About: POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix

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About: POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix Goto Sponge NotDistinct Permalink

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scientific article published on 28 June 2007

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в червні 2007 (uk) im Juni 2007 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 28 June 2007 (en) artículu científicu espublizáu en xunu de 2007 (ast)
publication date	wds:Q80545079-8BDC738A-D12E-49D3-A0F5-723E45412C0D
publication date	2007-06-28 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q80545079-5CAE2EF7-7947-4E63-AE47-A8DA9AE29BAD
language of work or name	English
author name string	wds:Q80545079-0FC9A6C1-259C-47DD-9581-CE8CF0392241 wds:Q80545079-2FDD79CB-86EC-4D69-8B97-076C299B4A01 wds:Q80545079-7411BA68-3157-45F9-AA90-4EE1192274EF
author name string	Kana Shimizu Shuichi Hirose Tamotsu Noguchi
rdfs:label	POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (en) POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (nl)
skos:prefLabel	POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (en) POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (nl)
name	POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (en) POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (nl)
title	wds:Q80545079-B07689BC-F3B8-41F7-8EE3-0FDE84D702DB
title	POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix (en)
page(s)	wds:Q80545079-D9918CBE-98F0-478A-8053-262611BF00CA
page(s)	2337-2338
instance of	wds:Q80545079-9224BBA2-312F-4915-84EA-432C3A192AF5
instance of	scholarly article
main subject	wds:Q80545079-705AB9BA-BCC3-436E-A9BE-2EC8546DA603
main subject	web application
PubMed ID	wds:Q80545079-8D397189-91FC-4CBD-AFB1-25639E9E0037
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/17599940
PubMed ID	17599940
DBLP publication ID	wds:Q80545079-CAD150E3-BDAD-4292-A9F0-CB95CC50ED59
DBLP publication ID	https://dblp.org/rec/journals/bioinformatics/ShimizuHN07
DBLP publication ID	journals/bioinformatics/ShimizuHN07
published in	wds:Q80545079-0E9D6801-3E74-4487-9806-C3CA13777AA6
published in	Bioinformatics
issue	wds:Q80545079-6B9D67BD-3549-4E02-B374-B265A91FF60C
volume	wds:Q80545079-F9554442-10AF-4B5A-9C22-7C294DB4D9CA
issue	17
volume	23
number of pages	wds:Q80545079-2A2A98F6-9F5A-4976-95F6-B736AB797C83
number of pages	2 (xsd:decimal)
DOI	wds:Q80545079-EB605334-DFCC-4F1A-80DD-92E3CEA5764B
DOI	http://dx.doi.org/10.1093/BIOINFORMATICS/BTM330
DOI	10.1093/BIOINFORMATICS/BTM330
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q80545079
is cites work of	Classification of mismatch repair gene missense variants with PON-MMR Intrinsic disorder explains diverse nuclear roles of chromatin remodeling proteins Understanding protein non-folding. PONDR-FIT: a meta-predictor of intrinsically disordered amino acids MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins Correlations between predicted protein disorder and post-translational modifications in plants DISOPRED3: precise disordered region predictions with annotated protein-binding activity The MULTICOM toolbox for protein structure prediction A missense mutation in DCDC2 causes human recessive deafness DFNB66, likely by interfering with sensory hair cell and supporting cell cilia length regulation A comprehensive overview of computational protein disorder prediction methods Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources SPINE-D: accurate prediction of short and long disordered regions by a single neural-network based method Evaluation of disorder predictions in CASP9 Pathogenic or not? And if so, then how? Studying the effects of missense mutations using bioinformatics methods. Development of an accurate classification system of proteins into structured and unstructured regions that uncovers novel structural domains: its application to human transcription factors Binary classification of protein molecules into intrinsically disordered and ordered segments Predicting intrinsic disorder in proteins: an overview Brain endothelial cells produce amyloid {beta} from amyloid precursor protein 770 and preferentially secrete the O-glycosylated form Large-scale prediction of long disordered regions in proteins using random forests Structures of TraI in solution Two potential therapeutic antibodies bind to a peptide segment of membrane-bound IgE in different conformations Prediction of heme binding residues from protein sequences with integrative sequence profiles Predicting disordered regions in proteins using the profiles of amino acid indices Bioinformatic analysis of pathogenic missense mutations of activin receptor like kinase 1 ectodomain Performance of protein disorder prediction programs on amino acid substitutions Meta-analytic approach to the accurate prediction of secreted virulence effectors in gram-negative bacteria Conformational plasticity of JRAB/MICAL-L2 provides "law and order" in collective cell migration Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation In Silico Analysis of Correlations between Protein Disorder and Post-Translational Modifications in Algae. On the encoding of proteins for disordered regions prediction. Quality and bias of protein disorder predictors An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions. Identification of Intrinsically Disordered Proteins and Regions by Length-Dependent Predictors Based on Conditional Random Fields Survey of Natural Language Processing Techniques in Bioinformatics. SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data Bivalent binding drives the formation of the Grb2-Gab1 signaling complex in a noncooperative manner Immunoglobulin Structure Exhibits Control over CDR Motion Human genomic diversity, viral genomics and proteomics, as exemplified by human papillomaviruses and H5N1 influenza viruses Multivalent binding and facilitated diffusion account for the formation of the Grb2-Sos1 signaling complex in a cooperative manner A Method for Systematic Assessment of Intrinsically Disordered Protein Regions by NMR. Cysteine-Rich Atrial Secretory Protein from the Snail Achatina achatina: Purification and Structural Characterization An Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014 Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins Prediction of protein motions from amino acid sequence and its application to protein-protein interaction Molecular evolution of dihydrouridine synthases Ligand-induced Ordering of the C-terminal Tail Primes STING for Phosphorylation by TBK1 An optimized Npro-based method for the expression and purification of intrinsically disordered proteins for an NMR study Structural bases of GM1 gangliosidosis and Morquio B disease 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. DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach. In Silico Methods for the Discovery of Orthosteric GABA Receptor Compounds

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