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---
license: cc
task_categories:
- sentence-similarity
tags:
- biology
- protein
---
# Protein Pairs and Similarity
Selected protein similarities within training, test, and validation sets.
Each protein gets two similarities selected at random and (if possible) proteins within the top and bottom quintiles for similarity.
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 ).
The distance column is cosine distance (identical = 0) on UniProt / SwissProt 1,024-dimension embeddings, downloaded in March 2024.
For models and training scripts optimizing for similarity, you should use `(1 - distance)`.
Train / test / validation splits are from [khairi/uniprot-swissprot](https://huggingface.co/datasets/khairi/uniprot-swissprot/tree/39d2f9010ceb2599a12397b79babc902f8c440e6)
Code notebook: https://colab.research.google.com/drive/1rhoF0pAauHbiaNHdZkOI5O7A3mMcvS6G?usp=sharing
Source of proteins: UniProt-SwissProt
Download 1,024-dim embeddings from UniProt: https://www.uniprot.org/help/downloads#embeddings |