DeepSF statistics

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Citations per year

Number of citations per year for the bioinformatics software tool DeepSF
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Tool usage distribution map

This map represents all the scientific publications referring to DeepSF per scientific context
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Associated diseases

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Popular tool citations

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DeepSF specifications

Information


Unique identifier OMICS_24998
Name DeepSF
Interface Web user interface
Restrictions to use None
Input data Some protein sequences.
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Documentation


Maintainers


Additional information


https://youtu.be/rvHk83BgaTE https://youtu.be/zqf7foz2q_I

Publication for DeepSF

DeepSF citation

library_books

DeepSF: deep convolutional neural network for mapping protein sequences to folds

2017
Bioinformatics
PMCID: 5905591
PMID: 29228193
DOI: 10.1093/bioinformatics/btx780

[…] r than PSI-BLAST for hard cases when sequence identity is very low. On the validation datasets whose redundancy is reduced to at most 95, 70, 40 and 25% sequence similarity with the training dataset, DeepSF achieves the accuracy of 80.4% (or 93.7%) for top 1 (or top 5) predictions at the 95% similarity level. The average accuracy on all the four validation datasets (95%/70%/40%/25%) is 75.3% (or 9 […]


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DeepSF institution(s)
Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA; Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, MO, USA; Informatics Institute, University of Missouri, Columbia, MO, USA
DeepSF funding source(s)
Supported by an NIH R01 grant (R01GM093123).

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