CSpritz statistics

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CSpritz specifications


Unique identifier OMICS_03626
Name CSpritz
Interface Web user interface
Restrictions to use None
Input data A single or multiple sequences.
Input format FASTA
Output data Statistics, links to individual pages, a downloadable archive for all user supplied proteins if more than one sequence was submitted, a histogram of disordered segments, an archive for download containing all generated data, predicted disorder and annotation for individual proteins and several statistics regarding the distribution of disorder.
Computer skills Basic
Version 1.2
Stability Stable
Maintained Yes


  • person_outline Silvio Tosatto <>

Publication for CSpritz

CSpritz in publications

PMCID: 5570939
PMID: 28839181
DOI: 10.1038/s41598-017-09541-2

[…] with an invariant triplet “npn” motif from the 36th to 136th residues (see supplementary fig. ). the dr1372 protein disorder predictions suggested a small propensity to be an order protein using cspritz software (fig. ). the predicted hydropathy and ordered characteristics of the truncated dr1372 protein without the signal peptide showed a very high degree of similarity to the intact dr1372 […]

PMCID: 4964407
PMID: 27367684
DOI: 10.3390/ijms17071031

[…] although the function of the bf gene is unknown., the bf proteins lack homologs outside fungi, contain gly-rich stretches (), and are highly disordered as predicted by computational analysis using cspritz []. intrinsically disordered proteins may stabilize protein complexes by binding to partners through short linear motifs (slims) and computational analysis using elm [] identified several […]

PMCID: 4632708
PMID: 26426014
DOI: 10.3390/ijms161023446

[…] consists of 20 inputs each unit is allocated for one of 20 amino acids. espritz is an efficient single sequence method, annotating entire genomes in the order of hours on a single processor core., cspritz is a web server for the prediction of intrinsic protein disorder []. this approach accomplishes the prediction through a combination of three machine learning systems including spritz (based […]

PMCID: 4581330
PMID: 26307973
DOI: 10.3390/ijms160819868

[…] but subtler information, such as the msa., we also compare our predictors to state-of-the-art methods based on sensitivity (sens), specificity (spec) and auc (roc). these methods, among which cspritz, espritz, multicom, pondr-fit, disopred and iupred, have been tested and evaluated on an x-ray test set of 569 structures as reported in []. although this comparison () has to be taken […]

PMCID: 4581309
PMID: 26295225
DOI: 10.3390/ijms160819490

[…] []. it is important that the results of our method (isunstruct) are better than the results of the meta-predictor pondr-fit [] and are comparable to the results of the neural-network-based technique cspritz [] (see ). our program works as well as the meta-server programs. this fact is presented in table 5 from paper []., we have done additional calculations to demonstrate the definition […]

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CSpritz institution(s)
Department of Biology, University of Padua, Padova, Italy; European Bioinformatics Institute, EMBL Outstation, Hinxton, UK; School of Computer Science and Informatics, University College Dublin, Dublin, Ireland
CSpritz funding source(s)
Supported by University of Padova (CPDA098382, CPDR097328), FIRB Futuro in Ricerca (RBFR08ZSXY).

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