Datasets › CREMP

CREMP

Introduced by Colin A. Grambow et al. in CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning14 May 2023 archive 2025-07-28

CREMP is a resource generated for the rapid development and evaluation of machine learning models for macrocyclic peptides. CREMP contains 36,198 unique macrocyclical peptides and their high-quality structural ensembles generated using the Conformer-Rotamer Ensemble Sampling Tool (CREST).

Source: CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning

Image Source: CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CREMP

1 variant name, as the archive lists them.

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