NaturaPredicta™: NLP-based Functional Scoring Method for Predicting the Bioactivity and Similarity of Botanical Ingredients-Reference-Cited by-同舟云学术

NaturaPredicta™: NLP-based Functional Scoring Method for Predicting the Bioactivity and Similarity of Botanical Ingredients

Published:2023 Issue:3 Volume:3 Page:
ISSN:2765-4362
Container-title:Food Supplements and Biomaterials for Health
language:en
Short-container-title:Food Suppl Biomater Health

Author:

Kim Sun Ho¹^ORCID,Choi Daeyoung²³^ORCID

Affiliation:

1. SEAH bio solution, Seoul, Korea.

2. Division of Future Convergence, The Cyber University of Korea, Seoul, Korea.

3. SAKAK, 21, Seoul, Korea.

Publisher

XMLink

Subject

General Medicine

Link

https://e-fsbh.org/pdf/10.52361/fsbh.2023.3.e17

Reference19 articles.

1. Codes of Health Functional Foods. Article 19. Health Functional Foods Act. Updated 2023. Accessed August 10, 2023. https://elaw.klri.re.kr/eng_service/lawView.do?hseq=34992&lang=ENG

2. Health Functional Food Information. Updated 2023. Accessed August 10, 2023. https://www.foodsafetykorea.go.kr/portal/board/boardDetail.do?menu_no=3811&bbs_no=bbs464&ntctxt_no=1070220

3. Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

4. Deep learning model for classification and bioactivity prediction of essential oil-producing plants from Egypt

5. A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds

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