Protein Language Model

Protein language models are methods that utilize deep learning techniques to model protein sequences, aiming to predict protein structure and function by analyzing amino acid sequences. These models, through the learning of large amounts of protein data, can capture complex patterns and interactions within sequences, thereby providing crucial support in medical fields such as drug design, disease mechanism research, and biomarker discovery. The core objective is to enhance the efficiency and accuracy of protein-related research, accelerating the process of new drug development.