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

dc.contributor.authorSultana, Sabiha
dc.date.accessioned2025-09-29T06:10:59Z
dc.date.available2025-09-29T06:10:59Z
dc.date.issued2024-04-21
dc.descriptionProject
dc.description.abstractStudying 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.
dc.identifier.citationB.PH
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14784
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14784
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMolecular Docking
dc.subjectAcanthus ilicifolius
dc.subjectPhytoconstituents
dc.subjectAntidepressant Activity
dc.title“Screening of phytoconstituents from Acanthus ilicifolious L. for antidepressant activity through in silico molecular docking and ADMET approach
dc.typeOther

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