CREMP
Introduced by Grambow et al. in CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning
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 LearningPapers
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