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README.md
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---
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license: cc-by-4.0
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configs:
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- config_name: "cullpdb_pc15.0_res0.0-1.0_len40-10000_R0.2_Xray_d2026_01_26_chains281"
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data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_len40-10000_R0.2_Xray_d2026_01_26_chains281.csv"
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default: true
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- config_name: "main"
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data_files: "curated_csv/
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- config_name: "cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267"
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data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267.csv"
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- config_name: "cullpdb_pc15.0_res0.0-1.2_len40-10000_R0.2_Xray_d2026_01_26_chains785"
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data_files: "curated_csv/subsets/cullpdb_pc95.0_res0.0-5.0_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains79005.csv"
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- config_name: "cullpdb_pc95.0_res0.0-5.0_noBrks_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains62732"
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data_files: "curated_csv/subsets/cullpdb_pc95.0_res0.0-5.0_noBrks_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains62732.csv"
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---
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# PISCES-CulledPDB
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| Item | Description |
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|------|-------------|
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| **Main CSV** | `curated_csv/
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| **Subsets** | `curated_csv/subsets/*.csv` — 242 files (same columns) |
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| **Index** | `curated_csv/cullpdb_list_fasta_index.csv` — 242 rows |
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from huggingface_hub import hf_hub_download
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import pandas as pd
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path = hf_hub_download(repo_id="PRMegathon26/PISCES-CulledPDB", filename="curated_csv/
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df = pd.read_csv(path)
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```
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From repo root after clone/download:
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```bash
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python src/filter_chains_csv.py --input curated_csv/
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```
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Options: `--pc`, `--pc-min`, `--pc-max`, `--resolution-min`, `--resolution-max`, `--no-breaks`, `--R`, `--method`, `--len-min`, `--len-max`.
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---
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viewer: true
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license: cc-by-4.0
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configs:
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- config_name: "cullpdb_pc15.0_res0.0-1.0_len40-10000_R0.2_Xray_d2026_01_26_chains281"
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data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_len40-10000_R0.2_Xray_d2026_01_26_chains281.csv"
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default: true
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- config_name: "main"
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data_files: "curated_csv/cullpdb_combined_chains.csv"
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- config_name: "cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267"
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data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267.csv"
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- config_name: "cullpdb_pc15.0_res0.0-1.2_len40-10000_R0.2_Xray_d2026_01_26_chains785"
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data_files: "curated_csv/subsets/cullpdb_pc95.0_res0.0-5.0_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains79005.csv"
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- config_name: "cullpdb_pc95.0_res0.0-5.0_noBrks_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains62732"
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data_files: "curated_csv/subsets/cullpdb_pc95.0_res0.0-5.0_noBrks_len40-10000_R1.0_Xray+Nmr+EM_d2026_01_26_chains62732.csv"
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task_categories:
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- other
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tags:
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- biology
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- protein
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- structure
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- PDB
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- PISCES
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- CullPDB
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- sequence
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- curation
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language: en
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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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| Item | Description |
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|------|-------------|
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| **Main CSV** | `curated_csv/cullpdb_combined_chains.csv` — N/A chains |
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| **Subsets** | `curated_csv/subsets/*.csv` — 242 files (same columns) |
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| **Index** | `curated_csv/cullpdb_list_fasta_index.csv` — 242 rows |
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from huggingface_hub import hf_hub_download
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import pandas as pd
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path = hf_hub_download(repo_id="PRMegathon26/PISCES-CulledPDB", filename="curated_csv/cullpdb_combined_chains.csv", repo_type="dataset")
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df = pd.read_csv(path)
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```
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From repo root after clone/download:
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```bash
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python src/filter_chains_csv.py --input curated_csv/cullpdb_combined_chains.csv --output my_filtered.csv --pc 20 --resolution-max 2.0 --no-breaks yes --R 0.25
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```
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Options: `--pc`, `--pc-min`, `--pc-max`, `--resolution-min`, `--resolution-max`, `--no-breaks`, `--R`, `--method`, `--len-min`, `--len-max`.
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