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      Coronavirus genome: prediction of putative functional domains in the non-structural polyprotein by comparative amino acid sequence analysis.

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      Nucleic Acids Research

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          Abstract

          Amino acid sequences of 2 giant non-structural polyproteins (F1 and F2) of infectious bronchitis virus (IBV), a member of Coronaviridae, were compared, by computer-assisted methods, to sequences of a number of other positive strand RNA viral and cellular proteins. By this approach, juxtaposed putative RNA-dependent RNA polymerase, nucleic acid binding ("finger"-like) and RNA helicase domains were identified in F2. Together, these domains might constitute the core of the protein complex involved in the primer-dependent transcription, replication and recombination of coronaviruses. In F1, two cysteine protease-like domains and a growth factor-like one were revealed. One of the putative proteases of IBV is similar to 3C proteases of picornaviruses and related enzymes of como- nepo- and potyviruses. Search of IBV F1 and F2 sequences for sites similar to those cleaved by the latter proteases and intercomparison of the surrounding sequence stretches revealed 13 dipeptides Q/S(G) which are probably cleaved by the coronavirus 3C-like protease. Based on these observations, a partial tentative scheme for the functional organization and expression strategy of the non-structural polyproteins of IBV was proposed. It implies that, despite the general similarity to other positive strand RNA viruses, and particularly to potyviruses, coronaviruses possess a number of unique structural and functional features.

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          Author and article information

          Journal
          Nucleic Acids Res
          Nucleic Acids Research
          0305-1048
          1362-4962
          26 June 1989
          : 17
          : 12
          : 4847-4861
          Affiliations
          Institute of Poliomyelitis and Viral Encephalitides, USSR Academy of Medical Sciences, Moscow.
          Article
          10.1093/nar/17.12.4847
          318036
          2526320
          a3f81b6d-d7e9-4b33-8acb-c7cb11401cf5
          History
          Categories
          Research Article

          Genetics
          Genetics

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