Utilizing neighborhood topological indices for QSPR analysis of clinically approved immunosuppressive drugs in heart transplant therapy.

Heart transplantation is a life-saving transplantation procedure for individuals with advanced heart failure who have gone through all other medicinal options. It is predicted that 5000 heart transplants will be performed annually worldwide. The immunosuppressive drugs are used after a heart transplant to prevent organ rejection. They may be administered both before and throughout the transplant process under specific circumstances. Quantitative Structure-Activity or Property Relationship using topological descriptors is essential in drug design since it allows one to anticipate the physicochemical characteristics of medications based on their molecular structure. This study investigates the neighborhood topological descriptors of immunosuppressive medications used to treat heart transplant patients. The highest predictive efficacy of the pharmaceuticals is demonstrated by the good association between the topological indicators and the physical characteristics of the transplant medications. Additionally, this data may be used by researchers to develop new and effective medications for recipients of heart transplants.