ArticlePloS one2013
Integrated analysis of drug-induced gene expression profiles predicts novel hERG inhibitors.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- BiMPADR: A Deep Learning Framework for Predicting Adverse Drug Reactions in New Drugs.Molecules (Basel, Switzerland) · 2024Article
- Re-Identification of Patient Subgroups in Uveal Melanoma.Frontiers in oncology · 2021Article
- The Advantages of Connectivity Map Applied in Traditional Chinese Medicine.Frontiers in pharmacology · 2021Review
- A Comparative Study of Cluster Detection Algorithms in Protein-Protein Interaction for Drug Target Discovery and Drug Repurposing.Frontiers in pharmacology · 2019Article
- Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.Molecular omics · 2018Review
- Recent developments in using mechanistic cardiac modelling for drug safety evaluation.Drug discovery today · 2016Review
- Article
- Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.BMC medical genomics · 2015Article
- Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis.Nature communications · 2015Article
- Systems Medicine: The Application of Systems Biology Approaches for Modern Medical Research and Drug Development.Molecular biology international · 2015Review
- Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.Bioinformatics (Oxford, England) · 2014Article
- Targeting potassium channels in cancer.The Journal of cell biology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Growing evidence suggests that drugs interact with diverse molecular targets mediating both therapeutic and toxic effects. Prediction of these complex interactions from chemical structures alone remains challenging, as compounds with different structures may possess similar toxicity profiles. In contrast, predictions based on systems-level measurements of drug effect may reveal pharmacologic similarities not evident from structure or known therapeutic indications. Here we utilized drug-induced transcriptional responses in the Connectivity Map (CMap) to discover such similarities among diverse antagonists of the human ether-à-go-go related (hERG) potassium channel, a common target of promiscuous inhibition by small molecules. Analysis of transcriptional profiles generated in three independent cell lines revealed clusters enriched for hERG inhibitors annotated using a database of experimental measurements (hERGcentral) and clinical indications. As a validation, we experimentally identified novel hERG inhibitors among the unannotated drugs in these enriched clusters, suggesting transcriptional responses may serve as predictive surrogates of cardiotoxicity complementing existing functional assays.
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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.