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Putranto, Ignasius Widya Parahita
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Integrative Study on the Binding Energy Calculation: Molecular Docking and Molecular Mechanics with Generalized Born Surface Area Targeting Acetylcholinesterase Putranto, Ignasius Widya Parahita; Wiranata, Bonifacius Ivan; Istyastono, Enade Perdana; Riswanto, Florentinus Dika Octa
Journal of Pharmascience Vol 13, No 1 (2026): Jurnal Pharmascience
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jps.v13i1.24094

Abstract

Alzheimer's disease (AD) imposes a significant global financial burden. Previous studies have reported that acetylcholinesterase (AChE) activity is strongly associated with AD, making it a key target in therapeutic research. Molecular docking and computational techniques are increasingly used to study these associations, yet a surge in publications has led to a departure from strictly designed paradigms. This study evaluates the accuracy of the Gibbs free energy of binding (ΔG) from molecular docking scores, Molecular Mechanics/Generalized Born Surface Area (MM/GBSA), and local Vina scores. The Spearman rank test was applied to compare ΔG predictions and the in vitro results from our previous study. The correlation coefficient for molecular docking was -0.491, the MM/GBSA correlation coefficient calculated at the best molecular docking pose was -0.309, the MM/GBSA correlation coefficient calculated at the last 5 nanoseconds (ns) snapshots was 0.164, and the correlation coefficient of the Vina local score calculated at the last 5 ns snapshots was 0.273. Our findings indicate that the ΔG prediction from the Vina local score for the last 5 ns shows the strongest correlation with in vitro results.