Design of Potential RNAi (miRNA and siRNA) Molecules for Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Gene Silencing by Computational Method
Identifieur interne : 001838 ( Main/Exploration ); précédent : 001837; suivant : 001839Design of Potential RNAi (miRNA and siRNA) Molecules for Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Gene Silencing by Computational Method
Auteurs : Suza Mohammad Nur [Bangladesh] ; Md. Anayet Hasan [Bangladesh] ; Mohammad Al Amin [Bangladesh] ; Mehjabeen Hossain [Bangladesh] ; Tahmina Sharmin [Bangladesh]Source :
- Interdisciplinary Sciences, Computational Life Sciences [ 1913-2751 ] ; 2015.
Descripteurs français
- KwdFr :
- Algorithmes, Biologie informatique (), Composition en bases nucléiques, Conformation d'acide nucléique, Coronavirus du syndrome respiratoire du Moyen-Orient (génétique), Extinction de l'expression des gènes, Petit ARN interférent (génétique), Petit ARN interférent (métabolisme), Séquence nucléotidique, Thermodynamique, microARN (génétique), microARN (métabolisme).
- MESH :
- génétique : Coronavirus du syndrome respiratoire du Moyen-Orient, Petit ARN interférent, microARN.
- métabolisme : Petit ARN interférent, microARN.
- Algorithmes, Biologie informatique, Composition en bases nucléiques, Conformation d'acide nucléique, Extinction de l'expression des gènes, Séquence nucléotidique, Thermodynamique.
English descriptors
- KwdEn :
- Algorithms, Base Composition, Base Sequence, Computational Biology (methods), Gene Silencing, MicroRNAs (genetics), MicroRNAs (metabolism), Middle East Respiratory Syndrome Coronavirus (genetics), Nucleic Acid Conformation, RNA, Small Interfering (genetics), RNA, Small Interfering (metabolism), Thermodynamics.
- MESH :
- chemical , genetics : MicroRNAs, RNA, Small Interfering.
- chemical , metabolism : MicroRNAs, RNA, Small Interfering.
- genetics : Middle East Respiratory Syndrome Coronavirus.
- methods : Computational Biology.
- Algorithms, Base Composition, Base Sequence, Gene Silencing, Nucleic Acid Conformation, Thermodynamics.
Abstract
The Middle East respiratory syndrome coronavirus (MERS-CoV) is a virus that manifests itself in viral infection with fever, cough, shortness of breath, renal failure and severe acute pneumonia, which often result in a fatal outcome. MERS-CoV has been shown to spread between people who are in close contact. Transmission from infected patients to healthcare personnel has also been observed and is irredeemable with present technology. Genetic studies on MERS-CoV have shown that ORF1ab encodes replicase polyproteins and play a foremost role in viral infection. Therefore, ORF1ab replicase polyprotein may be used as a suitable target for disease control. Viral activity can be controlled by RNA interference (RNAi) technology, a leading method for post transcriptional gene silencing in a sequence-specific manner. However, there is a genetic inconsistency in different viral isolates; it is a great challenge to design potential RNAi (miRNA and siRNA) molecules which can silence the respective target genes rather than any other viral gene simultaneously. In the current study, four effective miRNA and five siRNA molecules for silencing of nine different strains of MERS-CoV were rationally designed and corroborated using computational methods, which might lead to knockdown the activity of virus. siRNA and miRNA molecules were predicted against ORF1ab gene of different strains of MERS-CoV as effective candidate using computational methods. Thus, this method may provide an insight for the chemical synthesis of antiviral RNA molecule for the treatment of MERS-CoV, at genomic level.
