A novel fingerprint map for detecting SARS-CoV.
Identifieur interne : 004008 ( Main/Exploration ); précédent : 004007; suivant : 004009A novel fingerprint map for detecting SARS-CoV.
Auteurs : Lei Gao [République populaire de Chine] ; Yong-Sheng Ding ; Hua Dai ; Shi-Huang Shao ; Zhen-De Huang ; Kuo-Chen ChouSource :
- Journal of pharmaceutical and biomedical analysis [ 0731-7085 ] ; 2006.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- geographic : China.
- diagnosis : Severe Acute Respiratory Syndrome.
- genetics : SARS Virus, Severe Acute Respiratory Syndrome.
- methods : Chemistry Techniques, Analytical, Sequence Analysis, DNA.
- Algorithms, Animals, Genetic Techniques, Humans, Mice, Models, Theoretical, Rats.
Abstract
Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of S protein of SARS-CoV and its receptor are conducted thru a mathematical transformation and graphic approach. As an outcome, a novel method for visualizing the characteristic of SARS-CoV is suggested. An extensive comparison among a large number of genome sequences has proved that the characteristic thus revealed is unique for SARS-CoV. As such, the characteristic can be regarded as the fingerprint map of SARS-CoV for diagnostic usage. Moreover, the conclusion has been further supported in a real case in Guangdong province of China. The fingerprint map proposed here has the merits of clear visibility and reliability that can serve as a complementary clinical tool for detecting SARS-CoV, particularly for the cases where the results obtained by the conventional methods are uncertain or conflicted with each other.
DOI: 10.1016/j.jpba.2005.09.031
PubMed: 16289934
Affiliations:
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Le document en format XML
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Analytical</term><term>Sequence Analysis, DNA</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Animals</term><term>Genetic Techniques</term><term>Humans</term><term>Mice</term><term>Models, Theoretical</term><term>Rats</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Analyse de séquence d'ADN</term><term>Animaux</term><term>Chine</term><term>Humains</term><term>Modèles théoriques</term><term>Rats</term><term>Souris</term><term>Techniques de chimie analytique</term><term>Techniques génétiques</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of S protein of SARS-CoV and its receptor are conducted thru a mathematical transformation and graphic approach. As an outcome, a novel method for visualizing the characteristic of SARS-CoV is suggested. An extensive comparison among a large number of genome sequences has proved that the characteristic thus revealed is unique for SARS-CoV. As such, the characteristic can be regarded as the fingerprint map of SARS-CoV for diagnostic usage. Moreover, the conclusion has been further supported in a real case in Guangdong province of China. 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