ArticleScientific data2026
A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Small proteins, with more pronounced conformational flexibility, are crucial in biological processes and their function is linked to their high flexibility. While several databases are widely used to characterize protein dynamics, a significant data gap remains for small proteins comprising 5-100 amino acids. To address this, we present DynoDB, a dataset of small protein conformational ensembles from all-atom molecular dynamics simulations. In DynoDB, a total of 8,385 small proteins were subjected to all-atom molecular dynamics simulations of 100 ns each. We generated about 9.1 TB of trajectory data, covering diverse functional types of biomolecules, along with structural and functional annotations, as well as dynamic analysis results. This dataset systematically captures the conformational dynamics of the small proteins, serving as a dedicated data resource for the field of peptide design, vaccine development, antimicrobial screening, and AI modeling.
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