Url:
DOI: 10.1007/s12539-015-0266-9
PubMed: 26223545
PubMed Central: 7090891
Affiliations:
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Le document en format XML
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type="chemical" qualifier="genetics" xml:lang="en"><term>MicroRNAs</term><term>RNA, Small Interfering</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>MicroRNAs</term><term>RNA, Small Interfering</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Petit ARN interférent</term><term>microARN</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Petit ARN interférent</term><term>microARN</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Base Composition</term><term>Base Sequence</term><term>Gene Silencing</term><term>Nucleic Acid Conformation</term><term>Thermodynamics</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Biologie informatique</term><term>Composition en bases nucléiques</term><term>Conformation d'acide nucléique</term><term>Extinction de l'expression des gènes</term><term>Séquence nucléotidique</term><term>Thermodynamique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The Middle East respiratory syndrome coronavirus (MERS-CoV) is a virus that manifests itself in viral infection with fever, cough, shortness of breath, renal failure and severe acute pneumonia, which often result in a fatal outcome. MERS-CoV has been shown to spread between people who are in close contact. Transmission from infected patients to healthcare personnel has also been observed and is irredeemable with present technology. Genetic studies on MERS-CoV have shown that ORF1ab encodes replicase polyproteins and play a foremost role in viral infection. Therefore, ORF1ab replicase polyprotein may be used as a suitable target for disease control. Viral activity can be controlled by RNA interference (RNAi) technology, a leading method for post transcriptional gene silencing in a sequence-specific manner. However, there is a genetic inconsistency in different viral isolates; it is a great challenge to design potential RNAi (miRNA and siRNA) molecules which can silence the respective target genes rather than any other viral gene simultaneously. In the current study, four effective miRNA and five siRNA molecules for silencing of nine different strains of MERS-CoV were rationally designed and corroborated using computational methods, which might lead to knockdown the activity of virus. siRNA and miRNA molecules were predicted against ORF1ab gene of different strains of MERS-CoV as effective candidate using computational methods. Thus, this method may provide an insight for the chemical synthesis of antiviral RNA molecule for the treatment of MERS-CoV, at genomic level.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Orbalenya, Ae" uniqKey="Orbalenya A">AE Orbalenya</name></author><author><name sortKey="Enjuanes, L" uniqKey="Enjuanes L">L Enjuanes</name></author><author><name sortKey="Ziebuhr, J" uniqKey="Ziebuhr J">J Ziebuhr</name></author><author><name sortKey="Snijder, Ej" uniqKey="Snijder E">EJ Snijder</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wertheim, Jo" uniqKey="Wertheim J">JO Wertheim</name></author><author><name sortKey="Chu, Dk" uniqKey="Chu D">DK Chu</name></author><author><name sortKey="Peiris, Js" uniqKey="Peiris J">JS Peiris</name></author><author><name sortKey="Kosakovsky Pond, Sl" uniqKey="Kosakovsky Pond S">SL Kosakovsky Pond</name></author><author><name sortKey="Poon, Ll" uniqKey="Poon L">LL 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Bryan</name></author><author><name sortKey="Terrile, M" uniqKey="Terrile M">M Terrile</name></author><author><name sortKey="Bray, Im" uniqKey="Bray I">IM Bray</name></author><author><name sortKey="Domingo Fernandez, R" uniqKey="Domingo Fernandez R">R Domingo-Fernandéz</name></author><author><name sortKey="Watters, Km" uniqKey="Watters K">KM Watters</name></author><author><name sortKey="Koster, J" uniqKey="Koster J">J Koster</name></author><author><name sortKey="Versteeg, R" uniqKey="Versteeg R">R Versteeg</name></author><author><name sortKey="Stallings, Rl" uniqKey="Stallings R">RL Stallings</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Stahlhut, C" uniqKey="Stahlhut C">C Stahlhut</name></author><author><name sortKey="Slack, Fj" uniqKey="Slack F">FJ Slack</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Harada, M" uniqKey="Harada M">M Harada</name></author><author><name sortKey="Luo, X" uniqKey="Luo X">X Luo</name></author><author><name sortKey="Murohara, T" uniqKey="Murohara T">T Murohara</name></author><author><name sortKey="Yang, B" uniqKey="Yang B">B Yang</name></author><author><name sortKey="Dobrev, D" uniqKey="Dobrev D">D Dobrev</name></author><author><name sortKey="Nattel, S" uniqKey="Nattel S">S Nattel</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Bangladesh</li></country></list><tree><country name="Bangladesh"><noRegion><name sortKey="Nur, Suza Mohammad" sort="Nur, Suza Mohammad" uniqKey="Nur S" first="Suza Mohammad" last="Nur">Suza Mohammad Nur</name></noRegion><name sortKey="Amin, Mohammad Al" sort="Amin, Mohammad Al" uniqKey="Amin M" first="Mohammad Al" last="Amin">Mohammad Al Amin</name><name sortKey="Hasan, Md Anayet" sort="Hasan, Md Anayet" uniqKey="Hasan M" first="Md. Anayet" last="Hasan">Md. Anayet Hasan</name><name sortKey="Hossain, Mehjabeen" sort="Hossain, Mehjabeen" uniqKey="Hossain M" first="Mehjabeen" last="Hossain">Mehjabeen Hossain</name><name sortKey="Sharmin, Tahmina" sort="Sharmin, Tahmina" uniqKey="Sharmin T" first="Tahmina" last="Sharmin">Tahmina Sharmin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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