ISSN : 2663-2187

COMPUTATIONAL ANALYSIS OF BIOMOLECULES OF MURRAYA KOENIGII AS A POTENT ANTICANCER AGENT

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Moholkar Aparark V.,Premalatha S.J., Vijay D. Bagh, Sudhahar Dharmalingam, Sandeep V. Binorkar, Vidya S. Tale, Manjula A.C.*
ยป doi: 10.33472/AFJBS.6.5.2024.684-695

Abstract

We have used a computational approach in this study to predict and identify the potentially harmful protein in curry leaves. The ligand was chosen from the PubChem database, while the target was chosen from the PDB. We have added the polar hydrogen group and eliminated the water molecules in order to prepare the target. It was also possible to find the twisting root where docking can be done to get the ligand ready. There were PDBQT files for both the target and the ligand. For the purpose of molecular docking against the three anticancer medications that we acquired from PubMed, we have taken into consideration three breast malignant proteins: HER2 (PDB ID-1N8Z), oestradiol (PDB ID-3HB5), and NUDT-5 (PDB ID-5NQR). A well-known sex hormone that causes breast cancer in women is oestradiol. Breast cancer cells proliferate and differentiate when the HER2 protein is activated improperly.

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