For use of the Disorder Atlas tool, please cite the following bioRxiv article:
Vincent, M., and Schnell, S. 2017. Disorder Atlas: web-based software for the proteome-based interpretation of intrinsic disorder predictions. bioRxiv DOI: 10.1101/060699
For use of the quantitative guidelines for interpreting intrinsic disorder predictions, please cite:
Vincent, M., Whidden, M., and Schnell, S. (2016). Quantitative proteome-based guidelines for intrinsic disorder characterization. Biophysical Chemistry 213, 6-16. DOI: 10.1016/j.bpc.2016.03.005
To use the data used and maintained by Disorder Atlas, please cite the following article:
Vincent, M., and Schnell, S. (2016). A collection of intrinsic disorder characterizations from eukaryotic proteomes. Scientific Data 3, 160045. DOI: 10.1038/sdata.2016.45
The database is available at Dryad: 10.5061/dryad.sm107
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Dosztányi, Z., Csizmók, V., Tompa, P., and Simon, I. (2008). IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content. Bioinformatics 21, 3433-3434.
R. Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson and R.B. Russell. (2003). Protein disorder prediction: implications for structural proteomics. Structure 11(11): 1,453-1,459.
Holehouse, A.S., Das, R.K., Richardson, M.G., Ahad, J., and Pappu, R.V. (2015). CIDER: Classification of Intrinsically Disordered Ensemble Regions, http://pappulab.wustl.edu/CIDER (localCIDER version [0.1.7])