Evidence map›Paper›PMID 41394091›Full record

ArticleBioinformatics and biology insights2025

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.

Uddalak Das, Dheemanth Reddy Regati, Jitendra Kumar, R Sowdhamini

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Article in Bioinformatics and biology insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Uddalak DasUniversity of Agricultural Sciences, Bangalore (UAS-B), Bengaluru, India.ORCID https://orcid.org/0009-0004-0007-5691
Dheemanth Reddy RegatiNational Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research (TIFR), Bangalore, India.ORCID https://orcid.org/0009-0002-3393-5665
Jitendra KumarBiotechnology Industry Research Assistance Council (BIRAC), New Delhi, India.
R SowdhaminiNational Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research (TIFR), Bangalore, India.ORCID https://orcid.org/0000-0002-6642-2367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

acute myeloid leukemia (AML)dockingdrug discoveryIDH1IDH2molecular dynamicspharmacophoreternstroside D

Identifiers

PMID41394091
PMCPMC12701224

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.