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MoRFCHiBi specifications

Information


Unique identifier OMICS_07606
Name MoRFCHiBi
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 0.9
Stability Beta
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Jörg Gsponer

Publication for MoRFCHiBi

MoRFCHiBi citations

 (5)
library_books

Novel linear motif filtering protocol reveals the role of the LC8 dynein light chain in the Hippo pathway

2017
PLoS Comput Biol
PMCID: 5746249
PMID: 29240760
DOI: 10.1371/journal.pcbi.1005885

[…] ues corresponding to different false positive rates. The optimal choice was IUPred with the cutoff value of 0.42, which was fulfilled by all but one known motifs.We also tested three methods (ANCHOR, MoRFchibi, DISOPRED3) [–] for predicting disordered binding regions also known as molecular recognition features (MoRFs). The information gain was much lower, compared to previous criteria. The optima […]

library_books

Identification and Initial Characterization of the Effectors of an Anther Smut Fungus and Potential Host Target Proteins

2017
Int J Mol Sci
PMCID: 5713455
PMID: 29165363
DOI: 10.3390/ijms18112489

[…] energy by interacting with a globular protein partner []. Furthermore, the presence of MoRFs in MVLG_01732, MVLG_04106, MVLG_05720, and MVLG_06175 was further evaluated by another computational tool, MoRFchibi []. […]

call_split

A Comprehensive Survey of the Roles of Highly Disordered Proteins in Type 2 Diabetes

2017
Int J Mol Sci
PMCID: 5666700
PMID: 28934129
DOI: 10.3390/ijms18102010
call_split See protocol

[…] lobules [].To analyze the consensus intrinsic disorder and to find disorder-based interaction sites, molecular recognition features (MoRFs), the MobiDB database [,], the ANCHOR algorithm [,], and the MoRFchibi system [] were used. The MobiDB database combines different data sources related to protein disorder into a consensus annotation, and was used to analyze the consensus intrinsic disorder. Th […]

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

[…] MoRFchibi SYSTEM includes three separate MoRF predictors; MoRFCHiBi, MoRFCHiBi_Light and MoRFCHiBi_Web (Figure ).MoRFCHiBi relies on two SVMs modules to predict MoRFs based solely on local physicochem […]

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

[…] dependent dataset from DisProt. Using Bayes rule to integrate multiple propensity scores generated by different predictors targeting different features using different machine learning tools provides MoRFCHiBi_Web with less potential for biased scoring compared to predictors that are based on a single machine learning tool.In summary, we introduced a new MoRF predictor, MoRFCHiBi_Web, which is bas […]

Citations

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MoRFCHiBi institution(s)
Centre for High-Throughput Biology, University of British Columbia, Vancouver, BC, Canada

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