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  tags:
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  - biology
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  - protein
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - biology
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  - protein
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+ ---
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+ # Protein Pairs and Similarity
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+ Selected protein similarities within training, test, and validation sets.
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+ Each protein gets two similarities selected at random and (if possible) proteins within the top and bottom quintiles for similarity.
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+ The protein is represented by its UniProt ID and its amino acid sequence (using IUPAC-IUB codes where each amino acid maps to a letter of the alphabet, see: https://en.wikipedia.org/wiki/FASTA_format ).
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+ The distance column is cosine distance (identical = 0) on UniProt / SwissProt 1,024-dimension embeddings, downloaded in March 2024.
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+ For models and training scripts optimizing for similarity, you should use `(1 - distance)`.
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+ Train / test / validation splits are from [khairi/uniprot-swissprot](https://huggingface.co/datasets/khairi/uniprot-swissprot/tree/39d2f9010ceb2599a12397b79babc902f8c440e6)
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+ Code notebook: https://colab.research.google.com/drive/1rhoF0pAauHbiaNHdZkOI5O7A3mMcvS6G?usp=sharing
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+ Source of proteins: UniProt-SwissProt
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+ Download 1,024-dim embeddings from UniProt: https://www.uniprot.org/help/downloads#embeddings