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J Res Med Sci 2020,  25:70

Bioinformatics analysis of Wuhan novel coronavirus pathogen: A clue for finding antiviral drug against Wuhan novel coronavirus

1 26 Medical Center, Bangkok, Thailand
2 Department of Tropical Medicine, Hainan Medical University, Haikou, China; Department of Community Medicine, Dr DY Patil University, Pune, Maharashtra, India

Date of Submission03-Feb-2020
Date of Decision04-Mar-2020
Date of Acceptance11-Mar-2020
Date of Web Publication27-Jul-2020

Correspondence Address:
Dr. Rujittika Mungmunpuntipantip
26 Medical Center, Bangkok
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jrms.JRMS_109_20

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How to cite this article:
Mungmunpuntipantip R, Wiwanitkit V. Bioinformatics analysis of Wuhan novel coronavirus pathogen: A clue for finding antiviral drug against Wuhan novel coronavirus. J Res Med Sci 2020;25:70

How to cite this URL:
Mungmunpuntipantip R, Wiwanitkit V. Bioinformatics analysis of Wuhan novel coronavirus pathogen: A clue for finding antiviral drug against Wuhan novel coronavirus. J Res Med Sci [serial online] 2020 [cited 2021 Jul 28];25:70. Available from: https://www.jmsjournal.net/text.asp?2020/25/1/70/291011

Dear Editor,

Wuhan novel coronavirus infection is a newly emerging virus infection that becomes the global public health problem at present.[1] The disease firstly emerged in China, then widely spread, and also imported outside to other countries.[2] As novel coronavirus infection is a new disease, there is a limited knowledge on diagnosis and treatment. Searching for a therapeutic agent against the pathogen is important.[3] To find a new drug against the new pathogen, the standard advanced bioinformatics approach is useful. Here, the authors report the observation from using bioinformatics analysis of publicly available sequence of Wuhan novel coronavirus (NCBI Reference Sequence: NC_045512.2). The referencing tool namely PROSITE is used for the analysis of the sequence.[4] Briefly, PROSITE is the tool for functional prediction from annotation analysis of the protein sequence. The PROSITE is a computation bioinformatic tool which helps identify the patterns or profiles of meaningful signatures in the studied sequence and further gives useful biological information on the protein family and domain or functional site identified by the signature analysis.[4] Regarding computational signature analysis, domains and functional sites as well as associated patterns and profiles are firstly identified and then subfamily-specific profiling and profile building is done to finally identified functionally important residues.[4]

According to the analysis, the identified functional domains are peptidase, helicase, helicase, and carbamoyl-phosphate synthase. These functional domains might be the target for antiviral drug findings. Based on the study, drugs that have the possibility as antiviral drugs for the new Wuhan novel coronavirus infection are shown in [Table 1]. The identified possible drugs are lopinavir, ritonavir, and pritelivir. For the proposed possible mechanisms, lopinavir and ritonavir can act on peptidase, whereas pritelivir can act on helicase, which is useful for viral control and eradication of infection. Further studies to evaluate the actual effect of those derived drug candidates are recommended.
Table 1: Identified functional domains and possible antiviral drug for the management of Wuhan novel coronavirus infection

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Conflicts of interest

There are no conflicts of interest.

  References Top

Hsia W. Emerging new coronavirus infection in Wuhan, China: Situation in early 2020. Case Study Case Rep 2020;10:8-9.  Back to cited text no. 1
Yasri S, Wiwanitkit V. Editorial: Wuhan coronavirus outbreak and imported case. Adv Trop Med Public Health Int 2019;9:1-2.  Back to cited text no. 2
Lu H. Drug treatment options for the 2019-new coronavirus (2019-nCoV). Biosci Trends2020;14:69-71.  Back to cited text no. 3
Sigrist CJ, Cerutti L, de Castro E, Langendijk-Genevaux PS, Bulliard V, Bairoch A, et al. PROSITE, a protein domain database for functional characterization and annotation. Nucleic Acids Res 2010;38:D161-6.  Back to cited text no. 4


  [Table 1]


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