Peter Juma Ochieng, Wisnu Ananta Kusuma, Mohamad Rafi, Tony Sumaryada


Objective: The aim of this research was to investigate action mechanism of Indonesia herbal decoctions in the treatment of Type 2 Diabetes (T2D) using network pharmacology approaches.

Methods: Drug target profile analysis via Markov clustering was performed to identify the potent antidiabetic ingredients in the four herbs. Network target base identification of multicomponent synergy was applied to predict the ingredients synergetic effect. The multi-level and integrated target networks were contracted to identify the herbs major ingredients and their presumed targets. Further enrichment analysis and molecular docking were performed to validate network targets.

Results: 278 ingredients from the four herbs were linked to antidiabetic drugs with an overall clustering success rate of 98.58% and 5 ingredient pairs had significant synergetic effects. Enrichment analysis demonstrates herbs candidate presumed targets were frequently involved in the significant biological process and pathways associated with progression of Type 2 diabetes (T2D) diseases. Finally, molecular docking validation revealed there was high binding site similarity between momordicoside F2 (78%), beta-sitosterol (67%) and cis-N-Feruloyltyramine (67%) with miglitol drug. In addition, the four ligands presented the higher binding affinity to Maltase-glucoamylase (MGA) receptor an enzyme responsible for the digestion of dietary starch to glucose.

Conclusion: This study revealed the pharmacological mechanism of action of Indonesia herbal decoctions in the treatment of Type 2 diabetes. The herbs major presumed target played a significant biological role in the progression of Type 2 diabetes (T2D) while major herbal ingredients indicates the potential of curing Type 2 diabetes by inhibiting Maltase-glucoamylase (MGA) activity.


Type 2 diabetes, Indonesia herbal decoction, Network pharmacology

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Type 2 diabetes, Indonesia herbal decoction, Network pharmacology





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International Journal of Pharmacy and Pharmaceutical Sciences
Vol 9, Issue 3, 2017 Page: 243-253

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Authors & Affiliations

Peter Juma Ochieng
Department of Computer Science, Bogor Agricultural University

Wisnu Ananta Kusuma
Department of Computer Science, Bogor Agricultural University

Mohamad Rafi
Tropical Biopharmaca Research Center, Bogor Agricultural University, (IPB), Jl. Taman Kencana No. 3, Bogor 16128, Indonesia

Tony Sumaryada
Computational Biophysics and Molecular Modeling Research Group (CBMoRG), Department of Physics, Bogor Agricultural University, Kampus IPB Dramaga, Bogor 16680 Indonesia

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