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Here, we trained the MindSpore ProteinBERT (MP-BERT) model, a Bidirectional Encoder Representation from Transformers, using protein pairs as inputs, making it suitable for identifying PPIs and their respective interaction sites. The pretrained model (MP-BERT) was fine-tuned as MPB-PPI (MP-BERT on PPI) and demonstrated its superiority over the state-of-the-art models on diverse benchmark datasets for predicting PPIs. Moreover, the model\u2019s capability to recognize PPIs among various organisms was evaluated on multiple organisms. An amalgamated organism model was designed, exhibiting a high level of generalization across the majority of organisms and attaining an accuracy of 92.65%. The model was also customized to predict interaction site propensity by fine-tuning it with PPI site data as MPB-PPISP. Our method facilitates the prediction of both PPIs and their interaction sites, thereby illustrating the potency of transfer learning in dealing with the protein pair task.<\/jats:p>","DOI":"10.1093\/bib\/bbad376","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T11:22:19Z","timestamp":1698060139000},"source":"Crossref","is-referenced-by-count":13,"title":["Protein\u2013protein interaction and site prediction using transfer learning"],"prefix":"10.1093","volume":"24","author":[{"given":"Tuoyu","family":"Liu","sequence":"first","affiliation":[{"name":"Biotechnology Research Institute, Chinese Academy of Agricultural Sciences , Beijing 100081 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Gao","sequence":"additional","affiliation":[{"name":"Institute of Animal Science, Chinese Academy of Agricultural Sciences , Beijing 100193 , 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