Computational Prediction of N6-methyladenosine (m6A) RNA Methylation in SARS-CoV-2 Viral Transcripts

Qingru Xu; Xiangyu Wu; Jia Meng

doi:10.1145/3469678.3469689

Computational Prediction of N⁶-methyladenosine (m⁶A) RNA Methylation in SARS-CoV-2 Viral Transcripts

Qingru Xu, Xiangyu Wu^*, Jia Meng

^*Corresponding author for this work

Department of Biosciences and Bioinformatics

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

SARS-CoV-2 caused atypical pneumonia (COVID-19) is an ongoing pandemic that seriously threat the global public health. Many people die from this disease with severe symptoms. The most prevalent m6A RNA modification may be involved in by assisting the virus escaping from the host cell immune system attack. We provided here the first computational prediction study of RNA methylation sites in SARS-CoV-2. Based on virus sequence information, we predict the potential virus m6A sites and hope to make anyhow contributions to this unprecedented situation. As a result, we found 27 most frequent m6A sequences (41 bp) in SARS-CoV-2, and two of them are quite near to the spike protein stop codon position.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021
Editors	Bin Chen
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450389297
DOIs	https://doi.org/10.1145/3469678.3469689
Publication status	Published - 20 Jul 2021
Event	5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021 - Hangzhou, China Duration: 20 Jul 2021 → 21 Jul 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021
Country/Territory	China
City	Hangzhou
Period	20/07/21 → 21/07/21

Keywords

N6-methyladenosine (m6A)
SARS-CoV-2
prediction

Access to Document

10.1145/3469678.3469689

Cite this

Xu, Q., Wu, X., & Meng, J. (2021). Computational Prediction of N⁶-methyladenosine (m⁶A) RNA Methylation in SARS-CoV-2 Viral Transcripts. In B. Chen (Ed.), Proceedings of the 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021 Article 3469689 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3469678.3469689

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abstract = "SARS-CoV-2 caused atypical pneumonia (COVID-19) is an ongoing pandemic that seriously threat the global public health. Many people die from this disease with severe symptoms. The most prevalent m6A RNA modification may be involved in by assisting the virus escaping from the host cell immune system attack. We provided here the first computational prediction study of RNA methylation sites in SARS-CoV-2. Based on virus sequence information, we predict the potential virus m6A sites and hope to make anyhow contributions to this unprecedented situation. As a result, we found 27 most frequent m6A sequences (41 bp) in SARS-CoV-2, and two of them are quite near to the spike protein stop codon position.",

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Xu, Q, Wu, X & Meng, J 2021, Computational Prediction of N⁶-methyladenosine (m⁶A) RNA Methylation in SARS-CoV-2 Viral Transcripts. in B Chen (ed.), Proceedings of the 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021., 3469689, ACM International Conference Proceeding Series, Association for Computing Machinery, 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021, Hangzhou, China, 20/07/21. https://doi.org/10.1145/3469678.3469689

Computational Prediction of N⁶-methyladenosine (m⁶A) RNA Methylation in SARS-CoV-2 Viral Transcripts. / Xu, Qingru; Wu, Xiangyu; Meng, Jia.
Proceedings of the 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021. ed. / Bin Chen. Association for Computing Machinery, 2021. 3469689 (ACM International Conference Proceeding Series).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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Xu Q, Wu X, Meng J. Computational Prediction of N⁶-methyladenosine (m⁶A) RNA Methylation in SARS-CoV-2 Viral Transcripts. In Chen B, editor, Proceedings of the 5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021. Association for Computing Machinery. 2021. 3469689. (ACM International Conference Proceeding Series). doi: 10.1145/3469678.3469689