Abstract
In recent years, there has been a global increase in the study of traditional medicinal plants due to their natural origins and their bioactive compounds, allowing them to complement current pharmaceutical approaches. Conversely, computer technology has advanced, and in silico investigation has proven to be a vital tool for systematically harnessing the structural variety of natural products. The present study presents comprehensive information about the traditional plant Phoenix dactylifera (commonly known as date palm) using in silico methods. The ExPASy ProtParam server, self-optimized prediction method with alignment (SOPMA), and SWISS model were employed to identify the protein′s primary, secondary, and tertiary structures. In addition, the sequence alignment was examined by Clustal Omega, and a phylogenetic tree was constructed using the bootstrap joining technique. This bioinformatics study of P. dactylifera resulted in a quicker, low-cost, and potentially effective search for plant-based medicines or mass manufacture of bioactive compounds.
Published Version
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