Pre Trained Protein Language Model

Pre-trained protein language models leverage the power of deep learning to analyze protein sequences, aiming to predict various protein properties and functionalities more accurately than traditional methods. Current research focuses on improving model architectures through techniques like contrastive learning and incorporating structural information (3D protein chains and atom-level details) alongside sequence data, often using masked language modeling. These advancements significantly improve performance in tasks such as predicting protein-protein interactions, binding affinities, and activity cliffs, thereby accelerating drug discovery and furthering our understanding of biological processes.