This antibody homology modeling prediction protocol is followed by antibody-receptor Pyrx docking and molecular dynamic simulation. These three primary methods are used to visualize the accurate antibody-receptor binding areas and the binding stability of the final structure.
This study proposes an optimized brain tumor detection method by integrating and evaluating five pretrained models. The approach achieves enhanced accuracy and generalization by utilizing advanced image augmentation, hyperparameter tuning, and various optimizers, offering significant contributions to medical imaging for brain tumor diagnosis.