Published in BMC Bioinformatics on December 13, 2009
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Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus. J Biomol Struct Dyn (2013) 0.99
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Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments. BMC Bioinformatics (2008) 0.97
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A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome. Cell Mol Life Sci (2013) 0.95
Sequence-based prediction of protein crystallization, purification and production propensity. Bioinformatics (2011) 0.95
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More than just tails: intrinsic disorder in histone proteins. Mol Biosyst (2012) 0.90
Determination of protein folding kinetic types using sequence and predicted secondary structure and solvent accessibility. Amino Acids (2010) 0.87
In-silico prediction of disorder content using hybrid sequence representation. BMC Bioinformatics (2011) 0.87
Identification of tubulin drug binding sites and prediction of relative differences in binding affinities to tubulin isotypes using digital signal processing. J Mol Graph Model (2008) 0.86
A critical comparative assessment of predictions of protein-binding sites for biologically relevant organic compounds. Structure (2011) 0.86
ATPsite: sequence-based prediction of ATP-binding residues. Proteome Sci (2011) 0.86
Disordered proteinaceous machines. Chem Rev (2014) 0.86
Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility. Curr Protein Pept Sci (2010) 0.86
Meta prediction of protein crystallization propensity. Biochem Biophys Res Commun (2009) 0.85
On the complementarity of the consensus-based disorder prediction. Pac Symp Biocomput (2012) 0.85
Genome-scale prediction of proteins with long intrinsically disordered regions. Proteins (2013) 0.84
The intrinsic disorder status of the human hepatitis C virus proteome. Mol Biosyst (2014) 0.83
Investigation of atomic level patterns in protein--small ligand interactions. PLoS One (2009) 0.83
Prediction of protein folding rates from primary sequences using hybrid sequence representation. J Comput Chem (2009) 0.83
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Finding protein targets for small biologically relevant ligands across fold space using inverse ligand binding predictions. Structure (2012) 0.81
A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues. Brief Bioinform (2015) 0.81
HuMiTar: a sequence-based method for prediction of human microRNA targets. Algorithms Mol Biol (2008) 0.80
Accurate prediction of protein folding rates from sequence and sequence-derived residue flexibility and solvent accessibility. Proteins (2010) 0.80
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Computational prediction of B cell epitopes from antigen sequences. Methods Mol Biol (2014) 0.80
Prediction and characterization of cyclic proteins from sequences in three domains of life. Biochim Biophys Acta (2013) 0.80
A new synaptic plasticity rule for networks of spiking neurons. IEEE Trans Neural Netw (2006) 0.79
Prediction of intrinsic disorder in proteins using MFDp2. Methods Mol Biol (2014) 0.79
Improved identification of outer membrane beta barrel proteins using primary sequence, predicted secondary structure, and evolutionary information. Proteins (2011) 0.77
Monocytes from patients with osteoarthritis display increased osteoclastogenesis and bone resorption: the In Vitro Osteoclast Differentiation in Arthritis study. Arthritis Rheum (2013) 0.77
Comprehensively designed consensus of standalone secondary structure predictors improves Q3 by over 3%. J Biomol Struct Dyn (2013) 0.77
Sequence-based Gaussian network model for protein dynamics. Bioinformatics (2013) 0.77
Untapped Potential of Disordered Proteins in Current Druggable Human Proteome. Curr Drug Targets (2016) 0.76
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Improved machine learning method for analysis of gas phase chemistry of peptides. BMC Bioinformatics (2008) 0.75
Improved prediction of residue flexibility by embedding optimized amino acid grouping into RSA-based linear models. Amino Acids (2014) 0.75
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Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Brief Bioinform (2017) 0.75
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Correction to disordered proteinaceous machines. Chem Rev (2015) 0.75