In Silico Evaluation of Bioactive Phytoconstituents from Coccinia grandis Against Protein Targets Relevant to Acne Pathophysiology (1T65 and 2Z80)

This study investigates the potential of bioactive phytoconstituents from Coccinia grandis against protein targets associated with acne pathophysiology using a structure-based molecular docking approach. The selected phytoconstituents were evaluated against the acne-associated protein targets 1T65 and 2Z80 using PyRx integrated with AutoDock Vina. Molecular docking was performed to assess binding affinities and ligand–protein interactions. The predicted binding affinities of the investigated compounds ranged from −7.3 to −8.9 kcal/mol. Kaempferol demonstrated the most favorable predicted binding affinity toward 2Z80 (−8.9 kcal/mol), while β-sitosterol showed the most favorable predicted binding affinity toward 1T65 (−8.7 kcal/mol). Pharmacokinetic and drug-likeness properties of the selected compounds were also evaluated. The findings indicate that Coccinia grandis phytoconstituents may possess potential as lead compounds targeting proteins relevant to acne pathophysiology and provide a basis for further experimental validation.

Authors

Institutions

Publication Details

Journal
International Journal of Pharmaceutical Process Chemistry
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22671188
Primary Topic
Acne and Rosacea Treatments and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

In Silico Evaluation of Bioactive Phytoconstituents from Coccinia grandis Against Protein Targets Relevant to Acne Pathophysiology (1T65 and 2Z80)

S. Vinoth Kumar, Ramesh K, Nepolean R, Baskar N et al.
International Journal of Pharmaceutical Process Chemistry
Acne and Rosacea Treatments and Effects
article

In Silico Evaluation of Bioactive Phytoconstituents from Coccinia grandis Against Protein Targets Relevant to Acne Pathophysiology (1T65 and 2Z80)

S. Vinoth Kumar, Ramesh K, Nepolean R, Baskar N, Amaravathi D, Atchayabala T
article en

Abstract

This study investigates the potential of bioactive phytoconstituents from Coccinia grandis against protein targets associated with acne pathophysiology using a structure-based molecular docking approach. The selected phytoconstituents were evaluated against the acne-associated protein targets 1T65 and 2Z80 using PyRx integrated with AutoDock Vina. Molecular docking was performed to assess binding affinities and ligand–protein interactions. The predicted binding affinities of the investigated compounds ranged from −7.3 to −8.9 kcal/mol. Kaempferol demonstrated the most favorable predicted binding affinity toward 2Z80 (−8.9 kcal/mol), while β-sitosterol showed the most favorable predicted binding affinity toward 1T65 (−8.7 kcal/mol). Pharmacokinetic and drug-likeness properties of the selected compounds were also evaluated. The findings indicate that Coccinia grandis phytoconstituents may possess potential as lead compounds targeting proteins relevant to acne pathophysiology and provide a basis for further experimental validation.

International Journal of Pharmaceutical Process Chemistry
Hohai University (CN), Tamil Nadu Dr. M.G.R. Medical University (IN)
Openalex Percentile: Top 8%
Acne and Rosacea Treatments and Effects
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.

In Silico Evaluation of Bioactive Phytoconstituents from Coccinia grandis Against Protein Targets Relevant to Acne Pathophysiology (1T65 and 2Z80) — S. Vinoth Kumar, Ramesh K, et al. · International Journal of Pharmaceutical Process Chemistry (2026) | TGRS Research Map | TGRS