About: Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome

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About: Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In the next generation sequencing era we are encountering hundreds of thousands of sequences from specific organisms. Such massive data must be accurately classified both functionally and structurally. Determining appropriate sequences with a specific function from next generation sequencing, however, is a daunting experimental task. A recent salivary gland transcriptome from the hard tick Ixodes ricinus, a European disease vector, has been made publicly available. Among the protein families sequenced by the salivary gland transcriptome of I. ricinus, the Kunitz-domain is one of the highly represented protein families. Thus far, recent tick transciptomes solely classify (computationally) Kunitz sequences as putative serine protease inhibitors. We present here a novel method using a machine-learning algorithm to %22fish%22 for candidate ion-channel effectors and loss of serine protease inhibitor function within the Kunitzdomain protein family of the I. ricinus salivary gland transcriptome. The models, data and scripts used in this work are available online from http://life.bsc.es/pid/webiimoal/kunitz-classification.html. In the next generation sequencing era we are encountering hundreds of thousands of sequences from specific organisms. Such massive data must be accurately classified both functionally and structurally. Determining appropriate sequences with a specific function from next generation sequencing, however, is a daunting experimental task. A recent salivary gland transcriptome from the hard tick Ixodes ricinus, a European disease vector, has been made publicly available. Among the protein families sequenced by the salivary gland transcriptome of I. ricinus, the Kunitz-domain is one of the highly represented protein families. Thus far, recent tick transciptomes solely classify (computationally) Kunitz sequences as putative serine protease inhibitors. We present here a novel method using a machine-learning algorithm to %22fish%22 for candidate ion-channel effectors and loss of serine protease inhibitor function within the Kunitzdomain protein family of the I. ricinus salivary gland transcriptome. The models, data and scripts used in this work are available online from http://life.bsc.es/pid/webiimoal/kunitz-classification.html. (en)
Title	Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome (en)
skos:prefLabel	Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome (en)
skos:notation	RIV/60077344:_____/14:00435202!RIV15-AV0-60077344
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(EE2.3.30.0032)
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Valdés, James J.
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Biologické centrum AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	38753
http://linked.open...ai/riv/idVysledku	RIV/60077344:_____/14:00435202
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Tick Transcriptome Kunitz; Function prediction; Machine learning (en)
http://linked.open.../riv/klicoveSlovo	Machine learning Function prediction Tick Transcriptome Kunitz
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[8337E4B089B6]
http://linked.open...i/riv/nazevZdroje	Ticks and Tick-borne Diseases
http://linked.open...in/vavai/riv/obor	EB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Promotion of post-doctoral positions in the Biology Centre of the Czech Academy of Sciences aimed to build the global competitiveness of the research teams in the Czech Republic
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	5
http://linked.open...iv/tvurceVysledku	Valdés, James J. Moal, I. H.
http://linked.open...ain/vavai/riv/wos	000343385100052
issn	1877-959X
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.ttbdis.2014.07.016

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