Prediction of Activity Spectra for Substances (PASS) from Mangiferin Bioaktif Mangga (Mangifera indica L.)

Yuneka Saristiana; Fendy Prasetyawan; Mujtahid Bin Abd Kadir; M Wahyu Ariawan

doi:10.55927/mpst.v1i4.4

Authors

Yuneka Saristiana Universitas Kadiri
Fendy Prasetyawan Universitas Kadiri
Mujtahid Bin Abd Kadir Universitas Muhammadiyah Makasar
M Wahyu Ariawan Universitas Tulang Bawang

DOI:

https://doi.org/10.55927/mpst.v1i4.4

Keywords:

Mangiferin, PASS Online, Mangifera indica, Bioactivity Prediction, Natural Compound Drug Discovery

Abstract

Mangiferin, a major bioactive compound found in the mango plant (Mangifera indica L.), has attracted significant scientific interest due to its diverse pharmacological properties. This study aimed to predict the potential biological activities of mangiferin using the Prediction of Activity Spectra for Substances (PASS) online tool, based on its SMILES notation retrieved from the PubChem database. Through computational analysis, multiple probable pharmacological effects were identified, including TP53 expression enhancement, membrane integrity modulation, HIF1A expression inhibition, and anti-carcinogenic properties. The Pa (probability "to be active") values for these activities ranged from 0.79 to 0.95, suggesting a high likelihood of bioactivity. Notably, mangiferin also demonstrated potential as a cytostatic, hepatoprotective, and antidiabetic agent. These predictions support previously reported experimental findings and further highlight the therapeutic potential of mangiferin in oncology, hepatology, and metabolic disorders. This computational approach provides an efficient and informative method to explore the drug-likeness and pharmacological versatility of natural compounds, particularly in the early stages of drug discovery and development

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