PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Machine learning-based QSAR and molecular modeling of phytocompounds in Barleria buxifolia L. as a potential aldose reductase inhibitor

RDRadul R DevALAnjana C. LaluSZSinana Zarin

Key Points

  • The study aims to predict the binding affinity of bioactive compounds from Barleria buxifolia as aldose reductase inhibitors for diabetes management.
  • Utilized redocking techniques for reliability in docking studies with aldose reductase.
  • Conducted virtual screening to evaluate binding affinities of compounds, notably 9CDOT.
  • Performed toxicity predictions to assess non-hepatotoxic, non-neurotoxic, and non-cytotoxic properties.
  • Identified 9CDOT as a promising inhibitor with a glide score of −9.95 kcal/mol.
  • Significant binding interactions with Trp111, Trp219, and Leu300 were observed.
  • AI-assisted PCA–PLS QSAR model showed a high predictive performance (R2 = 0.692) for 9CDOT.

Abstract

Introduction The traditional medicinal plant Barleria buxifolia L is well-known for its pharmacological properties. This study aims to predict the binding affinity of bioactive compounds obtained from B. buxifolia towards significant molecular targets associated with diabetes mellitus. The polyol pathway enzyme aldose reductase is associated with diabetes, making it a possible therapeutic target. Methods By redocking the co-crystallised ligand sulindac sulfone into the aldose reductase binding site, the researchers proved the docking approach’s reliability with a 0.117 Å root mean square deviation (RMSD). Virtual screening showed that 9-Carbomethoxy-6,11-dichloroxy-5-oxoxantho 3,2-g tetralin (9CDOT) as a promising inhibitor, surpassing sulindac sulfone, which had a glide score of −9.95 kcal/mol and binding energy of −55.10 kcal/mol. Results The chosen molecule exhibited significant binding affinity through π–π interactions with Trp111 and Trp219, a stabilising hydrogen bond with Leu300, and hydrophobic contacts with Val297, Ala299, and Leu300. Halogen bonding connections were found with one chlorine facing Trp219, suggesting π-halogen interaction, and the other towards Leu300 and Leu301, indicating halogen-hydrophobic stabilisation. Synergistic interactions increase ligand target site affinity and specificity. The compound was non-hepatotoxic, non-neurotoxic, and non-cytotoxic, according to the toxicity prediction. Our investigation shows that 9CDOT, a phytocompound from B. buxifolia , strongly inhibits human aldose reductase. Discussion The molecule is considered to be one of B. buxifolia’s active antidiabetic principles, making it a promising aldose reductase inhibitor lead candidate. Further verifying its potency, an AI-assisted PCA–PLS QSAR model also showed high predictive performance (R2 = 0.692), with 9CDOT showing a projected pIC 50 of 7.52 (IC 50 = 30 nM). To determine its therapeutic efficacy and investigate its potential as a lead candidate for the management of diabetes complications, more experimental validation is required.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Dev et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f0d531e4c4a9ff59267https://doi.org/10.3389/fbinf.2026.1766339
Ask AI
Helpful
Bookmark
Share
View Full Paper