Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule
Authors
Keywords
-
Journal
PLoS One
Volume 10, Issue 10, Pages e0141603
Publisher
Public Library of Science (PLoS)
Online
2015-10-31
DOI
10.1371/journal.pone.0141603
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Computational identification of MoRFs in protein sequences
- (2015) Nawar Malhis et al. BIOINFORMATICS
- Intrinsically disordered proteins in cellular signalling and regulation
- (2015) Peter E. Wright et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
- Intrinsically Disordered Proteins and Intrinsically Disordered Protein Regions
- (2014) Christopher J. Oldfield et al. Annual Review of Biochemistry
- DISOPRED3: precise disordered region predictions with annotated protein-binding activity
- (2014) David T. Jones et al. BIOINFORMATICS
- Classification of Intrinsically Disordered Regions and Proteins
- (2014) Robin van der Lee et al. CHEMICAL REVIEWS
- Rsp5/Nedd4 is the main ubiquitin ligase that targets cytosolic misfolded proteins following heat stress
- (2014) Nancy N. Fang et al. NATURE CELL BIOLOGY
- Promiscuity as a functional trait: intrinsically disordered regions as central players of interactomes
- (2013) Alexander Cumberworth et al. BIOCHEMICAL JOURNAL
- MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation
- (2013) Chun Fang et al. BMC BIOINFORMATICS
- Structure and Intrinsic Disorder in Protein Autoinhibition
- (2013) Travis Trudeau et al. STRUCTURE
- On the Importance of Polar Interactions for Complexes Containing Intrinsically Disordered Proteins
- (2013) Eric T. C. Wong et al. PLoS Computational Biology
- 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
- SPINE-D: Accurate Prediction of Short and Long Disordered Regions by a Single Neural-Network Based Method
- (2012) Tuo Zhang et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Tissue-Specific Splicing of Disordered Segments that Embed Binding Motifs Rewires Protein Interaction Networks
- (2012) Marija Buljan et al. MOLECULAR CELL
- Linear motifs: lost in (pre)translation
- (2012) Robert J. Weatheritt et al. TRENDS IN BIOCHEMICAL SCIENCES
- ESpritz: accurate and fast prediction of protein disorder
- (2011) Ian Walsh et al. BIOINFORMATICS
- Intrinsically disordered proteins: regulation and disease
- (2011) M Madan Babu et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- Understanding protein non-folding
- (2010) Vladimir N. Uversky et al. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS
- Prediction of Protein Binding Regions in Disordered Proteins
- (2009) Bálint Mészáros et al. PLoS Computational Biology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started