JSMARTech : Journal of Smart Bioprospecting and Technology
Vol. 7 No. 1 (2026): Vol. 7 No. 1 (2026): JSMARTech Volume 7, No 1, 2026

In Silico Approach of Predicting The Interaction of Epigallocatechin-3 Gallate and Chlorogenic Acid on E47 and THOC5 in Macrophage Differentiation: In Silico Study of EGCG and CGA on Macrophage Differentiation

Rohman, Mohammad Saifur (Unknown)
Izzatur Rochmah, Evalina (Unknown)
Abdullah, Fuad (Unknown)
Alvianoes Guterez Hose, Victor (Unknown)



Article Info

Publish Date
30 Apr 2026

Abstract

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia and glucose intolerance. Vascular hyperglycemia triggers the release of inflammatory mediators, which can increase monocyte differentiation into macrophages. Compounds such as epigallocatechin-3 gallate (EGCG) from green tea and chlorogenic acid (CGA) from green coffee are known to have anti-inflammatory effects. This study aimed to analyze the effect of EGCG and CGA on macrophage differentiation markers by assessing their binding activity with THOC5 and E47 proteins. An in silico assessment was conducted using metformin, which is widely used as a first-line antidiabetic drug, as the control ligand. Pharmacokinetic and drug-likeliness predictions were carried out. Additionally, molecular docking and molecular dynamics analysis were performed on the active residues of the proteins to assess the binding affinity and complex stability. The results obtained demonstrate that the binding affinity energy of EGCG and CGA to THOC5 and E47 was more favorable than that of metformin, yet their bioavailability value was poor. Molecular dynamics simulation showed that EGCG had a more stable complex compared to CGA and metformin. In conclusion, EGCG and CGA could potentially be effective as anti-inflammatory agents in diabetes mellitus.

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Journal Info

Abbrev

jsmartech

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemistry Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience

Description

JSMARTech : Journal of Smart Bioprospecting and Technology (p-ISSN: 2686-0805, e-ISSN : 2714-7894) is an Open Access Scientific Journal published by Research Center of Smart Molecule and Natural Genetics Resources (SMONAGENES), Universitas Brawijaya, Malang, East Java, Indonesia, since 2019. It is a ...