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Combination of Biodata Mining and Computational Modelling in Identification and Characterization of ORF1ab Polyprotein of SARS-CoV-2 Isolated from Oronasopharynx of an Iranian Patient

Crossref DOI link: https://doi.org/10.1186/s12575-020-00121-9

Published Online: 2020-04-21

Published Print: 2020-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zolfaghari Emameh, Reza

Nosrati, Hassan

Taheri, Ramezan Ali
Funding

Funding for this research was provided by:

National Institute for Genetic Engineering and Biotechnology
License Information

Text and Data Mining valid from 2020-04-21

Version of Record valid from 2020-04-21
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Article History

Received: 16 March 2020

Accepted: 8 April 2020

First Online: 21 April 2020

Ethics Approval and Consent to Participate

: The data of the ORF1ab polyprotein of SARS-CoV-2 isolated from oronasopharynx of an Iranian patient was available online in the NCBI Virus database with the following accession numbers: MT152900 and QIH55230.

: All authors have read and approved the final version of the manuscript.

: The authors declare that they have no conflict of interests.

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