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Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(6), pp.23-30
  • DOI : 10.9708/jksci.2023.28.06.023
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 2, 2023
  • Accepted : June 21, 2023
  • Published : June 30, 2023

Hyunseung Kong 1 Inyoung Kim 2

1서울대학교
2서울대학교AI연구원

Accredited

ABSTRACT

In this study, we propose a methodology for deriving natural additives that expedite cultured meat production through a combination of bioinformatics and artificial intelligence-based approaches in drug development. Leveraging a bioinformatics approach, we identify differentially expressed genes that are genetically associated with muscle and adipose tissue growth in breast cancer cells. Subsequently, employing an artificial intelligence-based drug development approach, we construct a model for predicting protein and compound interactions, and conduct virtual screenings of two natural product databases (COCONUT and the Korean Traditional Medicine Database). This enables us to identify 22 candidates of natural compounds that bind to proteins responsible for inhibiting muscle and adipose tissue growth.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.