Asian Journal of Pharmaceutical Research
  • Year: 2022
  • Volume: 12
  • Issue: 4

In-silico Study of Phytoconstituents from Tribulus terrestris as potential Anti-psoriatic agent

1Department of Pharmaceutics, Bharati Vidyapeeth College of Pharmacy, Kolhapur416013, Maharashtra, India.

2Department of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur416013, Maharashtra, India.

*Corresponding Author E-mail: rvgaikwad92@gmail.com

Online Published on 28 February, 2023.

Abstract

Psoriasis (Ps) is a well-known chronic non-infectious, inflammatory skin disease affecting about 2–3% of the worldwide Population. Pathogenesis includes the environmental trigger factors with other factors like genetic factors, trauma, chemicals, bacterial infection etc. Currently there is no drug which can permanently cure the skin lesions as well as completely eradicate this dermatosis. The purpose of this research is to investigate the anti-psoriatic activity of phytoconstituents of Tribulus terrestris by predicting the ligand-receptor binding and by predicting the ADMET parameters using Lipinski's rule.

The process of research work starts with protein and ligand structure preparation. Further docking was done using PyRxAutodock Vina. Afterward, analysis and visualisation of the interaction between protein-ligands was done, and ADMET profiling was carried out according to lipinski's rules using Swiss ADME.

We selected four phytoconstituents of Tribulus terrestris. Molecular docking simulation showed all four compounds had better binding affinities. Based on the results of prediction of ADMET values using the Lipinski rule, compound that are thought to have good activity.

Based on results these molecules have discovered that they may be able to produce anti-psoriatic activity and found that they have a lower toxicity, and ADME analysis determined the easily absorbability to the tissue site. Hence, these compounds can be analysed by further in vitro studies and can be a leader in the designing of the potential drug for the psoriasis management.

Keywords

ADME prediction, Binding affinity, Drug-likeness, In-silico analysis, Molecular docking, Tribulusterrestris