Related Experiment Video
Updated: Jul 21, 2026

Systematic Approach to Identify Novel Antimicrobial and Antibiofilm Molecules from Plants' Extracts and Fractions to Prevent Dental Caries
Published on: March 31, 2021
Using Multiscale Molecular Modeling to Analyze Possible NS2b-NS3 Protease Inhibitors from Philippine Medicinal Plants
Allen Mathew Fortuno Cordero1, Arthur A Gonzales1
1Department of Chemical Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines.
Abstract:
Within the field of Philippine folkloric medicine, the utilization of indigenous plants like Euphorbia hirta (tawa-tawa), Carica papaya (papaya), and Psidium guajava (guava) as potential dengue remedies has gained attention. Yet, limited research exists on their comprehensive effects, particularly their anti-dengue activity. This study screened 2944 phytochemicals from various Philippine plants for anti-dengue activity. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiling provided 1265 compounds demonstrating pharmacokinetic profiles suitable for human use. Molecular docking targeting the dengue virus NS2b-NS3 protease's catalytic triad (Asp 75, Ser 135, and His 51) identified ten ligands with higher docking scores than reference compounds idelalisib and nintedanib. Molecular dynamics simulations confirmed the stability of eight of these ligand-protease complexes. Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) analysis highlighted six ligands, including veramiline (-80.682 kJ/mol), cyclobranol (-70.943 kJ/mol), chlorogenin (-63.279 kJ/mol), 25beta-Hydroxyverazine (-61.951 kJ/mol), etiolin (-59.923 kJ/mol), and ecliptalbine (-56.932 kJ/mol) with favorable binding energies, high oral bioavailability, and drug-like properties. This integration of traditional medical knowledge with advanced computational drug discovery methods paves new pathways for the development of treatments for dengue.
More Related Videos
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025