Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies

DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein levels

(2015) Lukas Folkman et al.   BIOINFORMATICS

IntFOLD: an integrated server for modelling protein structures and functions from amino acid sequences: Figure 1.

(2015) Liam J. McGuffin et al.   NUCLEIC ACIDS RESEARCH

Intrinsically Disordered Proteins and Intrinsically Disordered Protein Regions

(2014) Christopher J. Oldfield et al.   Annual Review of Biochemistry

Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life

(2014) Zhenling Peng et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Introducing Protein Intrinsic Disorder

(2014) Johnny Habchi et al.   CHEMICAL REVIEWS

Classification of Intrinsically Disordered Regions and Proteins

(2014) Robin van der Lee et al.   CHEMICAL REVIEWS

Performance of Protein Disorder Prediction Programs on Amino Acid Substitutions

(2014) Heidi Ali et al.   HUMAN MUTATION

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

(2014) Emilio Potenza et al.   NUCLEIC ACIDS RESEARCH

SIFT Indel: Predictions for the Functional Effects of Amino Acid Insertions/Deletions in Proteins

(2013) Jing Hu et al.   PLoS One

Assessment of protein disorder region predictions in CASP10

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

Intrinsic Disorder in PTEN and its Interactome Confers Structural Plasticity and Functional Versatility

(2013) Prerna Malaney et al.   Scientific Reports

A disorder-to-order structural transition in the COOH-tail of Fz4 determines misfolding of the L501fsX533-Fz4 mutant

(2013) Valentina Lemma et al.   Scientific Reports

A novel non-canonical mechanism of regulation of MST3 (mammalian Sterile20-related kinase 3)

(2012) Stephen J. Fuller et al.   BIOCHEMICAL JOURNAL

MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins

(2012) Lukasz P Kozlowski et al.   BMC 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

Disease-Associated Mutations Disrupt Functionally Important Regions of Intrinsic Protein Disorder

(2012) Vladimir Vacic et al.   PLoS Computational Biology

ESpritz: accurate and fast prediction of protein disorder

(2011) Ian Walsh et al.   BIOINFORMATICS

Sequence-based prediction of protein crystallization, purification and production propensity

(2011) Marcin J. Mizianty et al.   BIOINFORMATICS

Protein disorder—a breakthrough invention of evolution?

(2011) Avner Schlessinger et al.   CURRENT OPINION IN STRUCTURAL BIOLOGY

A comprehensive overview of computational protein disorder prediction methods

(2011) Xin Deng et al.   Molecular BioSystems

The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction

(2011) D. B. Roche et al.   NUCLEIC ACIDS RESEARCH

Evaluation of disorder predictions in CASP9

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

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

(2009) Xin Deng et al.   BMC BIOINFORMATICS

Structure and dynamics of the human muscle LIM protein

(2009) Thomas Schallus et al.   FEBS LETTERS

Assessment of disorder predictions in CASP8

(2009) Orly Noivirt-Brik et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Influence of Sequence Changes and Environment on Intrinsically Disordered Proteins

(2009) Amrita Mohan et al.   PLoS Computational Biology

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

(2008) Liam J. McGuffin   BIOINFORMATICS

Prediction of disordered regions in proteins based on the meta approach

(2008) T. Ishida et al.   BIOINFORMATICS