Exploration of Natural Products for Targeting IDH1/2 Mutations in Acute Myeloid Leukemia Through Ligand-Based Pharmacophore Screening, Docking, ADME-T, and Molecular Dynamic Simulation Approaches
Year: 2025
Type: article
Abstract: Background: Mutations in isocitrate dehydrogenase 1 (IDH1) and 2 (IDH2) are prevalent drivers of acute myeloid leukemia (AML). While targeted therapies exist, resistance can emerge. This study explored the potential of natural products to identify novel dual IDH inhibitors. Methods: In silico screening of the COCONUT database was performed using Lipinski's Rule of Five. Pharmacophore modeling identified crucial features for IDH binding. Docking simulations with Glide (Schrödinger) assessed binding affinity, followed by MM-GBSA calculations for free energy estimation. The most promising candidate underwent ADME/T and toxicity analysis. Finally, molecular dynamics (MD) simulations evaluated the stability of protein-ligand complexes and binding interactions, followed by trajectory analysis using dynamical cross-correlation matrix (DCCM) and principal component analysis (PCA). Results: Ternstroside D (CNP0166496) emerged as a potential dual inhibitor of IDH1 and IDH2 mutations. Docking and MM-GBSA analyses showed strong affinities with IDH1 (-14.2, -84.45 kcal/mol) and IDH2 (-16.8, -60.73 kcal/mol), exceeding those of reference inhibitors GSK321A (-9.6 kcal/mol) and Enasidenib (-8.9 kcal/mol). Key hydrogen-bond interactions with catalytic residues and stable binding during MD simulations support its dual mechanism. ADME/T predictions indicated drug-like properties and a favorable safety profile, highlighting Ternstroside D as a natural scaffold with superior binding compared with existing IDH inhibitors. Conclusion: This in silico study provides compelling evidence for Ternstroside D (CNP0166496) as a promising dual inhibitor for IDH1 and IDH2 mutations in AML. Furthermore, in vitro and in vivo studies are warranted to validate these findings.
Authors: Uddalak Das, Dheemanth Reddy Regati, Jitendra Kumar, R Sowdhamini
Institutions: Jawaharlal Nehru University, University of Agricultural Sciences, Bangalore, Tata Institute of Fundamental Research, National Centre for Biological Sciences, Biotechnology Industry Research Assistance Council, Institute of Bioinformatics and Applied Biotechnology, Indian Institute of Science Bangalore
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,650
OpenAlex ID: W4417265309