Computational evaluation of pongamol interactions with potential molecular targets of Blastocystis hominis

Abstract Pongamol, a bioactive substance that occurs naturally, shows promise as a treatment that targets several molecular pathways associated with Blastocystis hominis infection. Its binding affinity, pharmacokinetic behaviour, and protein-chemical interactions were examined in this work using molecular docking, ADMET profiling, and STITCH network analysis. Docking analysis predicted favorable binding of pongamol to eight selected protein targets, with the lowest docking scores observed for squalene epoxidase (− 9.7 kcal/mol), dihydrofolate reductase (− 8.9 kcal/mol), adenosine deaminase (− 8.6 kcal/mol), and thioredoxin reductase 1 (− 8.2 kcal/mol). These findings indicate that pongamol may interact with proteins involved in processes related to sterol metabolism, nucleotide metabolism, and redox regulation. However, the docking results represent predicted binding interactions and do not establish enzymatic inhibition or biological efficacy. The ADMET analysis predicted high gastrointestinal absorption, blood–brain barrier permeability, and favorable drug-likeness, but also indicated inhibition of CYP1A2, CYP2C19, CYP2C9, and CYP3A4, as well as potential hepatotoxicity and reproductive toxicity concerns. These in silico results support further investigation of pongamol as a computationally prioritized multi-target candidate against Blastocystis hominis . However, experimental studies are required to determine whether pongamol truly inhibits these targets or exhibits antiparasitic activity.

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Journal
Scientific Reports
Published
2026-11-07
DOI
https://doi.org/10.1038/s41598-026-76399-8
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational evaluation of pongamol interactions with potential molecular targets of Blastocystis hominis

Vetriselvan Subramaniyan, Arutchelvan Rajamanikam, Emelia Osman, Vinoth Kumarasamy et al.
3 links
Scientific Reports
Computational Drug Discovery Methods
article

Computational evaluation of pongamol interactions with potential molecular targets of Blastocystis hominis

Vetriselvan Subramaniyan, Arutchelvan Rajamanikam, Emelia Osman, Vinoth Kumarasamy, Chetan Ashok
article en

Abstract

Abstract Pongamol, a bioactive substance that occurs naturally, shows promise as a treatment that targets several molecular pathways associated with Blastocystis hominis infection. Its binding affinity, pharmacokinetic behaviour, and protein-chemical interactions were examined in this work using molecular docking, ADMET profiling, and STITCH network analysis. Docking analysis predicted favorable binding of pongamol to eight selected protein targets, with the lowest docking scores observed for squalene epoxidase (− 9.7 kcal/mol), dihydrofolate reductase (− 8.9 kcal/mol), adenosine deaminase (− 8.6 kcal/mol), and thioredoxin reductase 1 (− 8.2 kcal/mol). These findings indicate that pongamol may interact with proteins involved in processes related to sterol metabolism, nucleotide metabolism, and redox regulation. However, the docking results represent predicted binding interactions and do not establish enzymatic inhibition or biological efficacy. The ADMET analysis predicted high gastrointestinal absorption, blood–brain barrier permeability, and favorable drug-likeness, but also indicated inhibition of CYP1A2, CYP2C19, CYP2C9, and CYP3A4, as well as potential hepatotoxicity and reproductive toxicity concerns. These in silico results support further investigation of pongamol as a computationally prioritized multi-target candidate against Blastocystis hominis . However, experimental studies are required to determine whether pongamol truly inhibits these targets or exhibits antiparasitic activity.

Scientific Reports
Sri Venkateswara University (IN), Sri Ramachandra Institute of Higher Education and Research (IN), University of Malaya (MY), Sunway University (MY), National University of Malaysia (MY)
Universiti Malaya, Universiti Kebangsaan Malaysia
Good health and well-being
Openalex Percentile: Top 20%
Computational Drug Discovery Methods
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