ArticleEnvironmental science & technology2020
Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction.
Article in Environmental science & technology, 2020. 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
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
15 citing papers in PubMed, 49 citations in OpenAlex.
- AHR/NRF2 Dual Agonist Prediction and Natural Compound Screening Based on Machine Learning: A New Strategy for the Treatment of Atopic Dermatitis.International journal of molecular sciences · 2026Article
- Mapping the Rise in Machine Learning in Environmental Chemical Research: A Bibliometric Analysis.Toxics · 2025Review
- Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.Environmental science & technology · 2025Article
- Toxic Alerts of Endocrine Disruption Revealed by Explainable Artificial Intelligence.Environment & health (Washington, D.C.) · 2025Article
- Development of a Predictive Model for N-Dealkylation of Amine Contaminants Based on Machine Learning Methods.Toxics · 2024Article
- Article
- Machine learning methods to predict cadmium (Cd) concentration in rice grain and support soil management at a regional scale.Fundamental research · 2024Article
- StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists.Scientific reports · 2023Article
- Learning from COVID-19: How drug hunters can prepare for the next pandemic.Drug discovery today · 2023Article
- Article
- Review ofFrontiers in endocrinology · 2022Review
- Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods.International journal of molecular sciences · 2021Article
- Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.Molecular pharmaceutics · 2021Article
- Comparing Machine Learning Models for Aromatase (P450 19A1).Environmental science & technology · 2020Article
- Comparison of Machine Learning Models for the Androgen Receptor.Environmental science & technology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
The U.S. Environmental Protection Agency (EPA) periodically releases
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.