MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins
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Title
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 28, Issue 12, Pages i75-i83
Publisher
Oxford University Press (OUP)
Online
2012-06-11
DOI
10.1093/bioinformatics/bts209
References
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Note: Only part of the references are listed.- Comprehensive Comparative Assessment of In-Silico Predictors of Disordered Regions
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- Improved Disorder Prediction by Combination of Orthogonal Approaches
- (2009) Avner Schlessinger et al. PLoS One
- Prediction of Protein Binding Regions in Disordered Proteins
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- (2008) Christopher J Oldfield et al. BMC GENOMICS
- Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network
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