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@article{ART002970005},
author={Hyunseung Kong and Inyoung Kim},
title={Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={6},
pages={23-30},
doi={10.9708/jksci.2023.28.06.023}

TY - JOUR
AU - Hyunseung Kong
AU - Inyoung Kim
TI - Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 6
PB - The Korean Society Of Computer And Information
SP - 23
EP - 30
SN - 1598-849X
AB - 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.
KW - Cultured meat;artificial intelligence;natural products;bioinformatics;drug discovery
DO - 10.9708/jksci.2023.28.06.023
ER -

Hyunseung Kong and Inyoung Kim. (2023). Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production. Journal of The Korea Society of Computer and Information, 28(6), 23-30.

Hyunseung Kong and Inyoung Kim. 2023, "Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production", Journal of The Korea Society of Computer and Information, vol.28, no.6 pp.23-30. Available from: doi:10.9708/jksci.2023.28.06.023

Hyunseung Kong, Inyoung Kim "Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production" Journal of The Korea Society of Computer and Information 28.6 pp.23-30 (2023) : 23.

Hyunseung Kong, Inyoung Kim. Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production. 2023; 28(6), 23-30. Available from: doi:10.9708/jksci.2023.28.06.023

Hyunseung Kong and Inyoung Kim. "Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production" Journal of The Korea Society of Computer and Information 28, no.6 (2023) : 23-30.doi: 10.9708/jksci.2023.28.06.023

Hyunseung Kong; Inyoung Kim. Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production. Journal of The Korea Society of Computer and Information, 28(6), 23-30. doi: 10.9708/jksci.2023.28.06.023

Hyunseung Kong; Inyoung Kim. Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production. Journal of The Korea Society of Computer and Information. 2023; 28(6) 23-30. doi: 10.9708/jksci.2023.28.06.023

Hyunseung Kong, Inyoung Kim. Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production. 2023; 28(6), 23-30. Available from: doi:10.9708/jksci.2023.28.06.023

Hyunseung Kong and Inyoung Kim. "Expanding AI-Driven Drug Discovery: Virtual Screening of Natural Compounds for Enhanced Cultured Meat Production" Journal of The Korea Society of Computer and Information 28, no.6 (2023) : 23-30.doi: 10.9708/jksci.2023.28.06.023