Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines.
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 sourcesSPINE-D: accurate prediction of short and long disordered regions by a single neural-network based methodAn Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental StudiesIntrinsically Disordered Side of the Zika Virus ProteomeInterleukin-1-inducible MCPIP protein has structural and functional properties of RNase and participates in degradation of IL-1beta mRNADisPredict: A Predictor of Disordered Protein Using Optimized RBF KernelEvaluation of disorder predictions in CASP9Highly homologous proteins exert opposite biological activities by using different interaction interfacesOn the encoding of proteins for disordered regions prediction.Protein disorder prediction at multiple levels of sensitivity and specificityA novel approach for predicting disordered regions in a protein sequence.DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.PreDisorder: ab initio sequence-based prediction of protein disordered regions.Understanding protein non-folding.A comprehensive overview of computational protein disorder prediction methodsThe MULTICOM toolbox for protein structure predictionCardiomyopathy in patients with POMT1-related congenital and limb-girdle muscular dystrophy.Large-scale prediction of long disordered regions in proteins using random forestsA computational model of the LGI1 protein suggests a common binding site for ADAM proteins.In-silico prediction of disorder content using hybrid sequence representation.Bioinformatic analysis of pathogenic missense mutations of activin receptor like kinase 1 ectodomainStructure-function analysis of the filamentous actin binding domain of the neuronal scaffolding protein spinophilin.Theoretical considerations on the topological organization of receptor mosaicsThe dopamine D(4) receptor, the ultimate disordered protein.Performance of protein disorder prediction programs on amino acid substitutions.Intrinsic disorder and functional proteomics.iPDA: integrated protein disorder analyzer.The mysterious unfoldome: structureless, underappreciated, yet vital part of any given proteome.Predicting intrinsic disorder in proteins: an overview.The structurally disordered paramyxovirus nucleocapsid protein tail domain is a regulator of the mRNA transcription gradient.An omics perspective of protein disorder.Three consecutive arginines are important for the mycobacterial peptide deformylase enzyme activityMFDp2: Accurate predictor of disorder in proteins by fusion of disorder probabilities, content and profiles.Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.Folding factors and partners for the intrinsically disordered protein micro-exon gene 14 (MEG-14)Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets.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.
P2860
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P2860
Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines.
description
2006 nî lūn-bûn
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2006 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2006年の論文
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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
Spritz: a server for the predi ...... quences using kernel machines.
@ast
Spritz: a server for the predi ...... quences using kernel machines.
@en
type
label
Spritz: a server for the predi ...... quences using kernel machines.
@ast
Spritz: a server for the predi ...... quences using kernel machines.
@en
prefLabel
Spritz: a server for the predi ...... quences using kernel machines.
@ast
Spritz: a server for the predi ...... quences using kernel machines.
@en
P2860
P356
P1476
Spritz: a server for the predi ...... quences using kernel machines.
@en
P2093
Gianluca Pollastri
Silvio C E Tosatto
P2860
P304
P356
10.1093/NAR/GKL166
P407
P433
Web Server issue
P577
2006-07-01T00:00:00Z