論文

責任著者 国際誌
2022年8月25日

Biomolecular Fluorescence Complementation Profiling and Artificial Intelligence Structure Prediction of the Kaposi's Sarcoma-Associated Herpesvirus ORF18 and ORF30 Interaction.

International journal of molecular sciences
  • Yoshiko Maeda
  • ,
  • Tadashi Watanabe
  • ,
  • Taisuke Izumi
  • ,
  • Kazushi Kuriyama
  • ,
  • Shinji Ohno
  • ,
  • Masahiro Fujimuro

23
17
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/ijms23179647

Kaposi's sarcoma-associated herpesvirus (KSHV) is the etiologic agent of Kaposi's sarcoma, primary effusion lymphoma (PEL), and multicentric Castleman's disease. During KSHV lytic infection, lytic-related genes, categorized as immediate-early, early, and late genes, are expressed in a temporal manner. The transcription of late genes requires the virus-specific pre-initiation complex (vPIC), which consists of viral transcription factors. However, the protein-protein interactions of the vPIC factors have not been completely elucidated. KSHV ORF18 is one of the vPIC factors, and its interaction with other viral proteins has not been sufficiently revealed. In order to clarify these issues, we analyzed the interaction between ORF18 and another vPIC factor, ORF30, in living cells using the bimolecular fluorescence complementation (BiFC) assay. We identified four amino-acid residues (Leu29, Glu36, His41, and Trp170) of ORF18 that were responsible for its interaction with ORF30. Pull-down assays also showed that these four residues were required for the ORF18-ORF30 interaction. The artificial intelligence (AI) system AlphaFold2 predicted that the identified four residues are localized on the surface of ORF18 and are in proximity to each other. Thus, our AI-predicted model supports the importance of the four residues for binding ORF18 to ORF30. These results indicated that wet experiments in combination with AI may enhance the structural characterization of vPIC protein-protein interactions.

リンク情報
DOI
https://doi.org/10.3390/ijms23179647
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/36077046
ID情報
  • DOI : 10.3390/ijms23179647
  • PubMed ID : 36077046

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