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MFSPSSMpred specifications

Information


Unique identifier OMICS_06385
Name MFSPSSMpred
Alternative name Masked, Filtered and Smoothed Position-Specific Scoring Matrix-based Predictor
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No

Publication for Masked, Filtered and Smoothed Position-Specific Scoring Matrix-based Predictor

MFSPSSMpred citations

 (4)
library_books

Predicting MoRFs in protein sequences using HMM profiles

2016
BMC Bioinformatics
PMCID: 5259822
PMID: 28155710
DOI: 10.1186/s12859-016-1375-0

[…] 70 amino acids and are often described as disordered domains.Several predictors have been developed to identify SLiMs and MoRFs in disordered protein sequences [, ], namely, MoRFpred [], ANCHOR [, ], MFSPSSMpred [], γ-MoRF-PredII [], SliMpred [], SLiMDis [] and SliMFinder []. Considering all of the above predictors, the methods for identifying SLiMs and MoRFs are different even though SLiMs and Mo […]

call_split

MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences

2016
Nucleic Acids Res
PMCID: 4987941
PMID: 27174932
DOI: 10.1093/nar/gkw409
call_split See protocol

[…] may be present, sequences in TEST_EXP53 are annotated with all known MoRFs.We also used a third test set, TEST_EXP9, to compare the prediction quality of the MoRFchibi SYSTEM predictors with that of MFSPSSMpred and DISOPRED3. These two SVM-RBF predictors are trained on an extended set of MoRFs including most of those found in our TEST_HT and TEST_EXP53 sets. The nine sequences of TEST_EXP9, colle […]

library_books

Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule

2015
PLoS One
PMCID: 4627796
PMID: 26517836
DOI: 10.1371/journal.pone.0141603

[…] esults demonstrate that MoRFCHiBi_Web outperforms all three predictors. Furthermore, MoRFCHiBi_Web generates less than half the false positive rate of other predictors at most cut-off values. Because MFSPSSMpred and DISOPRED3 use a different set of training data, we have to rely on a small set of only 9 sequences, EXP9, collected by the authors of the latter to compare the performance of these two […]

library_books

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

[…] osed for disorder-based rational drug design or discovery [,,,,]. Thus, several protein disorder prediction methods have been applied to aid in new drug target discovery or design. One method, called MFSPSSMpred (masked, filtered and smoothed position-specific scoring matrix-based predictor) [] was proposed to identify MoRFs (molecular recognition features), short disorder-to-order binding regions […]

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MFSPSSMpred institution(s)
Department of Computer Science and Engineering, Waseda University, Tokyo, Japan

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