ReviewEndocrinology2019
In Silico Predictions of Endocrine Disruptors Properties.
Review in Endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 60 citations in OpenAlex.
- SynergisticiScience · 2026Article
- In silico analysis ofIn silico pharmacology · 2026Article
- In vitro confirmation of estrogenic and antiandrogenic pesticide bioactivity using schild regression analysis.Toxicology and applied pharmacology · 2025Article
- In Silico Exploration of the Endocrine-Disrupting Potential of Phthalate Esters through Structural Interaction with the Human Androgen Receptor.ACS omega · 2025Article
- Multimodal deep learning for chemical toxicity prediction and management.Scientific reports · 2025Article
- Review
- Effects of endocrine disruptors on the neurological system.Turkish journal of medical sciences · 2025Review
- QSAR: Using the Past to Study the Present.Methods in molecular biology (Clifton, N.J.) · 2025Review
- New Approach Methodologies for the Endocrine Activity Toolbox: Environmental Assessment for Fish and Amphibians.Environmental toxicology and chemistry · 2023Review
- Article
- Systems bioengineering approaches for developmental toxicology.Computational and structural biotechnology journal · 2023Review
- Endocrine Disrupting Chemicals' Effects in Children: What We Know and What We Need to Learn?International journal of molecular sciences · 2022Review
- Integrated Genomic and Bioinformatics Approaches to Identify Molecular Links between Endocrine Disruptors and Adverse Outcomes.International journal of environmental research and public health · 2022Review
- ER/AR Multi-Conformational Docking Server: A Tool for Discovering and Studying Estrogen and Androgen Receptor Modulators.Frontiers in pharmacology · 2022Article
- 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
- A Comparative Study of Human and Zebrafish Pregnane X Receptor Activities of Pesticides and Steroids UsingFrontiers in endocrinology · 2021Article
- Piperazine-substituted derivatives of favipiravir for Nipah virus inhibition: What do in silico studies unravel?SN applied sciences · 2021Article
- The GOLIATH Project: Towards an Internationally Harmonised Approach for Testing Metabolism Disrupting Compounds.International journal of molecular sciences · 2020Article
- The EDCMET Project: Metabolic Effects of Endocrine Disruptors.International journal of molecular sciences · 2020Review
- Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish.Frontiers in endocrinology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endocrine-disrupting chemicals (EDCs) are a broad class of molecules present in our environment that are suspected to cause adverse effects in the endocrine system by interfering with the synthesis, transport, degradation, or action of endogenous ligands. The characterization of the harmful interaction between environmental compounds and their potential cellular targets and the development of robust in vivo, in vitro, and in silico screening methods are important for assessment of the toxic potential of large numbers of chemicals. In this context, computer-aided technologies that will allow for activity prediction of endocrine disruptors and environmental risk assessments are being developed. These technologies must be able to cope with diverse data and connect chemistry at the atomic level with the biological activity at the cellular, organ, and organism levels. Quantitative structure-activity relationship methods became popular for toxicity issues. They correlate the chemical structure of compounds with biological activity through a number of molecular descriptors (e.g., molecular weight and parameters to account for hydrophobicity, topology, or electronic properties). Chemical structure analysis is a first step; however, modeling intermolecular interactions and cellular behavior will also be essential. The increasing number of three-dimensional crystal structures of EDCs' targets has provided a wealth of structural information that can be used to predict their interactions with EDCs using docking and scoring procedures. In the present review, we have described the various computer-assisted approaches that use ligands and targets properties to predict endocrine disruptor activities.
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.