO) …

Bioconductor's EnrichmentBrowser: seamless navigation through combined results of set-& network-based enrichment analysis

L Geistlinger, G Csaba, R Zimmer - BMC bioinformatics, 2016 - Springer
Background Enrichment analysis of gene expression data is essential to find functional
groups of genes whose interplay can explain experimental observations. Numerous …

Upregulation of fatty acid synthesis genes in the livers of adolescent female rats caused by inhalation exposure to PCB52 (2, 2′, 5, 5′-Tetrachlorobiphenyl)

BK Helm-Kwasny, A Bullert, H Wang… - Environmental …, 2024 - Elsevier
Elevated airborne PCB levels in older schools are concerning due to their health impacts,
including cancer, metabolic dysfunction-associated steatotic liver disease (MASLD) …

Drug repositioning through network pharmacology

H Ye, J Wei, K Tang, R Feuers… - Current topics in …, 2016 - ingentaconnect.com
Low drug productivity has been a significant problem of the pharmaceutical industry for
several decades even though numerous novel technologies were introduced during this …