ArticleToxicological sciences : an official journal of the Society of Toxicology2021
Can We Panelize Seizure?
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 25 citations in OpenAlex.
- Planarian behavioral screening is a useful invertebrate model for evaluating seizurogenic chemicals.Neurotoxicology · 2026Article
- Visual detection of seizures in mice using supervised machine learning.Cell reports methods · 2025Article
- Planarian behavioral screening is a useful invertebrate model for evaluating seizurogenic chemicals.bioRxiv : the preprint server for biology · 2025Article
- De-risking seizure liability: integrating adverse outcome pathways (AOPs), new approach methodologies (NAMs), and in silico approaches while highlighting knowledge gaps.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.ACS chemical neuroscience · 2025Article
- 2024 International Academy of Toxicologic Pathology (IATP) Satellite Symposium: New Approach Methodologies (NAMs) for Neurotoxicity Assessment and Regulatory Perspectives.Toxicologic pathology · 2025Article
- Article
- Predicting seizure liability of small molecules using an in vitro multi-electrode array based assay coupled with modeling of brain disposition.Current research in toxicology · 2025Article
- Visual detection of seizures in mice using supervised machine learning.bioRxiv : the preprint server for biology · 2024Article
- Developing a pragmatic consensus procedure supporting the ICH S1B(R1) weight of evidence carcinogenicity assessment.Frontiers in toxicology · 2024Article
- Gene Expression Profile as a Predictor of Seizure Liability.International journal of molecular sciences · 2023Article
- Assaying Spontaneous Network Activity and Cellular Viability Using Multi-Well Microelectrode Arrays.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.Scientific reports · 2022Article
- Analysis of signal components < 500 Hz in brain organoids coupled to microelectrode arrays: A reliable test-bed for preclinical seizure liability assessment of drugs and screening of antiepileptic drugs.Biochemistry and biophysics reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
Abstract
Seizure liability remains a significant cause of attrition in drug discovery and development, leading to loss of competitiveness, delays, and increased costs. Current detection methods rely on observations made in in vivo studies intended to support clinical trials, such as tremors or other abnormal movements. These signs could be missed or misinterpreted; thus, definitive confirmation of drug-induced seizure requires a follow-up electroencephalogram study. There has been progress in in vivo detection of seizure using automated video systems that record and analyze animal movements. Nonetheless, it would be preferable to have earlier prediction of seizurogenic risk that could be used to eliminate liabilities early in discovery while there are options for medicinal chemists making potential new drugs. Attrition due to cardiac adverse events has benefited from routine early screening; could we reduce attrition due to seizure using a similar approach? Specifically, microelectrode arrays could be used to detect potential seizurogenic signals in stem-cell-derived neurons. In addition, there is clear evidence implicating neuronal voltage-gated and ligand-gated ion channels, GPCRs and transporters in seizure. Interactions with surrounding glial cells during states of stress or inflammation can also modulate ion channel function in neurons, adding to the challenge of seizure prediction. It is timely to evaluate the opportunity to develop an in vitro assessment of seizure linked to a panel of ion channel assays that predict seizure, with the aim of influencing structure-activity relationship at the design stage and eliminating compounds predicted to be associated with pro-seizurogenic state.
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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.