Title:Molecular Docking and In Silico ADME(T) Evaluation of Selective Phytochemical Inhibitors of VEGF2 Target for the Treatment of Diabetic Retinopathy
Volume: 18
Issue: 3
Author(s): Veerachamy Alagarsamy*, Mohaideen Thasthagir Sulthana, Viswas Raja Solomon*, Aithamraju Satishchandra, Vishaka Sumant Kulkarni, Bandi Narendhar, Dhanwar Sangeetha and Sankaranarayanan Murugesan
Affiliation:
- Department of Pharmaceutical Chemistry, Medicinal Chemistry Research Laboratory, MNR College of Pharmacy,
Sangareddy, Telangana, India
- Department of Pharmaceutical Chemistry, Medicinal Chemistry Research Laboratory, MNR College of Pharmacy,
Sangareddy, Telangana, India
Keywords:
Diabetic retinopathy, nutraceuticals, in silico docking, VEGFR2 target, ADMET studies, structure-based drug design, molecular dynamic, lipinski rule.
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.
