ArticleBiomolecules2018
Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction.
Article in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed, 23 citations in OpenAlex.
- Prediction of the classification, labelling and packaging regulation H-statements with confidence using conformal prediction with N-grams and molecular fingerprints.Current research in toxicology · 2025Article
- Predicting Endocrine Disruption Using Conformal Prediction - A Prioritization Strategy to Identify Hazardous Chemicals with Confidence.Chemical research in toxicology · 2023Article
- Traditional Machine and Deep Learning for Predicting Toxicity Endpoints.Molecules (Basel, Switzerland) · 2022Article
- A local QSAR model based on the stability of nitrenium ions to support the ICH M7 expert review on the mutagenicity of primary aromatic amines.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2022Article
- Primary aromatic amines in indoor dust from 10 countries and associated human exposure.Environment international · 2021Article
- A deep neural network-based approach for prediction of mutagenicity of compounds.Environmental science and pollution research international · 2021Article
- Machine Learning Strategies When Transitioning between Biological Assays.Journal of chemical information and modeling · 2021Article
- CombiningChemical research in toxicology · 2021Article
- Machine Learning for Molecular Modelling in Drug Design.Biomolecules · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
The occurrence of mutagenicity in primary aromatic amines has been investigated using conformal prediction. The results of the investigation show that it is possible to develop mathematically proven
Indexed as
Identifiers
What OpenQuestion holds
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.