Assessment of iridoids and their similar structures as antineoplastic drugs by
            <i>in silico</i>
            approach

Neupane, Prabhat; Adhikari Subin, Jhashanath; Adhikari, Rameshwar

doi:10.1080/07391102.2024.2314262

Journal of Biomolecular Structure and Dynamics

2024

DOI: 10.1080/07391102.2024.2314262

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Assessment of iridoids and their similar structures as antineoplastic drugs by in silico approach

Prabhat Neupane,

Jhashanath Adhikari Subin,

Rameshwar Adhikari

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2024

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Cited by 3 publications

References 65 publications

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Computational Assessment of the Phytochemicals of Panax ginseng C.A. Meyer Against Dopamine Receptor D1 for Early Huntington’s Disease Prophylactics

Subin,

Shrestha

2024

Cell Biochem Biophys

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Computational Assessment of the Phytochemicals of Panax ginseng C.A. Meyer Against Dopamine Receptor D1 for Early Huntington’s Disease Prophylactics

Subin,

Shrestha

2024

Cell Biochem Biophys

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Phytochemicals of Swertia chirayita Roxb. ex Fleming against malarial dihydroorotate dehydrogenase: an in silico study

Lal Swagat Shrestha,

Marasini,

Adhikari Subin

2024

Discov Mol

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A Computational Approach of Anti-diabetic Potential Evaluation of Flower and Seed of Nyctanthes arbor tristis Linn

Shrestha,

Parajuli,

Neupane

et al. 2024

Turkish Comp Theo Chem (TC&TC)

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Exploring the medicinal significance of bioactive compounds through computational methods is an increasingly practiced approach in contemporary medicinal research. This study aims to assess the antidiabetic potential of compounds extracted from the plant Nyctanthes arbor tristis by evaluating their ability to inhibit the carbohydrate metabolic enzyme α-glucosidase. The research work was conducted through molecular docking calculation, molecular dynamics simulation (MDS), and ADMET prediction techniques. Among the compounds, arbortistoside-C (NAS03), and arbortristoside-D (NAS04) found in the seed of the plant were identified as hit inhibitors of the target protein with docking scores, -9.9 and -9.4 kcal/mol, respectively. The compounds showed a comparable docking score with the drug of diabetes acarbose (-8.6 kcal/mol). Geometrical parameters like radius of gyration, solvent accessibility surface, root mean square deviation, and root mean square fluctuation from MDS supported the stability of the protein-ligand complex. MMPBSA calculations demonstrated the stability and feasibility of the complex with binding free energy changes of -29.06±6.06 and -23.58±8.80 kcal/mol for compounds NAS03 and NAS04, respectively. The ADMET prediction suggested the drug-likeness of the compounds compared with that of the standard drugs. The results could be used in proposing the antidiabetic potential of the two compounds from the plant as a potential inhibitors of α-glucosidase enzyme. Further, in vitro and in vivo experiments on such compounds could be a more reliable path to validate the output of this computational research.

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Assessment of iridoids and their similar structures as antineoplastic drugs by in silico approach

Cited by 3 publications

References 65 publications

Computational Assessment of the Phytochemicals of Panax ginseng C.A. Meyer Against Dopamine Receptor D1 for Early Huntington’s Disease Prophylactics

Computational Assessment of the Phytochemicals of Panax ginseng C.A. Meyer Against Dopamine Receptor D1 for Early Huntington’s Disease Prophylactics

Phytochemicals of Swertia chirayita Roxb. ex Fleming against malarial dihydroorotate dehydrogenase: an in silico study

A Computational Approach of Anti-diabetic Potential Evaluation of Flower and Seed of Nyctanthes arbor tristis Linn

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