A Computational Study to Detect the Potential of Phytoconstituents for Drug Development Against Urinary Tract Infection

ABSTRACT: Urinary tract infection are global health problem. Antibiotic resistance is a major concern in the treatment of UTI. So, there is necessity for prevention and cure of UTI by alternative therapy. Medicinal plants extracts are used for many ailments. In our study we selected some phytoconstituents from plants which has shown anti uropathogenic activity invitro to detect their potentiality for drug development with computational tools SwissADME and DruMAP along with some existing drugs. We also included potential compound named sunitinib that shows antiviral and anticancer property as drug repurposing query. These methods calculates the many parameters to find out the capability for drug discovery. Out of ten phytoconstituent nine shows potentiality for drug development study in SwissADME prediction. DruMAP prediction also confirms the stability of these phytoconstituents indicating their potential for drug development. Our study will help the researchers in the drug discovery for UTI management.