An integrative computational study of marine natural products as selective inhibitors of HPV16 and HPV18 E6/E7 oncoproteins: structural and energetic insights from PCA-based free energy landscape analysis

Human papillomavirus (HPV) is a well-established causative agent in cervical as well as in a few other anogenital and oropharyngeal cancers. Of the many genotypes, HPV16 and HPV18 are the most oncogenic, individually responsible for more than half of all cervical cancer cases worldwide. In the current study, a structure-based computational strategy was used to search for candidate small-molecule inhibitors for the E6 and E7 proteins of HPV16 and HPV18. A subset of ligands was subjected to molecular docking to assess their binding affinities at the oncoprotein active sites. Validation of structural stability of the docked complexes was carried out using molecular dynamics (MD) simulation and PCA based FEL analysis under physiological conditions. In addition, the ADMET and toxicity profiles of both compounds were also predicted with ProTox-III based on top parameters. This integrative overview allowed for the recognition of promising lead compounds possessing favorable binding properties, structural integrity, and low predicted toxicity.

Authors

Institutions

Publication Details

Journal
Journal of Biomolecular Structure and Dynamics
Published
2025-10-29
DOI
https://doi.org/10.1080/07391102.2025.2578228
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An integrative computational study of marine natural products as selective inhibitors of HPV16 and HPV18 E6/E7 oncoproteins: structural and energetic insights from PCA-based free energy landscape analysis

K. Govindaraju, Santhiya Panchalingam, Appala Krishna Chaitanya Gundu, Sri Venu Madhav Tippabhotla
Journal of Biomolecular Structure and Dynamics
Computational Drug Discovery Methods
article

An integrative computational study of marine natural products as selective inhibitors of HPV16 and HPV18 E6/E7 oncoproteins: structural and energetic insights from PCA-based free energy landscape analysis

K. Govindaraju, Santhiya Panchalingam, Appala Krishna Chaitanya Gundu, Sri Venu Madhav Tippabhotla
article en

Abstract

Human papillomavirus (HPV) is a well-established causative agent in cervical as well as in a few other anogenital and oropharyngeal cancers. Of the many genotypes, HPV16 and HPV18 are the most oncogenic, individually responsible for more than half of all cervical cancer cases worldwide. In the current study, a structure-based computational strategy was used to search for candidate small-molecule inhibitors for the E6 and E7 proteins of HPV16 and HPV18. A subset of ligands was subjected to molecular docking to assess their binding affinities at the oncoprotein active sites. Validation of structural stability of the docked complexes was carried out using molecular dynamics (MD) simulation and PCA based FEL analysis under physiological conditions. In addition, the ADMET and toxicity profiles of both compounds were also predicted with ProTox-III based on top parameters. This integrative overview allowed for the recognition of promising lead compounds possessing favorable binding properties, structural integrity, and low predicted toxicity.

Journal of Biomolecular Structure and Dynamics
Acharya Nagarjuna University (IN), Sathyabama Institute of Science and Technology (IN)
Openalex Percentile: Top 67%
Computational Drug Discovery Methods
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.