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README.md
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# Dataset for protein-protein interaction prediction across bacteria (Protein sequences)
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A dataset of 10,533 bacterial genomes across 6,956 species with protein-protein interaction (PPI) scores for each genome.
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ppi_triples = item["triples_combined_score"]
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# get protein seqs and label for one pair of proteins
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prot1 = prot_seqs[ppi_triples[0]]
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prot2 = prot_seqs[ppi_triples[1]]
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score = ppi_triples[2] / 1000
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# we recommend binarizing the labels based on the threshold of 0.6
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binary_ppi_triples = [
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(prot1_index, prot2_index, (score / 1000) >= 0.6) for prot1_index, prot2_index, score in ppi_triples
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]
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```
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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---
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license: apache-2.0
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tags:
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- ppi
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- proteins
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- biology
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- bacteria
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- stringdb
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pretty_name: Dataset for predicting protein-protein interactions in bacterial genomes
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size_categories:
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- 10K<n<100K
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---
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# Dataset for protein-protein interaction prediction across bacteria (Protein sequences)
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A dataset of 10,533 bacterial genomes across 6,956 species with protein-protein interaction (PPI) scores for each genome.
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ppi_triples = item["triples_combined_score"]
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# get protein seqs and label for one pair of proteins
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prot1 = prot_seqs[ppi_triples[0][0]]
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prot2 = prot_seqs[ppi_triples[0][1]]
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score = ppi_triples[0][2] / 1000
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# we recommend binarizing the labels based on the threshold of 0.6
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binary_ppi_triples = [
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(prot1_index, prot2_index, int((score / 1000) >= 0.6)) for prot1_index, prot2_index, score in ppi_triples
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]
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```
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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