Response Score-based Protein Structure Analysis For Cancer Prediction Aided By The Internet Of Things

This article introduces a Protein Structure Prediction Technique (PSPT) based on Three-Dimensional Sequence (3DS) and its integration with IoT for more accurate cancer prediction. The technique utilizes a stacking approach and diverse machine learning and deep learning algorithms to improve accuracy and mitigate biases. The 3DS model analyzes amino acids and their folds to predict the consequences of cancer.