Cargando…
Quantitative Structure-Activity Relationship (QSAR) Studies on the Toxic Effects of Nitroaromatic Compounds (NACs): A Systematic Review
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 predi...
Autores principales: | Huang, Tao, Sun, Guohui, Zhao, Lijiao, Zhang, Na, Zhong, Rugang, Peng, Yongzhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395302/ https://www.ncbi.nlm.nih.gov/pubmed/34445263 http://dx.doi.org/10.3390/ijms22168557 |
Ejemplares similares
-
QSAR and Classification Study on Prediction of Acute Oral Toxicity of N-Nitroso Compounds
por: Fan, Tengjiao, et al.
Publicado: (2018) -
In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach
por: Daghighi, Amirreza, et al.
Publicado: (2022) -
Identification of the Structural Features of Guanine Derivatives as MGMT Inhibitors Using 3D-QSAR Modeling Combined with Molecular Docking
por: Sun, Guohui, et al.
Publicado: (2016) -
In Silico Prediction of O(6)-Methylguanine-DNA Methyltransferase Inhibitory Potency of Base Analogs with QSAR and Machine Learning Methods
por: Sun, Guohui, et al.
Publicado: (2018) -
Tumor Energy Metabolism and Potential of 3-Bromopyruvate as an Inhibitor of Aerobic Glycolysis: Implications in Tumor Treatment
por: Fan, Tengjiao, et al.
Publicado: (2019)