Integrative Study on the Binding Energy Calculation: Molecular Docking and Molecular Mechanics with Generalized Born Surface Area Targeting Acetylcholinesterase

Authors

  • Ignasius Widya Parahita Putranto Magister of Pharmacy Study Program, Faculty of Pharmacy, Sanata Dharma University, Campus 3 Paingan, Maguwoharjo, Depok, Sleman, Yogyakarta 55282 Indonesia
  • Bonifacius Ivan Wiranata Pharmaceutical Sciences Department, Faculty of Pharmacy, Widya Mandala Catholic University, Surabaya, Indonesia
  • Enade Perdana Istyastono Department of Pharmacy, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jl. Pluit Raya No. 2, Jakarta Utara, DKI Jakarta, 14440, Indonesia
  • Florentinus Dika Octa Riswanto Research Group of Computer-Aided Drug Design and Discovery of Bioactive Natural Products, Sanata Dharma University, Yogyakarta 55282, Indonesia

DOI:

https://doi.org/10.20527/jps.v13i1.24094

Keywords:

Acetylcholinesterase, Alzheimer, Chalcone, MM/GBSA, YASARA

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.

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Published

2026-03-31

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Section

Jurnal Pharmascience