Tool stats & trends
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|Interface||Web user interface|
|Restrictions to use||None|
|Input data||Plain protein sequence|
- person_outline Jianlin Cheng
Publication for DN-Fold
miR 217 Is a Useful Diagnostic Biomarker and Regulates Human Podocyte Cells Apoptosis via Targeting TNFSF11 in Membranous Nephropathy
[…] he results showed that, compared with control patients, the expression of miR-217 was not statistically different in renal tissue and plasma from FSGS, was significantly upregulated in those from the DN (fold change = 4.27 in renal tissue, fold change = 3.25 in plasma), and was significantly downregulated in those from MN (fold change = −6.95 in renal tissue, fold change = −4.12 in plasma) (Figure […]
Adaptive local learning in sampling based motion planning for protein folding
[…] rees 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. In add […]
Dynamic recruitment of Ets1 to both nucleosome occupied and depleted enhancer regions mediates a transcriptional program switch during early T cell differentiation
[…] s also in light of previous reports having linked in vivo T-cell differentiation with distal rather than proximal regulation (). We computed and sorted the union of distal peaks by increasing Ets1 DP/DN fold change (DN + DP peaks, 3900 sites, see Supplementary Table S4 for a complete list) and subdivided them into five distinct classes (also corresponding to unique densities of Ets1 DN or DP signa […]
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