Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks

Natural protein sequences are more intrinsically disordered than random sequences

(2016) Jia-Feng Yu et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

(2015) Rhys Heffernan et al.   BIOINFORMATICS

Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning

(2015) Rhys Heffernan et al.   Scientific Reports

DISOPRED3: precise disordered region predictions with annotated protein-binding activity

(2014) David T. Jones et al.   BIOINFORMATICS

Comprehensive large-scale assessment of intrinsic protein disorder

(2014) Ian Walsh et al.   BIOINFORMATICS

MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins

(2014) Emilio Potenza et al.   NUCLEIC ACIDS RESEARCH

The Role of Semidisorder in Temperature Adaptation of Bacterial FlgM Proteins

(2013) Jihua Wang et al.   BIOPHYSICAL JOURNAL

Mojo Hand, a TALEN design tool for genome editing applications

(2013) Kevin L Neff et al.   BMC BIOINFORMATICS

Intrinsically Semi-disordered State and Its Role in Induced Folding and Protein Aggregation

(2013) Tuo Zhang et al.   CELL BIOCHEMISTRY AND BIOPHYSICS

Assessment of protein disorder region predictions in CASP10

(2013) Bohdan Monastyrskyy et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Deep architectures for protein contact map prediction

(2012) Pietro Di Lena et al.   BIOINFORMATICS

Predicting protein residue–residue contacts using deep networks and boosting

(2012) Jesse Eickholt et al.   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

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

A Unified Multitask Architecture for Predicting Local Protein Properties

(2012) Yanjun Qi et al.   PLoS One

ESpritz: accurate and fast prediction of protein disorder

(2011) Ian Walsh et al.   BIOINFORMATICS

CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs

(2011) Ian Walsh et al.   NUCLEIC ACIDS RESEARCH

Evaluation of disorder predictions in CASP9

(2011) Bohdan Monastyrskyy et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

PONDR-FIT: A meta-predictor of intrinsically disordered amino acids

(2010) Bin Xue et al.   BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS

Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources

(2010) Marcin J. Mizianty et al.   BIOINFORMATICS

Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset

(2010) Fernanda L Sirota et al.   BMC GENOMICS

Library of Disordered Patterns in 3D Protein Structures

(2010) Michail Yu. Lobanov et al.   PLoS Computational Biology

PreDisorder: ab initio sequence-based prediction of protein disordered regions

(2009) Xin Deng et al.   BMC BIOINFORMATICS

Improved Disorder Prediction by Combination of Orthogonal Approaches

(2009) Avner Schlessinger et al.   PLoS One

The Role of Intrinsically Unstructured Proteins in Neurodegenerative Diseases

(2009) Swasti Raychaudhuri et al.   PLoS One

Prediction of Protein Binding Regions in Disordered Proteins

(2009) Bálint Mészáros et al.   PLoS Computational Biology

Intrinsically Disordered Proteins in Human Diseases: Introducing the D2 Concept

(2008) Vladimir N. Uversky et al.   Annual Review of Biophysics

Prediction of disordered regions in proteins based on the meta approach

(2008) T. Ishida et al.   BIOINFORMATICS