Structure-Based Free Energy Evaluation of Papaya Flavonoids as Dengue Virus NS5 RdRp Inhibitors via Molecular Simulations, Steered Molecular Dynamics and Umbrella Sampling

Dengue virus (DENV) NS5's RdRp domain is a conserved and functionally necessary enzyme, making it an interesting antiviral target. This study examined Carica papaya flavonoids' efficacy to inhibit DENV-RdRp's allosteric binding domain utilizing structure-based in silico methods. Eight flavonoids were evaluated for RdRp enzyme binding affinity using molecular dynamics simulations, principal component analysis, and free energy landscapes. The molecular simulation studies predicted the formation of stable protein–ligand complex structures in a biological system. Further protein-ligand structure dissociation and unbinding energetics were quantified using SMD simulations with umbrella sampling. By deriving free energy profiles, all eight RdRp-flavonoid complexes showed thermodynamic feasibility for protein-ligand binding with neohesperidin, manghaslin, and isoquercetin complexes having binding energies of –17.35, –16.52 and –16.04 kcal·mol 1 respectively. These results were aligned with the MD and post-MD MMGBSA binding free energy calculations. Thus, we successfully identified and analyzed papaya flavonoid-based natural scaffolds that target DENV-RdRp using advanced molecular simulation methods.

Authors

Institutions

Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2026-06-25
DOI
https://doi.org/10.1142/s2737416526500997
Primary Topic
Papaya Research and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structure-Based Free Energy Evaluation of Papaya Flavonoids as Dengue Virus NS5 RdRp Inhibitors via Molecular Simulations, Steered Molecular Dynamics and Umbrella Sampling

T. G. Abi, K. L. Joseph Libin, K.S. Sindhu, S. Ramakrishnan et al.
Journal of Computational Biophysics and Chemistry
Papaya Research and Applications
article

Structure-Based Free Energy Evaluation of Papaya Flavonoids as Dengue Virus NS5 RdRp Inhibitors via Molecular Simulations, Steered Molecular Dynamics and Umbrella Sampling

T. G. Abi, K. L. Joseph Libin, K.S. Sindhu, S. Ramakrishnan, Abraham Ignatious, J. Kavitha
article en

Abstract

Dengue virus (DENV) NS5's RdRp domain is a conserved and functionally necessary enzyme, making it an interesting antiviral target. This study examined Carica papaya flavonoids' efficacy to inhibit DENV-RdRp's allosteric binding domain utilizing structure-based in silico methods. Eight flavonoids were evaluated for RdRp enzyme binding affinity using molecular dynamics simulations, principal component analysis, and free energy landscapes. The molecular simulation studies predicted the formation of stable protein–ligand complex structures in a biological system. Further protein-ligand structure dissociation and unbinding energetics were quantified using SMD simulations with umbrella sampling. By deriving free energy profiles, all eight RdRp-flavonoid complexes showed thermodynamic feasibility for protein-ligand binding with neohesperidin, manghaslin, and isoquercetin complexes having binding energies of –17.35, –16.52 and –16.04 kcal·mol 1 respectively. These results were aligned with the MD and post-MD MMGBSA binding free energy calculations. Thus, we successfully identified and analyzed papaya flavonoid-based natural scaffolds that target DENV-RdRp using advanced molecular simulation methods.

Journal of Computational Biophysics and Chemistry
Twitter (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 4%
Papaya Research and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.