Multilayered Fusion-based Disorder predictor v. 2.00 (MFDp2)
MFDp2 combines per-residue disorder probabilities predicted by MFDp with per-sequence disorder content predicted by DisCon, and applies novel post-processing filters to provide disorder predictions with improved predictive quality. It outputs optimized per-residue disorder probability profiles, per-sequence disorder content, list (with analysis) of disordered segments, and several profiles that help in the interpretation of the results. The results are available online in graphical format and can be also downloaded in text-based (parsable) format.
HINT: The symbols indicate availability of (additional) explanations. Clicking opens a new window with help and hints related to the selected section/task.
Note: Result page enables the user to download the raw results from MFDp and DisCon as .csv or .fasta file if needed for comparison with other methods.
Upon the usage the users are requested to use the following citations:
Mizianty MJ, Peng Z, Kurgan LA, 2013.
MFDp2 - accurate predictor of disorder in proteins by fusion of disorder probabilities, content and profiles.
Intrinsically Disordered Proteins, 1(1): e24428.
Mizianty MJ, Stach W, Chen K, Kedarisetti KD, Disfani FM, Kurgan LA, 2010.
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources.
Bioinformatics, 26(18): i489-i496.
Mizianty MJ, Zhang T, Xue B, Zhou Y, Dunker AK, Uversky VN, Kurgan LA, 2011.
In-silico prediction of disorder content using hybrid sequence representation.
BMC Bioinformatics, 12(1): 245.
- DP_new - Dataset used to validate MFDp2 (each residue is annotated with one of the following O - ordered, D - disordered, u - unknow annotation)
- MxD - Dataset used in Bioinformatics 2010 26(18): i489-i496.
MxD training, and
MxD test - datasets used in BMC Bioinformatics, 2011 12(1): 245.
- Appendix for Bioinformatics 2010 26(18): i489-i496.
We acknowledge with thanks the following software used as a part of this server: