BioinformaticsbioRxivPreprint
Prediction of Protein Half-lives from Amino Acid Sequences by Protein Language Models
Tatsuya Sagawa, Eisuke Kanao, Kosuke Ogata…·Yasushi Ishihama
The paper develops a protein half-life prediction model, PLTNUM, using a protein language model trained on NIH3T3 mouse data, achieving 71% accuracy and identifying key sequence features affecting half-life.
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