MoRFpred statistics

Tool stats & trends

Looking to identify usage trends or leading experts?

Protocols

MoRFpred specifications

Information


Unique identifier OMICS_06383
Name MoRFpred
Alternative name Molecular Recognition Feature predictor
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Publication for Molecular Recognition Feature predictor

MoRFpred citations

 (22)
library_books

Functional Analysis of Human Hub Proteins and Their Interactors Involved in the Intrinsic Disorder Enriched Interactions

2017
Int J Mol Sci
PMCID: 5751360
PMID: 29257115
DOI: 10.3390/ijms18122761

[…] gnized as biologically functional disordered domains [,,]. We predicted the DPB regions with the DisoRDPbind method [,]. DisoRDPbind was recently shown to outperform other similar methods [], such as MoRFpred [], DISOPRED3 [] and ANCHOR []. It is also sufficiently runtime-efficient to process our large dataset. As with all IDPRs, we eliminated putative DPB regions that are shorter than four consec […]

library_books

Hidden α helical propensity segments within disordered regions of the transcriptional activator CHOP

2017
PLoS One
PMCID: 5718554
PMID: 29211802
DOI: 10.1371/journal.pone.0189171

[…] To explore this possibility, we applied bioinformatic tools developed to predict, within IDPs, molecular recognition features (MoRFs) that may undergo disorder-to-order transitions upon binding. Both MoRFpred [] and ANCHOR [] detect three equivalent MoRFs, while a fourth feature is only identified in ANCHOR with lower probability (). Interestingly, two MoRFs predicted by both programs (residues 10 […]

library_books

Structural disorder and induced folding within two cereal, ABA stress and ripening (ASR) proteins

2017
Sci Rep
PMCID: 5686140
PMID: 29138428
DOI: 10.1038/s41598-017-15299-4

[…] d extension complexity [K(2)] = 2.5.Disordered binding regions, i.e. regions with a propensity to undergo folding upon binding to a partner, were identified using ANCHOR (http://anchor.enzim.hu/) and MoRFpred (http://biomine-ws.ece.ualberta.ca/MoRFpred/index.html).HvASR1 and TtASR1 were also submitted to charge/hydropathy analysis, a binary predictor allowing globular proteins to be distinguished […]

library_books

Mycobacterium tuberculosis Complex Exhibits Lineage Specific Variations Affecting Protein Ductility and Epitope Recognition

2016
Genome Biol Evol
PMCID: 5521731
PMID: 28062754
DOI: 10.1093/gbe/evw279

[…] lexity filtered with PFILT and scanned with three iterations of BLASTPGP with an E-value cut-off of 0.001. Predictions in PhoR protein were also done using IUPred and ANCHOR (http://iupred.enzim.hu), MoRFPred (http://biomine-ws.ece.ualberta.ca/MoRFpred/index.html), and RONN (https://www.strubi.ox.ac.uk/RONN). […]

library_books

Bioinformatics and systems biology research update from the 15th International Conference on Bioinformatics (InCoB2016)

2016
BMC Bioinformatics
PMCID: 5259976
PMID: 28155668
DOI: 10.1186/s12859-016-1409-7

[…] ulation, but are very difficult to accurately detect. Sharma et al. [] have addressed this challenge using Hidden Markov Model (HMM) profiles, with their results better with other similar approaches, MoRFpred and ANCHOR. Vasylenko et al. [] have developed SCMBYK, to predict and characterise bacterial tyrosine kinases from protein sequence information, using dipeptide propensity scores. Their analy […]

call_split

Predicting MoRFs in protein sequences using HMM profiles

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

[…] We used the data set that was previously used to benchmark MoRFpred [] and ANCHOR [] predictors. To create this dataset, Disfani et al. [] used structures of protein-peptide interactions from Protein Data Bank (PDB) [, , ]. Structures with peptide regions of […]

Citations

Looking to check out a full list of citations?

MoRFpred institution(s)
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

MoRFpred reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MoRFpred