Polycyclic Aromatic Bioactive Compounds from
 Eclipta Alba
 and Its Anticancer Potential against Breast Cancer Target Proteins: An Antibreast Cancer Intervention through
 In Silico
 and
 In Vitro
 Validations

Mani, Suresh Thanjavur; Rathinavel, Thirumalaisamy; Ammashi, Subramanian; Nasir Iqbal, Muhammad

doi:10.1080/10406638.2023.2233661

Polycyclic Aromatic Compounds

2023

DOI: 10.1080/10406638.2023.2233661

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Polycyclic Aromatic Bioactive Compounds from Eclipta Alba and Its Anticancer Potential against Breast Cancer Target Proteins: An Antibreast Cancer Intervention through In Silico and In Vitro Validations

Suresh Thanjavur Mani,

Thirumalaisamy Rathinavel,

Subramanian Ammashi

et al.

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2024

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Cited by 4 publications

References 50 publications

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In vitro cancer cell line luminescence‐based validation of anticancer phytocompounds obtained from Leucas biflora against HELA cervical and A549 lung cancer cells

Chitra,

Sureshkumar,

Muraleedharan

et al. 2024

Luminescence

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Current research aims to screen the anticancer prospective of Leucas biflora phytocompounds against apoptotic regulator target protein essential for cancer progression. In gas chromatography–mass spectrometry analysis major phytocompounds such as tetracosahexaene, squalene, phytol, 22‐stigmasten‐3‐one, stigmasterol, fluorene, and 1,4‐dihydro were identified in ethanolic leaf extract of Leucas biflora. In vitro, the free radical scavenging potential of ethanolic leaf extract of Leucas biflora was examined through its DPPH and ABTS radical scavenging potential IC50 value 15.35 and 13.20 μg/ml, respectively. Dose‐dependent cytotoxicity was monitored against both A549 lung cancer and HELA cervical cancer cells. Leucas biflora ethanolic leaf extract highly reduces the cell viability of both HELA and A549 cells in in vitro cytotoxicity assays. Leucas biflora ethanolic extract produces 23.76% and 29.76% viability rates against A549 lung and HELA cervical cancer cell lines, and their IC50 values differ slightly at 95.80 and 90.40 μg/ml, respectively. In molecular docking analysis lung cancer target protein–ligand complex 5Y9T‐16132746 showed a maximum score of −14 kcal/mol by exhibiting stable binding affinity and interactions among all screened complexes. Based on docking score nine phytocompounds from Leucas biflora and two reference standard drugs were chosen for further analysis. Further validation reveals that the fluorene, 1,4‐dihydro possess good ADMET, Bioactivity and density functional theory indices.

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In vitro cancer cell line luminescence‐based validation of anticancer phytocompounds obtained from Leucas biflora against HELA cervical and A549 lung cancer cells

Chitra,

Sureshkumar,

Muraleedharan

et al. 2024

Luminescence

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show abstract

Green Synthesis and Characterization of Silver Nanoparticles from Eclipta alba and Its Activity Against Triple-Negative Breast Cancer Cell Line (MDA-MB-231)

Mani,

Jayakumar,

Pavithra

et al. 2023

Mol Biotechnol

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Immunomodulatory and anticytokine therapeutic potential of three Indian spices constituents and its hyaluronic acid conjugates for prevention and post COVID-19 complications: a computational modeling approach

Baby

2024

Journal of Biomolecular Structure and Dynamics

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Polycyclic Aromatic Bioactive Compounds from Eclipta Alba and Its Anticancer Potential against Breast Cancer Target Proteins: An Antibreast Cancer Intervention through In Silico and In Vitro Validations

Cited by 4 publications

References 50 publications

In vitro cancer cell line luminescence‐based validation of anticancer phytocompounds obtained from Leucas biflora against HELA cervical and A549 lung cancer cells

In vitro cancer cell line luminescence‐based validation of anticancer phytocompounds obtained from Leucas biflora against HELA cervical and A549 lung cancer cells

Green Synthesis and Characterization of Silver Nanoparticles from Eclipta alba and Its Activity Against Triple-Negative Breast Cancer Cell Line (MDA-MB-231)

Immunomodulatory and anticytokine therapeutic potential of three Indian spices constituents and its hyaluronic acid conjugates for prevention and post COVID-19 complications: a computational modeling approach

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