SrasV1, PascalFrancis, Checkpoint, bibRecord, 000500

Bioinformatics research on the SARS coronavirus (SARS_CoV) in China : SARS-CoV: A scénario of modern drug design

Identifieur interne : 000500 ( PascalFrancis/Checkpoint ); précédent : 000499; suivant : 000501

Bioinformatics research on the SARS coronavirus (SARS_CoV) in China : SARS-CoV: A scénario of modern drug design

Auteurs : PEI HAO [République populaire de Chine] ; MIN CHEN [République populaire de Chine] ; GUOQING ZHANG [République populaire de Chine] ; WEIZHONG HE [République populaire de Chine] ; YIXUE LI [République populaire de Chine]

Source :

Current pharmaceutical design [ 1381-6128 ] ; 2006.

RBID : Pascal:07-0053592

Descripteurs français

Pascal (Inist)
- Bioinformatique, Recherche, Coronavirus, Syndrome respiratoire aigu sévère, Chine, Relation structure activité, Génomique, Génome, Evolution moléculaire, Transmission, Modèle, Article synthèse.
Wicri :
- topic : Recherche.

English descriptors

KwdEn :
- Bioinformatics, China, Coronavirus, Genome, Genomics, Models, Molecular evolution, Research, Review, Severe acute respiratory syndrome, Structure activity relation, Transmission.

Abstract

Severe acute respiratory syndrome (SARS) first appeared in 2002 in China, which fastly affected about 8000 patients over 29 countries and caused 774 fatalities. As its pathogen was identified as a new kind of coronavirus (SARS_CoV), its genome was quickly sequenced on several isolates. Studies on its functional genomics were performed by combinatorial application of all the available bioinformatics tools and the development of new programs. In this way, it was found that the four proteins were absolutely responsible for nosogenesis of SARS, i.e. spike (S) protein; small envelop (E) protein; membrane (M) protein; and nucleocaspid (N) protein. Molecular evolution studies have revealed that SARS must be originated from wild animals, and it was demonstrated that the major genetic variations in some critical genes, particularly the Spike gene, was essential for the transition from animal-to-human transmission to human-to-human transmission. Theoretical models, either Logistic model or SIR model, were developed to describe the transmission of SARS. The recorded difference of SARS spreading in Beijing and Hong Kong was also reasonably analyzed according to these models. The whole process of fruitful bioinformatics studies, along with other related scientific investigations have set up an unprecedented paradigm for human of how to battle against sudden-breaking and catastrophic epidemics.

Affiliations:

République populaire de Chine

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Severe acute respiratory syndrome (SARS) first appeared in 2002 in China, which fastly affected about 8000 patients over 29 countries and caused 774 fatalities. As its pathogen was identified as a new kind of coronavirus (SARS_CoV), its genome was quickly sequenced on several isolates. Studies on its functional genomics were performed by combinatorial application of all the available bioinformatics tools and the development of new programs. In this way, it was found that the four proteins were absolutely responsible for nosogenesis of SARS, i.e. spike (S) protein; small envelop (E) protein; membrane (M) protein; and nucleocaspid (N) protein. Molecular evolution studies have revealed that SARS must be originated from wild animals, and it was demonstrated that the major genetic variations in some critical genes, particularly the Spike gene, was essential for the transition from animal-to-human transmission to human-to-human transmission. Theoretical models, either Logistic model or SIR model, were developed to describe the transmission of SARS. The recorded difference of SARS spreading in Beijing and Hong Kong was also reasonably analyzed according to these models. The whole process of fruitful bioinformatics studies, along with other related scientific investigations have set up an unprecedented paradigm for human of how to battle against sudden-breaking and catastrophic epidemics.</div>
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<fC03 i1="11" i2="X" l="ENG"><s0>Models</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Modelo</s0>
<s5>11</s5>
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<fC03 i1="12" i2="X" l="FRE"><s0>Article synthèse</s0>
<s5>12</s5>
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<s5>12</s5>
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<fC03 i1="12" i2="X" l="SPA"><s0>Artículo síntesis</s0>
<s5>12</s5>
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<fC07 i1="01" i2="X" l="FRE"><s0>Coronaviridae</s0>
<s2>NW</s2>
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<fC07 i1="01" i2="X" l="ENG"><s0>Coronaviridae</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Coronaviridae</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Nidovirales</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Nidovirales</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Nidovirales</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Virus</s0>
<s2>NW</s2>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Virose</s0>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Viral disease</s0>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Virosis</s0>
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<fC07 i1="05" i2="X" l="FRE"><s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Infección</s0>
</fC07>
<fC07 i1="06" i2="X" l="FRE"><s0>Asie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="06" i2="X" l="ENG"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="06" i2="X" l="SPA"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="07" i2="X" l="FRE"><s0>Appareil respiratoire pathologie</s0>
<s5>37</s5>
</fC07>
<fC07 i1="07" i2="X" l="ENG"><s0>Respiratory disease</s0>
<s5>37</s5>
</fC07>
<fC07 i1="07" i2="X" l="SPA"><s0>Aparato respiratorio patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="08" i2="X" l="FRE"><s0>Poumon pathologie</s0>
<s5>38</s5>
</fC07>
<fC07 i1="08" i2="X" l="ENG"><s0>Lung disease</s0>
<s5>38</s5>
</fC07>
<fC07 i1="08" i2="X" l="SPA"><s0>Pulmón patología</s0>
<s5>38</s5>
</fC07>
<fN21><s1>036</s1>
</fN21>
</pA>
</standard>
</inist>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Pei Hao" sort="Pei Hao" uniqKey="Pei Hao" last="Pei Hao">PEI HAO</name>
</noRegion>
<name sortKey="Guoqing Zhang" sort="Guoqing Zhang" uniqKey="Guoqing Zhang" last="Guoqing Zhang">GUOQING ZHANG</name>
<name sortKey="Guoqing Zhang" sort="Guoqing Zhang" uniqKey="Guoqing Zhang" last="Guoqing Zhang">GUOQING ZHANG</name>
<name sortKey="Min Chen" sort="Min Chen" uniqKey="Min Chen" last="Min Chen">MIN CHEN</name>
<name sortKey="Pei Hao" sort="Pei Hao" uniqKey="Pei Hao" last="Pei Hao">PEI HAO</name>
<name sortKey="Weizhong He" sort="Weizhong He" uniqKey="Weizhong He" last="Weizhong He">WEIZHONG HE</name>
<name sortKey="Yixue Li" sort="Yixue Li" uniqKey="Yixue Li" last="Yixue Li">YIXUE LI</name>
<name sortKey="Yixue Li" sort="Yixue Li" uniqKey="Yixue Li" last="Yixue Li">YIXUE LI</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   Bioinformatics research on the SARS coronavirus (SARS_CoV) in China : SARS-CoV: A scénario of modern drug design
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Bioinformatics research on the SARS coronavirus (SARS_CoV) in China : SARS-CoV: A scénario of modern drug design

Bioinformatics research on the SARS coronavirus (SARS_CoV) in China : SARS-CoV: A scénario of modern drug design

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