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SMRI: A New Method for siRNA Design for COVID-19 Therapy
First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spread globally and became a pandemic with no vaccine and limited distinctive clinical drugs available till March 13th, 2020. Ribonucleic Acid interference (RNAi) technology, a gene-silencing technol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374573/ https://www.ncbi.nlm.nih.gov/pubmed/35992496 http://dx.doi.org/10.1007/s11390-021-0826-x |
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author | Chen, Meng-Xin Zhu, Xiao-Dong Zhang, Hao Liu, Zhen Liu, Yuan-Ning |
author_facet | Chen, Meng-Xin Zhu, Xiao-Dong Zhang, Hao Liu, Zhen Liu, Yuan-Ning |
author_sort | Chen, Meng-Xin |
collection | PubMed |
description | First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spread globally and became a pandemic with no vaccine and limited distinctive clinical drugs available till March 13th, 2020. Ribonucleic Acid interference (RNAi) technology, a gene-silencing technology that targets mRNA, can cause damage to RNA viruses effectively. Here, we report a new efficient small interfering RNA (siRNA) design method named Simple Multiple Rules Intelligent Method (SMRI) to propose a new solution of the treatment of COVID-19. To be specific, this study proposes a new model named Base Preference and Thermodynamic Characteristic model (BPTC model) indicating the siRNA silencing efficiency and a new index named siRNA Extended Rules index (SER index) based on the BPTC model to screen high-efficiency siRNAs and filter out the siRNAs that are difficult to take effect or synthesize as a part of the SMRI method, which is more robust and efficient than the traditional statistical indicators under the same circumstances. Besides, to silence the spike protein of SARS-CoV-2 to invade cells, this study further puts forward the SMRI method to search candidate high-efficiency siRNAs on SARS-CoV-2’s S gene. This study is one of the early studies applying RNAi therapy to the COVID-19 treatment. According to the analysis, the average value of predicted interference efficiency of the candidate siRNAs designed by the SMRI method is comparable to that of the mainstream siRNA design algorithms. Moreover, the SMRI method ensures that the designed siRNAs have more than three base mismatches with human genes, thus avoiding silencing normal human genes. This is not considered by other mainstream methods, thereby the five candidate high-efficiency siRNAs which are easy to take effect or synthesize and much safer for human body are obtained by our SMRI method, which provide a new safer, small dosage and long efficacy solution for the treatment of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11390-021-0826-x. |
format | Online Article Text |
id | pubmed-9374573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-93745732022-08-15 SMRI: A New Method for siRNA Design for COVID-19 Therapy Chen, Meng-Xin Zhu, Xiao-Dong Zhang, Hao Liu, Zhen Liu, Yuan-Ning J Comput Sci Technol Regular Paper First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spread globally and became a pandemic with no vaccine and limited distinctive clinical drugs available till March 13th, 2020. Ribonucleic Acid interference (RNAi) technology, a gene-silencing technology that targets mRNA, can cause damage to RNA viruses effectively. Here, we report a new efficient small interfering RNA (siRNA) design method named Simple Multiple Rules Intelligent Method (SMRI) to propose a new solution of the treatment of COVID-19. To be specific, this study proposes a new model named Base Preference and Thermodynamic Characteristic model (BPTC model) indicating the siRNA silencing efficiency and a new index named siRNA Extended Rules index (SER index) based on the BPTC model to screen high-efficiency siRNAs and filter out the siRNAs that are difficult to take effect or synthesize as a part of the SMRI method, which is more robust and efficient than the traditional statistical indicators under the same circumstances. Besides, to silence the spike protein of SARS-CoV-2 to invade cells, this study further puts forward the SMRI method to search candidate high-efficiency siRNAs on SARS-CoV-2’s S gene. This study is one of the early studies applying RNAi therapy to the COVID-19 treatment. According to the analysis, the average value of predicted interference efficiency of the candidate siRNAs designed by the SMRI method is comparable to that of the mainstream siRNA design algorithms. Moreover, the SMRI method ensures that the designed siRNAs have more than three base mismatches with human genes, thus avoiding silencing normal human genes. This is not considered by other mainstream methods, thereby the five candidate high-efficiency siRNAs which are easy to take effect or synthesize and much safer for human body are obtained by our SMRI method, which provide a new safer, small dosage and long efficacy solution for the treatment of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11390-021-0826-x. Springer Nature Singapore 2022-07-30 2022 /pmc/articles/PMC9374573/ /pubmed/35992496 http://dx.doi.org/10.1007/s11390-021-0826-x Text en © Institute of Computing Technology, Chinese Academy of Sciences 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Paper Chen, Meng-Xin Zhu, Xiao-Dong Zhang, Hao Liu, Zhen Liu, Yuan-Ning SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title | SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title_full | SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title_fullStr | SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title_full_unstemmed | SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title_short | SMRI: A New Method for siRNA Design for COVID-19 Therapy |
title_sort | smri: a new method for sirna design for covid-19 therapy |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374573/ https://www.ncbi.nlm.nih.gov/pubmed/35992496 http://dx.doi.org/10.1007/s11390-021-0826-x |
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