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  size_categories:
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  - "n>1M"
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  ---
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- # PISCES-CulledPDB
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- Curated protein chain tables from PISCES/CullPDB: one row per chain with sequence and metadata. Use the **subset dropdown** in the [Hugging Face Data Viewer](https://huggingface.co/datasets/PRMegathon26/PISCES-CulledPDB) to switch between the main table and 242 curation subsets.
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- ## Dataset description
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  The **PISCES dataset** provides curated sets of protein sequences from the Protein Data Bank (PDB) based on sequence identity and structural quality criteria. PISCES yields **non-redundant subsets of protein chains** by applying filters such as sequence identity, experimental resolution, R-factor, chain length, and experimental method (e.g., X-ray, NMR, cryo-EM). The goal is to maximize structural reliability while minimizing sequence redundancy. Unlike culling tools that rely on BLAST or global alignments, PISCES uses **PSI-BLAST** for position-specific scoring matrices, improving detection of homologs below 40% sequence identity.
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  size_categories:
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  - "n>1M"
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  ---
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+ # PISCES-CulledPDB database
 
 
 
 
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  The **PISCES dataset** provides curated sets of protein sequences from the Protein Data Bank (PDB) based on sequence identity and structural quality criteria. PISCES yields **non-redundant subsets of protein chains** by applying filters such as sequence identity, experimental resolution, R-factor, chain length, and experimental method (e.g., X-ray, NMR, cryo-EM). The goal is to maximize structural reliability while minimizing sequence redundancy. Unlike culling tools that rely on BLAST or global alignments, PISCES uses **PSI-BLAST** for position-specific scoring matrices, improving detection of homologs below 40% sequence identity.
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