SynthesisInternational journal of molecular sciences2021
Quantitative Structure-Activity Relationship (QSAR) Studies on the Toxic Effects of Nitroaromatic Compounds (NACs): A Systematic Review.
Synthesis in International journal of molecular sciences, 2021. 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
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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.
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Who cites it
15 citing papers in PubMed.
- Integrative use of murine and zebrafish models for acute toxicity observation of ethanolic extract of Ocimum sanctum Linn.Open veterinary journal · 2026Article
- Multimodal deep learning for chemical toxicity prediction and management.Scientific reports · 2025Article
- Extrapolation of PBBs Environmental Transformation Mechanisms and Toxicity Risks of Byproducts.International journal of molecular sciences · 2025Article
- Weak noncovalent interactions in 1,2,4-triazole-3-thione-linked adamantyl derivatives: experimental and computational insights into their potential as antiproliferative agents.Frontiers in chemistry · 2025Article
- Prediction of chemical-induced acute toxicity using in vitro assay data and chemical structure.Toxicology and applied pharmacology · 2024Article
- NiNanoscale advances · 2024Article
- Integrated predictive QSAR, Read Across, and q-RASAR analysis for diverse agrochemical phytotoxicity in oat and corn: A consensus-based approach for risk assessment and prioritization.Environmental science and pollution research international · 2024Article
- Application of Machine Learning Methods to Predict the Air Half-Lives of Persistent Organic Pollutants.Molecules (Basel, Switzerland) · 2023Article
- QSAR and Chemical Read-Across Analysis of 370 Potential MGMT Inactivators to Identify the Structural Features Influencing Inactivation Potency.Pharmaceutics · 2023Article
- A perspective on the sharing of docking data.Data in brief · 2023Article
- Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence.Frontiers in pharmacology · 2023Article
- Advances in computational frameworks in the fight against TB: The way forward.Frontiers in pharmacology · 2023Review
- Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.International journal of molecular sciences · 2022Article
- First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability.Molecular diversity · 2022Article
- Investigation of potential descriptors of chemical compounds on prevention of nephrotoxicity via QSAR approach.Computational and structural biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Nitroaromatic compounds (NACs) are ubiquitous in the environment due to their extensive industrial applications. The recalcitrance of NACs causes their arduous degradation, subsequently bringing about potential threats to human health and environmental safety. The problem of how to effectively predict the toxicity of NACs has drawn public concern over time. Quantitative structure-activity relationship (QSAR) is introduced as a cost-effective tool to quantitatively predict the toxicity of toxicants. Both OECD (Organization for Economic Co-operation and Development) and REACH (Registration, Evaluation and Authorization of Chemicals) legislation have promoted the use of QSAR as it can significantly reduce living animal testing. Although numerous QSAR studies have been conducted to evaluate the toxicity of NACs, systematic reviews related to the QSAR modeling of NACs toxicity are less reported. The purpose of this review is to provide a thorough summary of recent QSAR studies on the toxic effects of NACs according to the corresponding classes of toxic response endpoints.
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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.