Protein disorder prediction by condensed PSSM considering propensity for order or disorder
about
MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteinsImproved sequence-based prediction of disordered regions with multilayer fusion of multiple information sourcesAn Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014DisPredict: A Predictor of Disordered Protein Using Optimized RBF KernelPrediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairsProtein disorder prediction at multiple levels of sensitivity and specificitySurvey of Natural Language Processing Techniques in Bioinformatics.PreDisorder: ab initio sequence-based prediction of protein disordered regions.Understanding protein non-folding.A comprehensive overview of computational protein disorder prediction methodsNatively unstructured loops differ from other loops.Real value prediction of protein solvent accessibility using enhanced PSSM featuresLarge-scale prediction of long disordered regions in proteins using random forestsIntrinsic disorder in protein interactions: insights from a comprehensive structural analysisDisordered patterns in clustered Protein Data Bank and in eukaryotic and bacterial proteomes3PFDB--a database of best representative PSSM profiles (BRPs) of protein families generated using a novel data mining approachLibrary of disordered patterns in 3D protein structures.Incorporating distant sequence features and radial basis function networks to identify ubiquitin conjugation sites.In-silico prediction of disorder content using hybrid sequence representation.Occurrence of disordered patterns and homorepeats in eukaryotic and bacterial proteomes.Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins.ETMB-RBF: discrimination of metal-binding sites in electron transporters based on RBF networks with PSSM profiles and significant amino acid pairs.Brain expressed and X-linked (Bex) proteins are intrinsically disordered proteins (IDPs) and form new signaling hubs.iPDA: integrated protein disorder analyzer.Prediction of heme binding residues from protein sequences with integrative sequence profilesIncorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.A careful disorderliness in the proteome: sites for interaction and targets for future therapies.The mysterious unfoldome: structureless, underappreciated, yet vital part of any given proteome.Predicting intrinsic disorder in proteins: an overview.Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins.protr/ProtrWeb: R package and web server for generating various numerical representation schemes of protein sequences.MFDp2: Accurate predictor of disorder in proteins by fusion of disorder probabilities, content and profiles.MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.Recombination of strain O segments to HCpro-encoding sequence of strain N of Potato virus Y modulates necrosis induced in tobacco and in potatoes carrying resistance genes Ny or Nc.Optimization of linear disorder predictors yields tight association between crystallographic disorder and hydrophobicity.Predicting disordered regions in proteins using the profiles of amino acid indices.Identification of efflux proteins using efficient radial basis function networks with position-specific scoring matrices and biochemical properties.Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.Rcpi: R/Bioconductor package to generate various descriptors of proteins, compounds and their interactions.POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions.
P2860
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P2860
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Protein disorder prediction by ...... opensity for order or disorder
@ast
Protein disorder prediction by ...... opensity for order or disorder
@en
type
label
Protein disorder prediction by ...... opensity for order or disorder
@ast
Protein disorder prediction by ...... opensity for order or disorder
@en
prefLabel
Protein disorder prediction by ...... opensity for order or disorder
@ast
Protein disorder prediction by ...... opensity for order or disorder
@en
P2860
P356
P1433
P1476
Protein disorder prediction by ...... opensity for order or disorder
@en
P2093
Chung-Tsai Su
P2860
P2888
P356
10.1186/1471-2105-7-319
P577
2006-06-23T00:00:00Z
P5875
P6179
1006946473