ArticleBMC genomics2016
Cogena, a novel tool for co-expressed gene-set enrichment analysis, applied to drug repositioning and drug mode of action discovery.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 71 citations in OpenAlex.
- Reconciling multiple connectivity-based systems biology methods for drug repurposing.Briefings in bioinformatics · 2025Review
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- FAP promotes clear cell renal cell carcinoma progression via activating the PI3K/AKT/mTOR signaling pathway.Cancer cell international · 2023Article
- Drug mechanism enrichment analysis improves prioritization of therapeutics for repurposing.BMC bioinformatics · 2023Article
- A drug repurposing method based on inhibition effect on gene regulatory network.Computational and structural biotechnology journal · 2023Article
- Folic acid: a potential inhibitor against SARS-CoV-2 nucleocapsid protein.Pharmaceutical biology · 2022Article
- Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.BMC cancer · 2022Article
- Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19.Computers in biology and medicine · 2022Article
- Identifying candidate genes and drug targets for Alzheimer's disease by an integrative network approach using genetic and brain region-specific proteomic data.Human molecular genetics · 2022Article
- Bioactive Microbial Metabolites in Cancer Therapeutics: Mining, Repurposing, and Their Molecular Targets.Current microbiology · 2022Review
- Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment.BMC genomics · 2022Article
- Overexpression of PKMYT1 associated with poor prognosis and immune infiltration may serve as a target in triple-negative breast cancer.Frontiers in oncology · 2022Article
- Strategies to identify candidate repurposable drugs: COVID-19 treatment as a case example.Translational psychiatry · 2021Review
- Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review.International journal of molecular sciences · 2021Review
- Scoring functions for drug-effect similarity.Briefings in bioinformatics · 2021Review
- Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2.BMC medical informatics and decision making · 2021Article
- Comparative transcriptome analysis of SARS-CoV, MERS-CoV, and SARS-CoV-2 to identify potential pathways for drug repurposing.Computers in biology and medicine · 2021Article
- Major Vault Protein (MVP) Associated WithFrontiers in cell and developmental biology · 2021Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundDrug repositioning, finding new indications for existing drugs, has gained much recent attention as a potentially efficient and economical strategy for accelerating new therapies into the clinic. Although improvement in the sensitivity of computational drug repositioning methods has identified numerous credible repositioning opportunities, few have been progressed. Arguably the "black box" nature of drug action in a new indication is one of the main blocks to progression, highlighting the need for methods that inform on the broader target mechanism in the disease context.
resultsWe demonstrate that the analysis of co-expressed genes may be a critical first step towards illumination of both disease pathology and mode of drug action. We achieve this using a novel framework, co-expressed gene-set enrichment analysis (cogena) for co-expression analysis of gene expression signatures and gene set enrichment analysis of co-expressed genes. The cogena framework enables simultaneous, pathway driven, disease and drug repositioning analysis. Cogena can be used to illuminate coordinated changes within disease transcriptomes and identify drugs acting mechanistically within this framework. We illustrate this using a psoriatic skin transcriptome, as an exemplar, and recover two widely used Psoriasis drugs (Methotrexate and Ciclosporin) with distinct modes of action. Cogena out-performs the results of Connectivity Map and NFFinder webservers in similar disease transcriptome analyses. Furthermore, we investigated the literature support for the other top-ranked compounds to treat psoriasis and showed how the outputs of cogena analysis can contribute new insight to support the progression of drugs into the clinic. We have made cogena freely available within Bioconductor or https://github.com/zhilongjia/cogena .
conclusionsIn conclusion, by targeting co-expressed genes within disease transcriptomes, cogena offers novel biological insight, which can be effectively harnessed for drug discovery and repositioning, allowing the grouping and prioritisation of drug repositioning candidates on the basis of putative mode of action.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.