ADMETox-informatics of Plant Derived Octadecanoic Acid (Stearic Acid) from Ethyl Acetate Fraction of Moringa oleifera Leaf Extract as a Natural Lead for Next Generation Drug Design, Development and Therapeutics
In-silico Computer-Aided Drug Design (CADD) significantly relies on cybernetic screening of Plant Based Natural Products (PBNPs) as a prime source of bioactive compounds/ drug leads due to their unique chemical structural scaffolds and distinct functional characteristic features amenable to drug des...
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Veröffentlicht in: | Journal of drug delivery and therapeutics 2022-11, Vol.12 (6), p.129-141 |
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Hauptverfasser: | , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | In-silico Computer-Aided Drug Design (CADD) significantly relies on cybernetic screening of Plant Based Natural Products (PBNPs) as a prime source of bioactive compounds/ drug leads due to their unique chemical structural scaffolds and distinct functional characteristic features amenable to drug design and development. In the Post-COVID-Era a large number of publications have focused on PBNPs. Moreover, PBNPs still remain as an ideal source of novel therapeutic agents of GRAS standard. However, a well-structured, in-depth ADME/Tox profile with deeper dimensions of PBNPs has been lacking for many of natural pharma lead molecules that hamper successful exploitation of PBNPs. In the present study, ADMET-informatics of Octadecanoic Acid (Stearic Acid - SA) from ethyl acetate fraction of Moringa oleifera leaves has been envisaged to predict ADMET and pharmacokinetics (DMPK) outcomes. This work contributes to the deeper understanding of SA as major source of drug lead from Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for the development of SA as plant based natural product lead (PBNPL) for drug development programs.
Keywords: Moringa oleifera; Bioactive Substances; Octadecanoic Acid; Stearic Acid; ADME/Tox; Natural Product Based Drug Lead; PBNPs |
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ISSN: | 2250-1177 2250-1177 |
DOI: | 10.22270/jddt.v12i6.5677 |