Protocols

DNdisorder specifications

Information


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

 (2)
call_split

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

2015
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 […]

call_split

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

2015
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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