Asian Journal of Pharmacy and Technology
  • Year: 2023
  • Volume: 13
  • Issue: 2

Identification of potential flavonoids against the spleen tyrosine kinase to treat psoriasis: In silico approach

  • Author:
  • Sagar Pol1,*, Vilasrao Kadam2, Sujata Jagtap3, Sampada Bhosale2, Nita Pawar1, Ravindra Gaikwad4
  • Total Page Count: 7
  • Page Number: 84 to 90

1Bharati Vidyapeeth’s Institute of Pharmacy, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India

2Bharati Vidyapeeth’s College of Pharmacy, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India

3Bharati Vidyapeeth’s Institute of Pharmacy, Erandwane, Pune, Maharashtra, 411038, India

4Department of Pharmaceutics, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416013 (MS), India

*Corresponding Author E-mail: sagar.pol007@gmail.com

Online Published on 4 October, 2023.

Abstract

Now a day, phytochemicals are widely consideration for structure optimization programs which focuses on making more active and less toxic drug products. Psoriasis is an inflammatory, chronic, remitting and relapsing, genetically influenced skin disease. Variety of flavonoid structureswere used to find the potential molecules against the psoriasis. In this current study molecular docking studies were carried out to identify the flavonoids having good binding ability with the target protein of psoriasis. Docked ligands were subjected to identify the drug like properties using drug-likeness prediction. Findings suggested that 23 flavonoid structures may act against the psoriasis.

Keywords

Drug design, De novo design, Ligand system, Artificial intelligence, Machine learning