Adsorption of anionic dyes from textile wastewater utilizing raw corncob

SJ Salih, ASA Kareem, SS Anwer - Heliyon, 2022 - cell.com
Toxic dyes are irrefutable effluent components of textile wastewater, so they have become a
major economic and health concern. With the purpose of efficient removal of textile dyes …

Exploring biological efficacy of novel benzothiazole linked 2, 5-disubstituted-1, 3, 4-oxadiazole hybrids as efficient α-amylase inhibitors: Synthesis, characterization …

M Duhan, P Kumar, J Sindhu, R Singh, M Devi… - Computers in Biology …, 2021 - Elsevier
In an effort to explore a class of novel antidiabetic agents, we have made an effort to
synergize the α-amylase inhibitory potential of 1, 3-benzothiazole and 1, 3, 4-oxadiazole …

CORAL: Development of a hybrid descriptor based QSTR model to predict the toxicity of dioxins and dioxin-like compounds with correlation intensity index and …

P Kumar, A Kumar, D Singh - Environmental Toxicology and Pharmacology, 2022 - Elsevier
In the present study, ninety-five halogenated dioxins and related chemicals (dibenzo-p-
dioxins, dibenzofurans, biphenyls, and naphthalene) with endpoint pEC 50 were used to …

Monte Carlo based QSGFEAR: prediction of Gibb's free energy of activation at different temperatures using SMILES based descriptors

R Singh, P Kumar, M Devi, S Lal, A Kumar… - New Journal of …, 2022 - pubs.rsc.org
In the present manuscript, we have endeavored to construct quantitative structure Gibb's free
energy of activation relationship (QSGFEAR) models having general applicability and …

QSRR modelling for the investigation of gas chromatography retention indices of flavour and fragrance compounds on Carbowax 20​ M glass capillary column with …

A Kumar, P Kumar, D Singh - Chemometrics and Intelligent Laboratory …, 2022 - Elsevier
The goal of the present study was to use a quantitative structure-retention relationship
(QSRR) for the retention indices of 1179 flavour and fragrance organic compounds using the …

A hybrid descriptor based QSPR model to predict the thermal decomposition temperature of imidazolium ionic liquids using Monte Carlo approach

S Lotfi, S Ahmadi, P Kumar - Journal of Molecular Liquids, 2021 - Elsevier
The thermal hazard, has become one of the basic characteristics of different Ionic Liquids
(ILs). The thermal decomposition of ionic liquids (ILs) is also an important aspect to evaluate …

Correlation intensity index (CII) as a benchmark of predictive potential: Construction of quantitative structure activity relationship models for anti-influenza single …

P Kumar, A Kumar - Journal of Molecular Structure, 2021 - Elsevier
The influenza virus threat continues to be a major global health issue. Although
comprehensive studies concentrate on anti-influenza testing, however, the worldwide …

CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors

S Ahmadi, S Lotfi, S Afshari, P Kumar… - SAR and QSAR in …, 2021 - Taylor & Francis
Global QSAR modelling was performed to predict the pIC50 values of 233 diverse
heterocyclic compounds as BTK inhibitors with the Monte Carlo algorithm of CORAL …

Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation

A Kumar, P Kumar - SAR and QSAR in Environmental Research, 2021 - Taylor & Francis
Simplified molecular-input line-entry system (SMILES) notation and inbuilt Monte Carlo
algorithm of CORAL software were employed to construct generative and prediction QSPR …

A Monte Carlo method based QSPR model for prediction of reaction rate constants of hydrated electrons with organic contaminants

S Ahmadi, S Lotfi, P Kumar - SAR and QSAR in Environmental …, 2020 - Taylor & Francis
ABSTRACT The Monte Carlo algorithm was applied to formulate a robust quantitative
structure–property relationship (QSPR) model to compute the reactions rate constants of …