Data underlying the publication: Histones and histone variant families in prokaryotes
doi:10.4121/d268a6a9-2fc5-46aa-a236-0ca3d3f7ed75.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/d268a6a9-2fc5-46aa-a236-0ca3d3f7ed75
doi: 10.4121/d268a6a9-2fc5-46aa-a236-0ca3d3f7ed75
Datacite citation style:
Schwab, Samuel; Hu, Yimin; van Erp, Bert; Cajili, Marc K. M.; Hartmann, Marcus D. et. al. (2024): Data underlying the publication: Histones and histone variant families in prokaryotes. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/d268a6a9-2fc5-46aa-a236-0ca3d3f7ed75.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2024-08-12 (latest)
version 1 - 2024-07-16
CC BY 4.0by
Samuel Schwab
,
Yimin Hu
,
Bert van Erp
,
Marc K. M. Cajili
,
Marcus D. Hartmann
,
Birte Hernandez Alvarez
,
Vikram Alva
,
Aimee L. Boyle
,
Remus T. Dame
,
Remus T. Dame
The research objective was to make an overview of histones in prokaryotes and to categorize these histones. We have categorized these histones by predicting their monomeric and multimeric structures with AlphaFold2. Histones with similar predicted quaternary structures or with additional domains were categorized as one group. We provide functional insight into these histones from these predicted structures and by generating HMM profiles to find strongly conserved residues. The dataset contains the predicted structures shown in the article, the HMM profiles of all histone categories, and the list of prokaryotic histones.
history
- 2024-07-16 first online
- 2024-08-12 published, posted
publisher
4TU.ResearchData
format
zipped AlphaFold2 predictions, profiles, excel file, csv file
associated peer-reviewed publication
Histones and histone variant families in prokaryotes
organizations
Leiden Institute of Chemistry, Leiden University
DATA
files (56)
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