2026-04-14T08:31:07Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/6202025-10-22T11:04:18Zcom_2072_4428com_2072_4427col_2072_487898

Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target [version 1; peer review: awaiting peer review] Veljkovic, Veljko Serra Gironella, Joan Segalés, Joaquim Paessler, Slobodan Producció Animal Sanitat Animal 619 A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has expanded the number of highly pathogenic coronaviruses affecting humans. The 2019-nCoV represents a potential epidemic or pandemic threat, which requires a quick response for preparedness against this infection. The present report uses the informational spectrum methodology to identify the possible origin and natural host of the new virus, as well as putative therapeutic and vaccine targets. The performed in silico analysis indicates that the newly emerging 2019-nCoV is closely related to severe acute respiratory syndrome (SARS)-CoV and, to a lesser degree, Middle East respiratory syndrome (MERS)-CoV. Moreover, the well-known SARS-CoV receptor (ACE2) might be a putative receptor for the novel virus as well. Additional results indicated that civets and poultry are potential candidates for the natural reservoir of the 2019-nCoV, and that domain 288-330 of S1 protein from the 2019-nCoV represents promising therapeutic and/or vaccine target. info:eu-repo/semantics/publishedVersion 2020-01-27 info:eu-repo/semantics/article Veljkovic, Veljko, Júlia Vergara-Alert, Joaquim Segalés, and Slobodan Paessler. 2020. "Use Of The Informational Spectrum Methodology For Rapid Biological Analysis Of The Novel Coronavirus 2019-Ncov: Prediction Of Potential Receptor, Natural Reservoir, Tropism And Therapeutic/Vaccine Target". F1000research 9: 52. F1000 Research Ltd. doi:10.12688/f1000research.22149.1. 2046-1402 http://hdl.handle.net/20.500.12327/620 https://doi.org/10.12688/f1000research.22149.1 eng F1000Research Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess 7 F1000Research