Ashwani Kumar

发表

CORAL: Development of A hybrid descriptor based QSTR model to predict the toxicity of Dioxins and Dioxin-like Compounds with Correlation Intensity Index and Consensus Modelling.

Parvin Kumar, Ashwani Kumar, Devender Singh, 2022, Environmental toxicology and pharmacology.

Monoamine oxidase inhibitors: A concise review with special emphasis on structure activity relationship studies.

Bhawna, Parvin Kumar, M. Bhatia, 2022, European journal of medicinal chemistry.

A Comprehensive Review on Synthesis, Biological Profile and Photophysical Studies of Heterocyclic Compounds Derived from 2,3-diamino-1,4-naphthoquinone

Rahul Singh, Devender Singh, L. Narayan, 2022, Journal of Molecular Structure.

Tankyrase inhibitors: emerging and promising therapeutics for cancer treatment

S. Sushanth Kumar, Parvin Kumar, A. Chugh, 2020, Medicinal Chemistry Research.

Construction of pioneering quantitative structure activity relationship screening models for abuse potential of designer drugs using index of ideality of correlation in monte carlo optimization

Ashwani Kumar, Parvin Kumar, Parvin Kumar, 2020, Archives of Toxicology.

Phytoremediation and Nanoremediation

Rajeev Kumar, Parveen Kumar, Ashwani Kumar, 2021 .

In vitro and field efficacy of fungicides against sheath blight of rice and post-harvest fungicide residue in soil, husk, and brown rice using gas chromatography-tandem mass spectrometry

Arunandan Kumar, Pankaj Kumar, R. Chauhan, 2018, Environmental Monitoring and Assessment.

Urease Inhibition and Structure‐Activity Relationship Study of Thiazolidinone‐, Triazole‐, and Benzothiazole‐Based Heterocyclic Derivatives: A Focus Review

Rahul Singh, Devender Singh, J. Sindhu, 2023, ChemistrySelect.

Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing in vitro colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies

Rahul Singh, J. Sindhu, Parvin Kumar, 2023, Comput. Biol. Medicine.

QSRR modelling for the investigation of gas chromatography retention indices of flavour and fragrance compounds on Carbowax 20 M glass capillary column with the index of ideality of correlation and the consensus modelling

Parvin Kumar, Ashwani Kumar, Devender Singh, 2022, Chemometrics and Intelligent Laboratory Systems.

CORAL: Quantitative Structure Retention Relationship (QSRR) of flavors and fragrances compounds studied on the stationary phase methyl silicone OV-101 column in gas chromatography using correlation intensity index and consensus modelling

S. Ahmadi, S. Lotfi, Parvin Kumar, 2022, Journal of Molecular Structure.

Quasi-SMILES as a basis for the development of QSPR models to predict the CO2 capture capacity of deep eutectic solvents using correlation intensity index and consensus modelling

J. Sindhu, Parvin Kumar, S. Lal, 2023, Fuel.

Quinoxaline-derived “turn off” fluorescent sensor for the selective detection of Fe3+: Synthesis, spectroscopic analysis, BSA binding and computational studies

L. Narayan, J. Sindhu, S. Lal, 2023, Journal of Molecular Structure.

Thiazolidinedione-triazole conjugates: design, synthesis and probing of the α-amylase inhibitory potential.

Rahul Singh, H. Kumar, J. Sindhu, 2023, Future medicinal chemistry.

Fragments of local symmetry in a sequence of amino acids: Does one can use for QSPR/QSAR of peptides?

A. Toropova, A. Toropov, Parvin Kumar, 2023, Journal of Molecular Structure.

α-amylase inhibition and in silico studies of novel naphtho[2,3-d]imidazole-4,9-dione linked N-acyl hydrazones.

Rahul Singh, J. Sindhu, Parvin Kumar, 2023, Future medicinal chemistry.

In silico design of diacylglycerol acyltransferase-1 (DGAT1) inhibitors based on SMILES descriptors using Monte-Carlo method

A. Kumar, P. Kumar, J. Sindhu, 2019, SAR and QSAR in environmental research.

Development of prediction model for fructose- 1,6- bisphosphatase inhibitors using the Monte Carlo method

Manisha, A. Kumar, P. Kumar, 2019, SAR and QSAR in environmental research.

Development of reliable quantitative structure–toxicity relationship models for toxicity prediction of benzene derivatives using semiempirical descriptors

Sunil Kumar, Ayushi Singh, Parvin Kumar, 2022, Toxicology mechanisms and methods.

Lithium-doped SnO2 porous ceramics-based hydroelectric cells: a novel green energy source for sustainable power generation

Sumit Kumar, Parveen Kumar, V. Verma, 2021, Journal of Materials Science: Materials in Electronics.

Synthesis of thiazolidine-2,4-dione tethered 1,2,3-triazoles as α-amylase inhibitors: In vitro approach coupled with QSAR, molecular docking, molecular dynamics and ADMET studies.

J. Sindhu, Meena Devi, Ashwani Kumar, 2024, European journal of medicinal chemistry.