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ADMET informatics of tetradecanoic acid (myristic acid) from ethyl acetate fraction of Moringa oleifera leaves
Journal of Drug Delivery and Therapeutics ; 12(4-s):101-111, 2022.
Article in English | CAB Abstracts | ID: covidwho-2056786
ABSTRACT
In-silico Computer-Aided Drug Design (CADD) often comprehends virtual screening (VS) of datasets of natural pharmaco-active compounds for drug discovery protocols. Plant Based Natural Products (PBNPs) still, remains to be a prime source of pharmaco-active compounds due to their unique chemical structural scaffolds and functionalities with distinct chemical characteristic feature from natural source that are much acquiescent to drug metabolism and kinetics. In the Post-COVID-Era number of publications pertaining to PBNPs and publicly accessible plant based natural product databases (PBNPDBs) has significantly increased. Moreover, PBNPs are important sources of inspiration or starting points to develop novel therapeutic agents. However, a well-structured, indepth ADME/Tox profile of PBNPs has been limited or lacking for many of such compounds, this hampers the successful exploitation of PBNPs by pharma industries. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles in the discovery/ development of drugs, pesticides, food additives, consumer products, and industrial chemicals. In the present study, ADMET-informatics of Tetradecanoic Acid (Myristic Acid) from ethyl acetate fraction of Moringa oleifera leaves to predict drug metabolism and pharmacokinetics (DMPK) outcomes has been taken up. This work contributes to the deeper understanding of Myristic acid as major source of drug from commonly available medicinal plant - Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for NP based lead generation programs.
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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Prognostic study Topics: Long Covid Language: English Journal: Journal of Drug Delivery and Therapeutics Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Prognostic study Topics: Long Covid Language: English Journal: Journal of Drug Delivery and Therapeutics Year: 2022 Document Type: Article