ReviewToxicology reports2018
The use of structural alerts to avoid the toxicity of pharmaceuticals.
Review in Toxicology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Randomized, Double-Blind, Active-Controlled, Parallel, Phase 3 Clinical Trial for Evaluating the Efficacy and Safety of Zastaprazan in Patients with Gastric Ulcers.Gut and liver · 2026Trial
- Carbutamide, an Obsolete Anti-Diabetic Drug, Has Potential as a Potent Anticolitic Agent via Azo-Conjugation with Mesalazine.Pharmaceutics · 2025Article
- Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.Chemical research in toxicology · 2025Review
- Pharmacological reduction of lipid hydroperoxides as a potential modulator of sarcopenia.The Journal of physiology · 2025Article
- Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models.Communications chemistry · 2025Article
- Plant-derived Bisphenol C is a drug candidate againstIn silico pharmacology · 2025Article
- Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery.Journal of xenobiotics · 2024Review
- Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study.International journal of molecular sciences · 2024Review
- Computational Docking as a Tool in Guiding the Drug Design of Rutaecarpine Derivatives as Potential SARS-CoV-2 Inhibitors.Molecules (Basel, Switzerland) · 2024Article
- Expanding Predictive Capacities in Toxicology: Insights from Hackathon-Enhanced Data and Model Aggregation.Molecules (Basel, Switzerland) · 2024Article
- Standardization of zebrafish drug testing parameters for muscle diseases.Disease models & mechanisms · 2024Article
- Synthesis and initialBioImpacts : BI · 2024Article
- Integrated data-driven cross-disciplinary framework to prevent chemical water pollution.One earth (Cambridge, Mass.) · 2023Article
- Novel 1,2,4-oxadiazole compounds as PPAR-α ligand agonists: a new strategy for the design of antitumour compounds.RSC medicinal chemistry · 2023Article
- Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.Journal of chemical information and modeling · 2023Article
- 2-(4-Fluorophenyl)-1ACS chemical neuroscience · 2023Article
- Antiparasitic Meroterpenoids Isolated fromPharmaceutics · 2023Article
- Article
- Review
- Modifications of the Triaminoaryl Metabophore of Flupirtine and Retigabine Aimed at Avoiding Quinone Diimine Formation.ACS omega · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to identify compounds with potential toxicity problems, particular attention is paid to structural alerts, which are high chemical reactivity molecular fragments or fragments that can be transformed via bioactivation by human enzymes into fragments with high chemical reactivity. The concept has been introduced in order to reduce the likelihood that future candidate substances as pharmaceuticals will have undesirable toxic effects. A significant proportion (∼78-86%) of drugs characterized by residual toxicity contain structural alerts; there is also evidence indicating the formation of active metabolites as a causal factor for the toxicity of 62-69% of these molecules. On the other hand, the pharmacological action of certain drugs depends on the formation of reactive metabolites. Detailed assessment of the potential for the formation of active metabolites is recommended to characterize a biologically active compound. Although many prescribed drugs frequently contain structural alerts and form reactive metabolites, the vast majority of these drugs are administered in low daily doses. Avoiding structural alerts has become almost a norm in new drug design. An in-depth review of the biochemical reactivity of these structural alerts for new drug candidates is critical from a safety point of view and is currently being monitored in the discovery of drugs. The chemical strategies applied to structural alerts in molecules to limit the toxicity are: •partial replacement or full replacement of the structural alert;•reduction of electronic density;•introduction of a structural element of metabolic interest (metabolic switching);•multiple approaches. Therefore, chemical intervention strategies to eliminate bioactivation are often interactive processes; their success depends largely on a close working relationship between drug chemists, pharmacologists and researchers in metabolic science.
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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.