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Verified signature## **Fine-Tuning ESM-1b for Phosphosite Prediction** This repository provides a fine-tuned version of the [ESM-1b]([https://website-name.com](https://huggingface.co/facebook/esm1b_t33_650M_UR50S)) model, trained to classify phosphosites using unlabeled phosphosites(ie, which kinases phosphorylate those phosphosites is unknown) from [PhosphoSitePlus](https://www.phosphosite.org/staticDownloads). The model is designed for binary classification, distinguishing phosphosites from non-phosphorylated peptid sequences [(Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites)](https://www.sciencedirect.com/science/article/pii/S1535947620311518) ### **Dataset & Labeling Strategy** The dataset was constructed using phosphosite information from **PhosphoSitePlus**, with the following assumptions: - Positive Samples: Known phosphorylated residues from PhosphoSitePlus. - Negative Samples: Derived by selecting 15-residue sequences from the same proteins, ensurin…dfb95f9
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