ADMET prediction of the dominant compound from mangosteen (Garnicia mangostana L.) using pkCSM: A computational approach

Muslikh, Faisal Akhmal, Kurniawati, Evi, Ma'arif, Burhan ORCID: https://orcid.org/0000-0001-9182-343X, Zenmas, Syendriva Zeptyan, Salmasfattah, Novyananda, Dhafin, Anis Akhwan and Prasetyawan, Fendy (2023) ADMET prediction of the dominant compound from mangosteen (Garnicia mangostana L.) using pkCSM: A computational approach. International Journal of Contemporary Sciences (IJCS), 1 (1). pp. 33-38. ISSN 3047-4078

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Abstract

Mangosteen (Garcinia mangostana L.) is a plant belonging to the Guttiferae family with origins in Southeast Asia. The primary components in mangosteen peel consist of xanthones, particularly α-mangostin, which displays diverse pharmacological effects such as anti-diabetic properties, antioxidant activity, and anti-inflammatory effects. However, due to the insufficient information regarding studies on pharmacokinetics (administration, distribution, metabolism, excretion, and toxicity), the objective of this investigation is to explore pharmacokinetic predictions utilizing the pkCSM web tool.

Item Type:	Journal Article
Keywords:	α-mangostin; ADMET Prediction; Garcinia mangostana L.; pkCSM
Subjects:	11 MEDICAL AND HEALTH SCIENCES > 1115 Pharmacology and Pharmaceutical Sciences > 111504 Pharmaceutical Sciences 11 MEDICAL AND HEALTH SCIENCES > 1115 Pharmacology and Pharmaceutical Sciences
Divisions:	Faculty of Medical and Health Sciences > Department of Pharmacy
Depositing User:	Burhan Ma'arif
Date Deposited:	08 Sep 2025 14:54

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