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“Screening of phytoconstituents from Acanthus ilicifolious L. for antidepressant activity through in silico molecular docking and ADMET approach

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dc.contributor.author Sultana, Sabiha
dc.date.accessioned 2025-09-29T06:10:59Z
dc.date.available 2025-09-29T06:10:59Z
dc.date.issued 2024-04-21
dc.identifier.citation B.PH en_US
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14784
dc.description Project en_US
dc.description.abstract Studying and developing new medications takes a lot of time, money, and labor. It's also a risky process. It is necessary to follow a methodical approach to find powerful new medications. Because computational methods may integrate physical and molecular processes, they are becoming more and more common in the drug development process. This could lead to lower costs and higher success rates. The application of medicinal plants for the treatment of Depression is widespread, as herbal medications are generally considered to be devoid of hazardous side effects. Furthermore, the constraints of anti-depressant medications necessitate the search for novel pharmaceuticals to address the therapy of Depression. Consequently, there is ongoing research to find more efficient and safer herbal anti-depressant compounds, as well as to produce novel antidepressant medications that have better clinical characteristics. en_US
dc.description.sponsorship DIU en_US
dc.publisher Daffodil International University en_US
dc.subject Molecular Docking en_US
dc.subject Acanthus ilicifolius en_US
dc.subject Phytoconstituents en_US
dc.subject Antidepressant Activity en_US
dc.title “Screening of phytoconstituents from Acanthus ilicifolious L. for antidepressant activity through in silico molecular docking and ADMET approach en_US
dc.type Other en_US


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