Quantitative structure-activity relationship (QSAR) studies on the toxic effects of nitroaromatic compounds (NACs): A systematic review

T Huang, G Sun, L Zhao, N Zhang, R Zhong… - International Journal of …, 2021 - mdpi.com
Nitroaromatic compounds (NACs) are ubiquitous in the environment due to their extensive
industrial applications. The recalcitrance of NACs causes their arduous degradation …

A comprehensive review on fused heterocyclic as DNA intercalators: Promising anticancer agents

V Sharma, M Gupta, P Kumar… - Current Pharmaceutical …, 2021 - ingentaconnect.com
Since the discovery of DNA intercalating agents (by Lerman, 1961), a growing number of
organic, inorganic, and metallic compounds have been developed to treat life-threatening …

Catalytic reduction of picric acid, nitrophenols and organic azo dyes via green synthesized plant supported Ag nanoparticles

M Ismail, MI Khan, SB Khan, K Akhtar, MA Khan… - Journal of Molecular …, 2018 - Elsevier
A facile and single-step green synthesis of silver nanoparticles dispersed on taro (Colocasia
esculenta) plant rhizome powder (TP) is reported here. In the current study, we describe for …

In silico prediction of the toxicity of nitroaromatic compounds: Application of ensemble learning qsar approach

A Daghighi, GM Casanola-Martin, T Timmerman… - Toxics, 2022 - mdpi.com
In this work, a dataset of more than 200 nitroaromatic compounds is used to develop
Quantitative Structure–Activity Relationship (QSAR) models for the estimation of in vivo …

In silico prediction of PAMPA effective permeability using a two-QSAR approach

CT Chi, MH Lee, CF Weng, MK Leong - International journal of molecular …, 2019 - mdpi.com
Oral administration is the preferred and predominant route of choice for medication. As such,
drug absorption is one of critical drug metabolism and pharmacokinetics (DM/PK) …

A deep neural network–based approach for prediction of mutagenicity of compounds

R Kumar, FU Khan, A Sharma, MH Siddiqui… - … Science and Pollution …, 2021 - Springer
We are exposed to various chemical compounds present in the environment, cosmetics, and
drugs almost every day. Mutagenicity is a valuable property that plays a significant role in …

In silico prediction of the mutagenicity of nitroaromatic compounds using correlation weights of fragments of local symmetry

AA Toropov, AP Toropova, A Roncaglioni… - … /Genetic Toxicology and …, 2023 - Elsevier
Most quantitative structure-property/activity relationships (QSPRs/QSARs) techniques
involve using different programs separately for generating molecular descriptors and …

A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons

HJ Moon, SJ Bu, SB Cho - Neurocomputing, 2023 - Elsevier
An aromatic hydrocarbon refers to an organic material having a carbon ring such as
benzene and a functional group in the carbon ring. As the industry develops, natural …

Theoretical prediction of the complex P-glycoprotein substrate efflux based on the novel hierarchical support vector regression scheme

C Chen, MH Lee, CF Weng, MK Leong - Molecules, 2018 - mdpi.com
P-glycoprotein (P-gp), a membrane-bound transporter, can eliminate xenobiotics by
transporting them out of the cells or blood–brain barrier (BBB) at the expense of ATP …

A novel procedure for selection of molecular descriptors: QSAR model for mutagenicity of nitroaromatic compounds

B Stankovic, F Marinkovic - Environmental Science and Pollution …, 2024 - Springer
Nitroaromatic compounds (NACs) stand out as pervasive organic pollutants, prompting an
imperative need to investigate their hazardous effects. Computational chemistry methods …