About: Investigation of C-terminal domain of SARS nucleocapsid protein–Duplex DNA interaction using transistors and binding-site models

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About: Investigation of C-terminal domain of SARS nucleocapsid protein–Duplex DNA interaction using transistors and binding-site models Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Investigation of C-terminal domain of SARS nucleocapsid protein–Duplex DNA interaction using transistors and binding-site models
Creator	Ren, Fan Chen, Chih-Chen Chyi, Jen-Inn Fang, Jung-Ying Hsu, Chen-Pin Hsu, Chia-Hsien Hsu, You-Ren Huang, Chih-Cheng Huang, Yu-Fen Kang, Yen-Wen Lee, Geng-Yen Li, Sheng-Shian Sun, Yuh-Chang Wang, Yu-Lin Yao, Da-Jeng Chang, Chung-Ke Huang, Tai-Huang Yeh, J
source	Elsevier; Medline; PMC
abstract	Abstract AlGaN/GaN high electron mobility transistors (HEMTs) were used to sense the binding between double stranded DNA (dsDNA) and the severe acute respiratory syndrome coronavirus (SARS-CoV) nucleocapsid protein (N protein). The sensing signals were the drain current change of the HEMTs induced by the protein–dsDNA binding. Binding-site models using surface coverage ratios were utilized to analyze the signals from the HEMT-based sensors to extract the dissociation constants and predict the number of binding sites. Two dissociation constants, K D1 =0.0955nM, K D2 =51.23nM, were obtained by fitting the experimental results into the two-binding-site model. The result shows that this technique is more competitive than isotope-labeling electrophoretic mobility shift assay (EMSA). We demonstrated that AlGaN/GaN HEMTs were highly potential in constructing a semiconductor-based-sensor binding assay to extract the dissociation constants of nucleotide–protein interaction.
has issue date	2014-03-31(xsd:dateTime)
bibo:doi	10.1016/j.snb.2013.11.087
bibo:pmid	32288246
has license	els-covid
sha1sum (hex)	105d57cfb6190d7c7ee922e952f7d9591e72078b
schema:url	https://doi.org/10.1016/j.snb.2013.11.087
resource representing a document's title	Investigation of C-terminal domain of SARS nucleocapsid protein–Duplex DNA interaction using transistors and binding-site models
has PubMed Central identifier	PMC7126644
has PubMed identifier	32288246
schema:publication	Sensors and Actuators B: Chemical
resource representing a document's body	covid:105d57cfb6190d7c7ee922e952f7d9591e72078b#body_text
is schema:about of	named entity 'demonstrated' named entity 'potential' named entity 'constructing' named entity 'interaction' named entity 'C-terminal domain' named entity 'INVESTIGATION' named entity 'POTENTIAL' named entity 'USED' named entity 'USING' named entity 'MOBILITY' named entity 'COMPETITIVE' named entity 'BINDING-SITE' named entity 'ISOTOPE' named entity 'SIGNALS' named entity 'THE DRAIN' named entity 'PROTEIN' named entity 'BASED' named entity 'TECHNIQUE' named entity 'PROTEIN INTERACTION' named entity 'BINDING ASSAY' named entity 'NUCLEOCAPSID PROTEIN' named entity 'ELECTRON' named entity 'BINDING' named entity 'NUCLEOTIDE' named entity 'PREDICT' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS' named entity 'TRANSISTORS' named entity 'USING' named entity 'TO SENSE' named entity 'DNA' named entity 'INTERACTION' named entity 'OBTAINED BY' named entity 'DUPLEX' named entity 'BIOGRAPHIES' named entity 'SARS' named entity 'EXPERIMENTAL RESULTS' named entity 'HEMT' named entity 'DEMONSTRATED' named entity 'MODEL' named entity 'TRANSISTORS' named entity 'INDUCED' named entity 'COVERAGE' named entity 'THE SIGNALS' named entity 'FITTING' named entity 'RATIOS' named entity 'SENSOR' named entity 'CURRENT' named entity 'BINDING-SITE' named entity 'ALGAN' named entity 'PROTEIN ' named entity 'LABELING' named entity 'C-TERMINAL' named entity 'TO EXTRACT' named entity 'RESULT' named entity 'HIGH' named entity 'SURFACE' named entity 'CONSTANTS' named entity 'MODELS' named entity 'DISSOCIATION' named entity 'SENSORS' named entity 'ELECTROPHORETIC MOBILITY SHIFT ASSAY ' named entity 'DOUBLE STRANDED DNA' named entity 'CHANGE' named entity 'SENSING'

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