Intrinsic disorder prediction from the analysis of multiple protein fold recognition models

By Liam J. McGuffin. 2008

116 citations recorded by the source corpus.

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In Molecular Biology

Citations in the corpus

Comprehensive comparative assessment of in-silico predictors of disordered regions. (2012, methodology): “approaches based on analysis of predicted 3D structural models such as PrDOS [[49]] and DISOclust [[50]].”
SOcK, MiSTs, MASK and STicKs: the GCKIII (germinal centre kinase III) kinases and their heterologous protein-protein interactions. (2013, background): “149 McGuffin, L. J. and Roche, D. B. (2010) Rapid model quality assessment for protein”
PONDR-FIT: A Meta-Predictor of Intrinsically Disordered Amino Acids (2010, background): “Several additional predictors take advantage of template sequences to predict disordered residues, such as PrDOS [29] and DISOclust [30].”
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions (2017, background): “DISOclust 2015 [75, 79] WS ? SP No http://www.”
Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies (2015, unknown): “MFDp [35] http://biomine-ws.ece. ualberta.ca/MFDp.html 3 servers; DISOclust [48], DISOPRED [36], IUPred [39].”
A novel non-canonical mechanism of regulation of MST3 (mammalian Sterile20-related kinase 3) (2012, unknown): “The disorder probability plot was produced using the DISOclust method (http://www.reading.ac.uk/bioinf/DISOclust/) for the prediction of intrinsically unstructured regions in proteins [32].”
Evolutionary resurrection of flagellar motility via rewiring of the nitrogen regulation system (2015, methodology): “Intrinsic protein 348 disorder was predicted using the DISOclust method (27).”