Before revision:  PLUS is designed to learn protein representations with two pre-training objectives , i.e., masked language modeling and same family prediction. Then, the pre-trained model can be fine-tuned for a wide range of tasks without training randomly initialized task-specific models from scratch. It obtains new state-of-the-art results on both (1)  protein-level and (2) amino-acid-level tasks, outperforming many task-specific algorithms.
After revision:  PLUS is designed to learn protein representations with two pre-training objectives , i.e., (1) protein-level and (2) amino-acid-level tasks, outperforming many task-specific algorithms.