Molecular Docking and In Silico ADME(T) Evaluation of Selective Phytochemical Inhibitors of VEGF2 Target for the Treatment of Diabetic Retinopathy

Background: Diabetic retinopathy (DR) is the leading cause of vision loss in diabetic patients. Currently, the treatment involves the use of glucocorticoids or a VEGF antagonist, which are "off-label" at present. However, the conventional method of drug discovery and development is a time-consuming process that requires more than a decade of meticulous research and huge financial support. While there are a few effective small organic molecules against DR that were identified many years ago, nutraceuticals - naturally available functional foods containing vitamins, antioxidants, minerals, fatty acids, and amino acids - can also help delay the progression of some diseases. Methods: In this study, 43 phytochemical constituents from four medicinal plants were tested for their binding affinity to the influential VEGFR2 target of diabetic retinopathy. The study used a computational approach, in silico molecular docking study, structure-based drug design approach, MSD (Molecular Dynamic Simulation analysis), in silico ADME(T) studies. Results: The study reported that all phytochemical constituents displayed good to the highest binding affinity than the standard ruboxistaurin. Six phytochemical constituents, namely terchebulin, pedunculagin, punicalagin, punicalin, casuariniane, and chebulagic acid, exhibited equipotent to higher activity than the standard. These constituents displayed conventional hydrogen bonds, pialkyl, and pi-cation interactions to achieve their high binding affinity. The highest binding scores were chosen for analysis using MSD, ensuring stability of the ligand-protein complex. Pharmacodynamic and pharmacokinetic properties were evaluated, and their safety profile was validated. Conclusion: This in silico screening study suggests that active phytomolecules present in medicinal plants may inhibit the VEGFR2 target. The best-docked compounds, possessing drug-like properties, can be used to develop potential inhibitors against DR or to mitigate its severity.

Authors

Institutions

Publication Details

Journal
Current Chemical Biology
Published
2024-10-24
DOI
https://doi.org/10.2174/0122127968307102241007054913
Citations
2
Primary Topic
Natural Antidiabetic Agents Studies
Type
article
Field-Weighted Citation Impact
0.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Docking and In Silico ADME(T) Evaluation of Selective Phytochemical Inhibitors of VEGF2 Target for the Treatment of Diabetic Retinopathy

Aithamraju Satishchandra, Mohaideen Thasthagir Sulthana, V. Alagarsamy, Vishaka Sumant Kulkarni et al.
2 citations
Current Chemical Biology
Natural Antidiabetic Agents Studies
0.72
article

Molecular Docking and In Silico ADME(T) Evaluation of Selective Phytochemical Inhibitors of VEGF2 Target for the Treatment of Diabetic Retinopathy

Aithamraju Satishchandra, Mohaideen Thasthagir Sulthana, V. Alagarsamy, Vishaka Sumant Kulkarni, Sangeetha Dhayalan, Sankaranarayanan Murugesan, Viswas Raja Solomon, Bandi Narendhar
article en
2 citations

Abstract

Background: Diabetic retinopathy (DR) is the leading cause of vision loss in diabetic patients. Currently, the treatment involves the use of glucocorticoids or a VEGF antagonist, which are "off-label" at present. However, the conventional method of drug discovery and development is a time-consuming process that requires more than a decade of meticulous research and huge financial support. While there are a few effective small organic molecules against DR that were identified many years ago, nutraceuticals - naturally available functional foods containing vitamins, antioxidants, minerals, fatty acids, and amino acids - can also help delay the progression of some diseases. Methods: In this study, 43 phytochemical constituents from four medicinal plants were tested for their binding affinity to the influential VEGFR2 target of diabetic retinopathy. The study used a computational approach, in silico molecular docking study, structure-based drug design approach, MSD (Molecular Dynamic Simulation analysis), in silico ADME(T) studies. Results: The study reported that all phytochemical constituents displayed good to the highest binding affinity than the standard ruboxistaurin. Six phytochemical constituents, namely terchebulin, pedunculagin, punicalagin, punicalin, casuariniane, and chebulagic acid, exhibited equipotent to higher activity than the standard. These constituents displayed conventional hydrogen bonds, pialkyl, and pi-cation interactions to achieve their high binding affinity. The highest binding scores were chosen for analysis using MSD, ensuring stability of the ligand-protein complex. Pharmacodynamic and pharmacokinetic properties were evaluated, and their safety profile was validated. Conclusion: This in silico screening study suggests that active phytomolecules present in medicinal plants may inhibit the VEGFR2 target. The best-docked compounds, possessing drug-like properties, can be used to develop potential inhibitors against DR or to mitigate its severity.

Current Chemical BiologyVol. 18(3)
MNR Medical College and Hospital (IN), Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 24%
Natural Antidiabetic Agents Studies
0.72
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.