SPINE-D: accurate prediction of short and long disordered regions by a single neural-network based method
about
Order, Disorder, and Everything in BetweenAn Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental StudiesLoss of amino-terminal acetylation suppresses a prion phenotype by modulating global protein foldingDisPredict: A Predictor of Disordered Protein Using Optimized RBF KernelA critical evaluation of in silico methods for detection of membrane protein intrinsic disorderBacterial flagellar capping proteins adopt diverse oligomeric states.On the encoding of proteins for disordered regions prediction.DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions.Estimation of Position Specific Energy as a Feature of Protein Residues from Sequence Alone for Structural ClassificationregSNPs-splicing: a tool for prioritizing synonymous single-nucleotide substitution.The MULTICOM toolbox for protein structure predictionDDIG-in: discriminating between disease-associated and neutral non-frameshifting micro-indelsDomHR: accurately identifying domain boundaries in proteins using a hinge region strategy.The role of balanced training and testing data sets for binary classifiers in bioinformatics.Impact of human pathogenic micro-insertions and micro-deletions on post-transcriptional regulation.A comprehensive study of small non-frameshift insertions/deletions in proteins and prediction of their phenotypic effects by a machine learning method (KD4i).Towards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins.Feature-based multiple models improve classification of mutation-induced stability changes.MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteinsGenome-scale prediction of proteins with long intrinsically disordered regions.Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes RuleMembrane-enabled dimerization of the intrinsically disordered cytoplasmic domain of ADAM10.Testing whether metazoan tyrosine loss was driven by selection against promiscuous phosphorylation.MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation.Performance of protein disorder prediction programs on amino acid substitutions.Improving protein order-disorder classification using charge-hydropathy plotsMethionine sulfoxide reductases preferentially reduce unfolded oxidized proteins and protect cells from oxidative protein unfolding.KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins.Triallelic Population Genomics for Inferring Correlated Fitness Effects of Same Site Nonsynonymous Mutations.Misfolding of galactose 1-phosphate uridylyltransferase can result in type I galactosemia.Natural protein sequences are more intrinsically disordered than random sequencesIntrinsically semi-disordered state and its role in induced folding and protein aggregationEnergy functions in de novo protein design: current challenges and future prospects.The role of semidisorder in temperature adaptation of bacterial FlgM proteins.Positive Selection Linked with Generation of Novel Mammalian Dentition Patterns.Computational assessment of feature combinations for pathogenic variant prediction.Structural disorder and its role in proteasomal degradation.Comparing NMR and X-ray protein structure: Lindemann-like parameters and NMR disorder.
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P2860
SPINE-D: accurate prediction of short and long disordered regions by a single neural-network based method
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
SPINE-D: accurate prediction o ...... le neural-network based method
@ast
SPINE-D: accurate prediction o ...... le neural-network based method
@en
SPINE-D: accurate prediction o ...... le neural-network based method
@nl
type
label
SPINE-D: accurate prediction o ...... le neural-network based method
@ast
SPINE-D: accurate prediction o ...... le neural-network based method
@en
SPINE-D: accurate prediction o ...... le neural-network based method
@nl
prefLabel
SPINE-D: accurate prediction o ...... le neural-network based method
@ast
SPINE-D: accurate prediction o ...... le neural-network based method
@en
SPINE-D: accurate prediction o ...... le neural-network based method
@nl
P2093
P2860
P3181
P1476
SPINE-D: accurate prediction o ...... le neural-network based method
@en
P2093
A Keith Dunker
Eshel Faraggi
P2860
P304
P3181
P356
10.1080/073911012010525022
P407
P577
2012-01-01T00:00:00Z