PDB-CCD / README.md
anindya64's picture
Update README.md
fcafbef verified
metadata
pretty_name: PDB Chemical Component Dictionary
license: other
tags:
  - biology
  - chemistry
  - structural-biology
  - pdb
  - chemical-components
  - mmcif
  - parquet
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet
      - split: test
        path: data/test-*.parquet

PDB Chemical Component Dictionary

PDB-CCD is the Chemical Component Dictionary used by the Protein Data Bank to describe residues, modified residues, ligands, solvents, and other chemical components in macromolecular structures.

Splits

The split is deterministic by component identifier: sha256(component_id) % 10. Bucket 0 is test; buckets 1 through 9 are train.

Split Rows
train 45,045
test 5,009
total 50,054

Dataset Statistics

Field Value
Components 50,054
Released components 49,292
Obsolete components 762
Components with atoms 49,947
Components with bonds 49,921
Components with descriptors 50,052
Components with identifiers 37,058
Components with PCM annotations 613
Latest modified date in source 2026-04-24
Common component type Rows
NON-POLYMER 26,117
non-polymer 19,493
L-PEPTIDE LINKING 923
L-peptide linking 580
peptide-like 556
D-saccharide 405
DNA LINKING 325
RNA LINKING 223

Usage

Install the Hugging Face Datasets library:

pip install datasets

Load all splits:

from datasets import load_dataset

ds = load_dataset("LiteFold/PDB-CCD")
print(ds)

row = ds["train"][0]
print(row["component_id"], row["name"], row["formula"])

Load one split:

from datasets import load_dataset

train = load_dataset("LiteFold/PDB-CCD", split="train")
test = load_dataset("LiteFold/PDB-CCD", split="test")

Stream rows without downloading the full table first:

from datasets import load_dataset

stream = load_dataset("LiteFold/PDB-CCD", split="train", streaming=True)
for row in stream.take(5):
    print(row["component_id"], row["canonical_smiles"], row["atom_count"])

Filter released non-polymer components with InChIKeys:

from datasets import load_dataset

ds = load_dataset("LiteFold/PDB-CCD", split="train")
released = ds.filter(
    lambda row: row["release_status"] == "REL"
    and row["component_type"] in {"NON-POLYMER", "non-polymer"}
    and row["inchikey"] is not None
)
print(released[0])

Find components modified after a date:

from datasets import load_dataset

ds = load_dataset("LiteFold/PDB-CCD", split="train")
recent = ds.filter(lambda row: row["modified_date"] is not None and row["modified_date"] >= "2026-01-01")
print(recent[0]["component_id"], recent[0]["modified_date"])

Columns

Column Description
component_id Chemical component identifier.
name Component name from _chem_comp.name.
component_type Raw _chem_comp.type value.
pdbx_type Raw _chem_comp.pdbx_type value.
formula Chemical formula.
formula_weight Formula weight as a float.
formal_charge Formal charge as an integer.
mon_nstd_parent_comp_id Parent component ID for non-standard monomers, when present.
one_letter_code One-letter code, when present.
three_letter_code Three-letter code, when present.
pdbx_synonyms Synonym field from _chem_comp.
synonym_names Synonyms from pdbx_chem_comp_synonyms.
initial_date Initial component date.
modified_date Last modified date.
release_status Release status, such as REL or OBS.
replaced_by Replacement component ID, when present.
replaces Component ID replaced by this component, when present.
atom_ids Atom identifiers from chem_comp_atom.
atom_elements Element symbols for atom_ids.
atom_charges Atom charges.
atom_aromatic_flags Atom aromatic flags.
atom_leaving_flags Atom leaving-atom flags.
atom_stereo_configs Atom stereochemistry flags.
atom_count Number of atoms.
heavy_atom_count Number of non-hydrogen atoms.
hydrogen_atom_count Number of hydrogen atoms.
bond_atom_id_1 First atom ID for each bond.
bond_atom_id_2 Second atom ID for each bond.
bond_orders Bond order values.
bond_aromatic_flags Bond aromatic flags.
bond_stereo_configs Bond stereochemistry flags.
bond_count Number of bonds.
descriptor_types Descriptor types such as SMILES, SMILES_CANONICAL, InChI, and InChIKey.
descriptors Descriptor values.
canonical_smiles First SMILES_CANONICAL descriptor.
smiles First SMILES descriptor.
inchi First InChI descriptor.
inchikey First InChIKey descriptor.
identifier_types Identifier types from pdbx_chem_comp_identifier.
identifiers Identifier values.
systematic_names Identifier values whose type is SYSTEMATIC NAME.
audit_actions Audit action types.
audit_dates Audit dates.
related_component_ids Related component IDs, when present.
pcm_ids Protein modification annotation IDs, when present.
pcm_modified_residue_ids Modified residue IDs from PCM annotations.
feature_types Feature types from pdbx_chem_comp_feature.
feature_values Feature values from pdbx_chem_comp_feature.
split_bucket Deterministic split bucket from sha256(component_id) % 10.

Citation

@article{westbrook2015pdbccd,
  title   = {The chemical component dictionary: complete descriptions of constituent molecules in experimentally determined 3D macromolecules in the Protein Data Bank},
  author  = {Westbrook, John D. and Shao, Chuming and Feng, Zukang and Zhuravleva, Maria and Velankar, Sameer and Young, Jasmine},
  journal = {Bioinformatics},
  volume  = {31},
  number  = {8},
  pages   = {1274--1278},
  year    = {2015},
  doi     = {10.1093/bioinformatics/btu789}
}