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Structure Prediction and Analysis of Hepatitis E Virus Non-Structural Proteins from the Replication and Transcription Machinery by AlphaFold2.
Goulet, Adeline; Cambillau, Christian; Roussel, Alain; Imbert, Isabelle.
Afiliação
  • Goulet A; Aix-Marseille Université, Centre National de la Recherche Scientifique, UMR 7255, LISM, 31 Chemin Joseph Aiguier, 13009 Marseille, France.
  • Cambillau C; School of Microbiology, University College Cork, T12 YT20 Cork, Ireland.
  • Roussel A; AlphaGraphix, 24 Carrer d'Amont, 66210 Formiguères, France.
  • Imbert I; Aix-Marseille Université, Centre National de la Recherche Scientifique, UMR 7255, LISM, 31 Chemin Joseph Aiguier, 13009 Marseille, France.
Viruses ; 14(7)2022 07 14.
Article em En | MEDLINE | ID: mdl-35891516
ABSTRACT
Hepatitis E virus (HEV) is a major cause of acute viral hepatitis in humans globally. Considered for a long while a public health issue only in developing countries, the HEV infection is now a global public health concern. Most human infections are caused by the HEV genotypes 1, 2, 3 and 4 (HEV-1 to HEV-4). Although HEV-3 and HEV-4 can evolve to chronicity in immunocompromised patients, HEV-1 and HEV-2 lead to self-limited infections. HEV has a positive-sense single-stranded RNA genome of ~7.2 kb that is translated into a large pORF1 replicative polyprotein, essential for the viral RNA genome replication and transcription. Unfortunately, the composition and structure of these replicases are still unknown. The recent release of the powerful machine-learning protein structure prediction software AlphaFold2 (AF2) allows us to accurately predict the structure of proteins and their complexes. Here, we used AF2 with the replicase encoded by the polyprotein pORF1 of the human-infecting HEV-3. The boundaries and structures reveal five domains or nonstructural proteins (nsPs) the methyltransferase, Zn-binding domain, macro, helicase, and RNA-dependent RNA polymerase, reliably predicted. Their substrate-binding sites are similar to those observed experimentally for other related viral proteins. Precisely knowing enzyme boundaries and structures is highly valuable to recombinantly produce stable and active proteins and perform structural, functional and inhibition studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus da Hepatite E / Hepatite E Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Viruses Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus da Hepatite E / Hepatite E Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Viruses Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França
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