A computational approach for designing and validating small interfering RNA against SARS-CoV-2 variants
Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net..
AIMS: The aim of this study is to develop a novel antiviral strategy capable of efficiently targeting a broad set of SARS-CoV-2 variants.
BACKGROUND: Since the first emergence of SARS-CoV-2, it has rapidly transformed into a global pandemic, posing an unprecedented threat to public health. SARS-CoV-2 is prone to mutation and continues to evolve, leading to the emergence of new variants capable of escaping immune protection achieved due to previous SARS-CoV-2 infections or by vaccination.
OBJECTIVE: RNA interference (RNAi) is a remarkable biological mechanism that can induce gene silencing by targeting complementary mRNA and inhibiting its translation.
METHOD: In this study, using the computational approach, we predicted the most efficient siRNA capable of inhibiting SARS-CoV-2 variants of concern (VoCs).
RESULT: The presented siRNA was characterized and evaluated for its thermodynamic properties, offsite-target hits, and in silico validation by molecular docking and molecular dynamics simulations (MD) with Human AGO2 protein.
CONCLUSION: The study contributes to the possibility of designing and developing an effective response strategy against existing variants of concerns and preventing further.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
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| Enthalten in: |
Current computer-aided drug design - (2023) vom: 25. Aug. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dhotre, Kishore [VerfasserIn] |
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| Links: |
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| Themen: |
Bioinformatics |
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| Anmerkungen: |
Date Revised 25.08.2023 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.2174/1573409920666230825111406 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
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| 100 | 1 | |a Dhotre, Kishore |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A computational approach for designing and validating small interfering RNA against SARS-CoV-2 variants |
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| 500 | |a Date Revised 25.08.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net. | ||
| 520 | |a AIMS: The aim of this study is to develop a novel antiviral strategy capable of efficiently targeting a broad set of SARS-CoV-2 variants | ||
| 520 | |a BACKGROUND: Since the first emergence of SARS-CoV-2, it has rapidly transformed into a global pandemic, posing an unprecedented threat to public health. SARS-CoV-2 is prone to mutation and continues to evolve, leading to the emergence of new variants capable of escaping immune protection achieved due to previous SARS-CoV-2 infections or by vaccination | ||
| 520 | |a OBJECTIVE: RNA interference (RNAi) is a remarkable biological mechanism that can induce gene silencing by targeting complementary mRNA and inhibiting its translation | ||
| 520 | |a METHOD: In this study, using the computational approach, we predicted the most efficient siRNA capable of inhibiting SARS-CoV-2 variants of concern (VoCs) | ||
| 520 | |a RESULT: The presented siRNA was characterized and evaluated for its thermodynamic properties, offsite-target hits, and in silico validation by molecular docking and molecular dynamics simulations (MD) with Human AGO2 protein | ||
| 520 | |a CONCLUSION: The study contributes to the possibility of designing and developing an effective response strategy against existing variants of concerns and preventing further | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Infectious disease | |
| 650 | 4 | |a RNA interference | |
| 650 | 4 | |a SARS-CoV-2 | |
| 650 | 4 | |a Variants of Concern | |
| 650 | 4 | |a siRNA | |
| 700 | 1 | |a Dass, Debashree |e verfasserin |4 aut | |
| 700 | 1 | |a Banerjee, Anwesha |e verfasserin |4 aut | |
| 700 | 1 | |a Nema, Vijay |e verfasserin |4 aut | |
| 700 | 1 | |a Mukherjee, Anupam |e verfasserin |4 aut | |
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