About: Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

scholarly article by Castrense Savojardo et al published 2011 in Lecture Notes in Computer Science

Attributes	Values
rdf:type	Item
description	artículu científicu (ast) wetenschappelijk artikel (nl) наукова стаття, опублікована у 2011 (uk) article scientifique publié en 2011 (fr) scholarly article by Castrense Savojardo et al published 2011 in Lecture Notes in Computer Science (en)
publication date	wds:Q57809260-9DC43A80-7F06-4349-B261-8705AA3B76B7
publication date	2011-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q57809260-644D944D-C633-4A0C-A823-005E8CEB0F41
language of work or name	English
cites work	wds:Q57809260-287D583A-9EA1-40CD-B73C-765022559780 wds:Q57809260-2AF6DEB7-88F2-465D-AEC7-66F9DD84E715 wds:Q57809260-4DEDB710-549F-466C-8CBB-327D85DE2C8E wds:Q57809260-5552AF48-0EE7-4146-9F93-8EA162FC8C66 wds:Q57809260-91B60320-73F0-4E87-978F-CC397508983D wds:Q57809260-92EDCEF6-1626-4627-9EDD-ADC265E47FE9 wds:Q57809260-A3A689C5-CE26-4DD0-8E39-08AE031457EB wds:Q57809260-C08F02FB-1C0C-4A6D-A277-2E3D70DAC77E wds:Q57809260-D2D6B40A-B74F-4D68-9C94-3EAA9D70EBFE wds:Q57809260-D8891AE6-3003-4A30-A800-07036CDAAB4F wds:Q57809260-E2066940-A6FA-4817-82CE-4958EBEFA6C0 wds:Q57809260-E7022C4D-17B7-4203-B41F-DCA7C4F1C660
cites work	Protein disulfide bond formation in prokaryotes Catalysis of disulfide bond formation and isomerization in the Escherichia coli periplasm A Limited Memory Algorithm for Bound Constrained Optimization Basic local alignment search tool Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications Escherichia coli alkaline phosphatase fails to acquire disulfide bonds when retained in the cytoplasm Predicting the disulfide bonding state of cysteines using protein descriptors Predicting the oxidation state of cysteines by multiple sequence alignment. Prediction of the disulfide-bonding state of cysteines in proteins based on dipeptide composition Prediction of the disulfide bonding state of cysteines in proteins with hidden neural networks Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences A simplified approach to disulfide connectivity prediction from protein sequences
author name string	wds:Q57809260-1C7A385F-73AB-41C4-BE7D-146AD834A7DB wds:Q57809260-D1BE8546-85A7-4FA3-B5E9-2FB2B18B9BC9
author name string	Pier Luigi Martelli Priyank Shukla
rdfs:label	Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (en) Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (nl)
skos:prefLabel	Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (en) Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (nl)
name	Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (en) Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (nl)
author	wds:Q57809260-0C62FA84-F543-4DBE-A4CA-35AE77106AEC wds:Q57809260-635482C8-0563-41D5-80EB-DBD708244580 wds:Q57809260-CCDE858C-3779-47E5-A484-6C774704B0C4 wds:Q57809260-E4768ACF-CC8E-439D-BB18-9AB986B704E3
author	Rita Casadio Piero Fariselli Pier Luigi Martelli Castrense Savojardo
title	wds:Q57809260-1CFE69CD-3F93-49A5-8A1D-BB4487D4D8F0
title	Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods (en)
page(s)	wds:Q57809260-B8E81D33-0493-4335-A90C-E5B34CE67E36
page(s)	98-111
instance of	wds:Q57809260-63F396A3-5C82-4D35-AE54-FA8FE13C709A
instance of	scholarly article
main subject	wds:Q57809260-D53BCB1E-A5A9-475E-A69D-42DBEB7F7F9F
main subject	machine learning
DBLP publication ID	wds:Q57809260-D46A4DCF-81ED-44E3-9908-C796ACF420A1
DBLP publication ID	https://dblp.org/rec/conf/cibb/SavojardoFMSC10
DBLP publication ID	conf/cibb/SavojardoFMSC10
published in	wds:Q57809260-EC1E6D87-1DB1-479F-A57A-841E34B4D997
published in	Lecture Notes in Computer Science
DOI	wds:Q57809260-9143E84D-048A-4616-A4CD-6DB5A010A58A
DOI	http://dx.doi.org/10.1007/978-3-642-21946-7_8
DOI	10.1007/978-3-642-21946-7_8
describes a project that uses	wds:Q57809260-1E127225-6121-43CB-8FF3-DF5662CEBAB6
describes a project that uses	machine learning
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57809260
is cites work of	The influence of the inactives subset generation on the performance of machine learning methods Thiol redox biochemistry: insights from computer simulations
is cites work of	wds:Q34657005-3D5202F5-3C1F-4AE2-B06D-A3871580F605 wds:Q33668848-026E51D1-1E5E-432E-8630-F4FB2C15CA70

Faceted Search & Find service v1.16.117 as of May 05 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of May 5 2024, on Linux (x86_64-centos_6-linux-gnu), Single-Server Edition (378 GB total memory, 196 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software