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DC Field | Value | Language |
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dc.contributor.author | Zainul, Rahadian | - |
dc.contributor.author | Verawati, Rismi | - |
dc.contributor.author | Satriawan, Herland | - |
dc.date.accessioned | 2024-11-25T07:28:27Z | - |
dc.date.available | 2024-11-25T07:28:27Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/8375 | - |
dc.description.abstract | This study aims to analyze the potential of Thaflavine, a compound found in green tea (Camellia sinensis), as an inhibitor in inhibiting B-cell lymphoma through its interaction with the BCl2 apoptosis regulator using an in-silico approach. The research methodology involved the use of software tools such as PyMOL, PyRx, Protein Plus, and the Lepinski Rule. Through molecular docking analysis using PyMOL and PyRx, the findings of this study demonstrate significant interactions between Thaflavine and BCl2, with Binding Affinity values of -5.5, -4.6, and -4.6, and RMSD values of 0, 1.436, and 2.292. The analysis using Protein Plus indicates the presence of interactions between Thaflavine and BCl2. Additionally, the analysis using the Lepinski Rule of Five reveals that Thaflavine meets the criteria as a potential drug compound, with a molecular weight of 549, 9 hydrogen bond donors, 12 hydrogen bond acceptors, a log P value of -2.5, and a molar reactivity of 119.17. The findings of this study provide important contributions to the development of therapies for B-cell lymphoma through an in-silico approach. However, further research is needed for in vitro and in vivo validation. Key words: Molecular Docking, In-Silico Thaflavine, Apoptosis Regulator BCl2, B-cell Lymphoma, Camellia sinensis | en_US |
dc.subject | Molecular Docking, | en_US |
dc.subject | In-Silico Thaflavine, | en_US |
dc.subject | Apoptosis Regulator BCl2, | en_US |
dc.subject | B-cell Lymphoma, | en_US |
dc.subject | Camellia sinensis | en_US |
dc.title | Molecular Docking of Thaflavine from Camellia sinensis in Inhibiting B-Cell Lymphoma Through BCl2 Apoptosis Regulator: An In Silico Study | en_US |
dc.type | Article | en_US |
Appears in Collections: | VOL 15 NO 4 2023 |
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