QSPR analysis of the drugs used to treat major depressive disorder using degree and neighborhood degree based indices
S. Radha
IntroductionThe high risk of suicide among major depressive disorder (MDD) patients, together with its substantial contribution to the global burden of disease, emphasizes the necessity of effective drug evaluation strategies. However, traditional clinical trials for MDD drugs are costly and time-consuming, emphasizing the importance of computational approaches such as QSPR modeling for predicting drug behavior and physicochemical properties.MethodsThis study employs degree- and neighborhood deg
