QSPR plays a crucial role in drug design by predicting the biological activity and the physico-chemical properties of compounds based on their molecular structures. The indices based on topology are important in QSPR analysis that serve as numerical descriptors that capture structural features of molecules, enabling accurate property prediction without extensive experimental work. Renal failure and its complications are marked by progressive loss of kidney function and systemic effects, often leading to complex management challenges and increased morbidity and mortality. This research study concentrates on the structural characteristics of medications used for treating renal failure and its complications, including sotagliflozin, vadadustat, empagliflozin, canagliflozin, daprodustat, calcitriol, pravastatin, pitavastatin, paricalcitol, dapagliflozin, finerenone, cinacalcet, irbesartan, captopril, doxercalciferol, epoetin alfa, hydrochlorothiazide, tenapanor, and etelcalcetide. We have done QSPR analysis incorporating degree and modified reverse degree indices and performed a comparison to demonstrate our models’ efficacy.
Godlin et al. (Tue,) studied this question.
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