ArticleFrontiers in immunology2022
Modeling and insights into the structural characteristics of drug-induced autoimmune diseases.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 14 citations in OpenAlex.
- Developmental neurotoxicity (DNT) QSAR combination prediction model establishment and structural characteristics interpretation.Toxicology research · 2024Article
- Predicting non-chemotherapy drug-induced agranulocytosis toxicity through ensemble machine learning approaches.Frontiers in pharmacology · 2024Article
- Modeling and Insights into the Structural Characteristics of Chemical Mitochondrial Toxicity.ACS omega · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in recent years, which may lead to serious or fatal consequences. Besides, many environmental and industrial chemicals can also cause DIAD. However, there are few effective approaches to estimate the DIAD potential of drugs and other chemicals currently, and the structural characteristics and mechanism of action of DIAD compounds have not been clarified. In this study, we developed the
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