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DN-Fold specifications


Unique identifier OMICS_10826
Name DN-Fold
Interface Web user interface
Restrictions to use None
Input data Plain protein sequence
Computer skills Basic
Stability Stable
Maintained Yes


Publication for DN-Fold

DN-Fold citations


Adaptive local learning in sampling based motion planning for protein folding

BMC Syst Biol
PMCID: 4977477
PMID: 27490494
DOI: 10.1186/s12918-016-0297-9

[…] that are each trained on datasets of target-template protein pairs. rf-fold recognition rate is comparable to the best performance in fold recognition at the family, superfamily, and fold levels., dn-fold is another fold recognition technique, but it uses a deep learning neural network as a basis for learning []. a deep learning network has many more layers than a typical neural network. […]


Dynamic recruitment of Ets1 to both nucleosome occupied and depleted enhancer regions mediates a transcriptional program switch during early T cell differentiation

Nucleic Acids Res
PMCID: 4856961
PMID: 26673693
DOI: 10.1093/nar/gkv1475

[…] described for dnasei hypersensitive sites (dhss) (,). in brief, summits of ets1 dn and dp peaks were merged, annotated as proximal or distal sites to the nearest gene and sorted by ets1 dp/dn fold change after retrieving counts in both datasets at summits. corresponding heatmaps and average profiles of other high-throughput sequencing data were retrieved using this order via […]

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DN-Fold institution(s)
Department of Computer Science, University of Missouri, Columbia, MO, USA; Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA; Department of Computer Science, Central Michigan University, Mount Pleasant, MI, USA

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