DNdisorder specifications


Unique identifier OMICS_06384
Name DNdisorder
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No

Publication for DNdisorder

DNdisorder citations


An Overview of Predictors for Intrinsically Disordered Proteins over 2010–2014

Int J Mol Sci
PMCID: 4632708
PMID: 26426014
DOI: 10.3390/ijms161023446
call_split See protocol

[…] de a tool that possesses the characteristic of consistently high accuracy in predicting both short and long disordered regions. And SPINE-D is one of the top servers according to the CASP9 ranking [].DNdisorder employs boosted ensembles of deep networks to predict disordered regions in proteins []. Deep networks (DNs) are similar to neural networks but contain more layers and are trained in a slig […]


An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions

Int J Mol Sci
PMCID: 4519904
PMID: 26198229
DOI: 10.3390/ijms160715384
call_split See protocol

[…] s long, and residues missing from the experimentally-determined structure were considered disordered. This dataset was initially used to develop DISpro [] and later used to produce PreDisorder [] and DNdisorder []. The DisProt dataset is a set of proteins that contain regions that have been experimentally determined to be ordered or disordered []. For this work, Version 6.0 was downloaded from htt […]

DNdisorder institution(s)
Department of Computer Science, University of Missouri, Columbia, MO, USA

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