{"url":"/dataset/cremp","name":"CREMP","full_name":null,"description_markdown":"**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).\r\n\r\nSource: [CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning](https://arxiv.org/pdf/2305.08057v1.pdf)\r\n\r\nImage Source: [CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning](https://arxiv.org/pdf/2305.08057v1.pdf)","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.7931445","introduced_date":"2023-05-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/cremp-conformer-rotamer-ensembles-of","title":"CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning","first_author":"Colin A. Grambow","url":null},"license":null,"modalities":[{"name":"Biology","url":"/datasets/modality/biology"}],"tasks":[],"languages":[],"variants":["CREMP"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}