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2023 Fiscal Year Annual Research Report

Unleashing the power of AI to create a novel treatment for hemophilia A

Research Project

Project/Area Number 22K06119
Research InstitutionNational Center for Child Health and Development

Principal Investigator

daSilvaLopes TiagoJose  国立研究開発法人国立成育医療研究センター, 細胞医療研究部, 専門職 (10903429)

Project Period (FY) 2022-04-01 – 2024-03-31
KeywordsHemophilia A / Artificial intelligence / Machine learning / Bioinformatics / Protein design
Outline of Annual Research Achievements

This project demonstrated the viability of using artificial intelligence to design therapeutic proteins for a rare disease. We used the latest methods to generate almost 200 candidate molecules, that are now undergoing in vitro testing by a collaborator at the Jichi Medical University Hospital. This number consists a dramatic reduction in the number of candidates that is traditionally tested in pre-clinical studies.
Importantly, we generated our therapeutic proteins using a technique called cell-free expression, which does not involve the use of any bacteria or mammalian cell lines; this further reduced the costs and labor involved in the process.
Overall, we are satisfied with the progress of this project, the conscious use of resources and the training of younger researchers.

  • Research Products

    (3 results)

All 2023

All Journal Article (2 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (1 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Full-scale network analysis reveals properties of the FV protein structure organization.2023

    • Author(s)
      Ferreira-Martins AJ, Castaldoni R, Alencar BM, Ferreira MV, Nogueira T, Rios RA, Lopes TJS.
    • Journal Title

      Sci Rep

      Volume: 13 Pages: 9546

    • DOI

      10.1038/s41598-023-36528-z

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A graph-based machine learning framework identifies critical properties of FVIII that lead to hemophilia A.2023

    • Author(s)
      Ferreira MV, Nogueira T, Rios RA, Lopes TJS.
    • Journal Title

      Front Bioinform

      Volume: 3 Pages: 1152039

    • DOI

      10.3389/fbinf.2023.1152039

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia2023

    • Author(s)
      Marcos V. Ferreira; Tiago J. S. Lopes; Ricardo A. Rios; Tatiane N. Rios
    • Organizer
      IJCNN 2023
    • Int'l Joint Research

URL: 

Published: 2024-12-25  

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