An Implementation of Artificial Intelligence to Accelerate Protein Structure Prediction

This study explores the significant application of artificial intelligence (AI) in the prediction and generation of three-dimensional protein structures. It aims to investigate AI's role in the protein domain, with a particular focus on its potential value and prospects in discovering new species, studying novel antibodies, and protein engineering.The entire process consists of the following parts. Firstly, review the limitations of traditional protein structure prediction methods and the application of AI in bioinformatics. Secondly, provide a detailed overview of the principles and methods of machine learning and deep learning technologies in protein structure prediction. Subsequently, analyze the potential applications of these technologies in discovering new biological species, researching novel antibodies, and conducting protein engineering. Finally, outline future directions in AI for protein research, including enhancing model accuracy, expanding application areas, and promoting the integration of laboratory and computational methods.