OPAL+: Length-Specific MoRF Prediction in Intrinsically Disordered Protein Sequences
Published 2018 View Full Article
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Title
OPAL+: Length-Specific MoRF Prediction in Intrinsically Disordered Protein Sequences
Authors
Keywords
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Journal
PROTEOMICS
Volume -, Issue -, Pages 1800058
Publisher
Wiley
Online
2018-10-16
DOI
10.1002/pmic.201800058
References
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Related references
Note: Only part of the references are listed.- OPAL: prediction of MoRF regions in intrinsically disordered protein sequences
- (2018) Ronesh Sharma et al. BIOINFORMATICS
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- IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding
- (2018) Bálint Mészáros et al. NUCLEIC ACIDS RESEARCH
- Extreme disorder in an ultrahigh-affinity protein complex
- (2018) Alessandro Borgia et al. NATURE
- Molecular recognition features (MoRFs) in three domains of life
- (2016) Jing Yan et al. Molecular BioSystems
- MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences
- (2016) Nawar Malhis et al. NUCLEIC ACIDS RESEARCH
- Computational identification of MoRFs in protein sequences
- (2015) Nawar Malhis et al. BIOINFORMATICS
- Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule
- (2015) Nawar Malhis et al. PLoS One
- DISOPRED3: precise disordered region predictions with annotated protein-binding activity
- (2014) David T. Jones et al. BIOINFORMATICS
- Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life
- (2014) Zhenling Peng et al. CELLULAR AND MOLECULAR LIFE SCIENCES
- A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
- (2013) Alok Sharma et al. BMC BIOINFORMATICS
- MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins
- (2012) Fatemeh Miri Disfani et al. BIOINFORMATICS
- A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
- (2012) Alok Sharma et al. JOURNAL OF THEORETICAL BIOLOGY
- ESpritz: accurate and fast prediction of protein disorder
- (2011) Ian Walsh et al. BIOINFORMATICS
- Retro-MoRFs: Identifying Protein Binding Sites by Normal and Reverse Alignment and Intrinsic Disorder Prediction
- (2010) Bin Xue et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- ANCHOR: web server for predicting protein binding regions in disordered proteins
- (2009) Z. Dosztanyi et al. BIOINFORMATICS
- Prediction of Protein Binding Regions in Disordered Proteins
- (2009) Bálint Mészáros et al. PLoS Computational Biology
- 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
- (2008) Eshel Faraggi et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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