Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Purpose: Prostate
cancer afflicts thousands of men around the world. This condition is the most
common in men among all cancer diagnoses, and it ranks second in terms of
fatality after lung cancer. Six out of ten males in the 65-year-old age group
have been diagnosed with prostate cancer, making it a common malignancy among
this age group and accounting for about 80% of all reported instances of
prostate cancer.
Method:
Quantitative structure-activity relationship (QSAR) techniques was utilized to
construct five models on (24) prostate cancer PC3 cell line therapeutic agents.
Result:
Among the five models built, model one was the best because of its statistical
fitness of (R2) = 0.9882, (R2adj) = 0.9828,
(SEE) = 0.0488, (MEA) = 0.0258 and (CCC) = 0.9235 and based on docking results,
the top ranking compounds with high docking scores at the range of (-7.7 to
-8.2kcal/mol) respectively. Furthermore, none of the top ranking compounds was
found to violate any of the five filters in the study, therefore, displaying
good pharmacokinetics and drug- likeness properties.
Conclusion: Three top ranking compounds were identified using molecular
docking virtual screening and compound 12 was recognized to have the most
excellent docking score of (-8.2 kcal/mol). Also, the most common type of
interaction among the chosen ligands is hydrogen bond interaction,
electrostatic and hydrophobic interaction.
Country : Nigeria
IRJIET, Volume 8, Issue 8, August 2024 pp. 156-166