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README.md
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@@ -15,7 +15,7 @@ PIPES-M is a fine-tuned sequence classification model built on the **ESM-2** pro
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- Pre-trained on UniRef50 via masked language modeling
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Fine-tuning was performed on a high-quality curated dataset comprising:
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- Positive examples: known protease inhibitors (<250 AA) from the MEROPS database
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- Negative examples: non-inhibitors selected from UniProt using sequence similarity and Pfam domain analysis
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Training used sequence-only input, requiring no structural data. The classification head leverages evolutionary and physicochemical features encoded by ESM-2.
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- Pre-trained on UniRef50 via masked language modeling
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Fine-tuning was performed on a high-quality curated dataset comprising:
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- Positive examples: known protease inhibitors (<250 AA) from the MEROPS and Uniprot database
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- Negative examples: non-inhibitors selected from UniProt using sequence similarity and Pfam domain analysis
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Training used sequence-only input, requiring no structural data. The classification head leverages evolutionary and physicochemical features encoded by ESM-2.
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