Prediction of food materials for the management of respiratory symptoms targeting PDE4B and NMDAR via machine learning approach-Reference-Cited by-同舟云学术

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Prediction of food materials for the management of respiratory symptoms targeting PDE4B and NMDAR via machine learning approach

Published:2024-10 Issue: Volume:61 Page:104608
ISSN:2212-4292
Container-title:Food Bioscience
language:en
Short-container-title:Food Bioscience

Author:

Jung Jihyeon,Shin Seo Hyun,Kim Jong Hun^ORCID,Park Jung Han Yoon,Lee Ki Won

Publisher

Elsevier BV

Reference42 articles.

1. Health and nutritional benefits of nutmeg (Mystica fragrans houtt.);Agbogidi;Scientia Agriculturae,2013

2. Natural products in drug discovery: Advances and opportunities;Atanasov;Nature Reviews Drug Discovery,2021

3. NMDA receptor antagonists for treatment of depression;Ates-Alagoz;Pharmaceuticals,2013

4. Clinical and molecular genetics of the phosphodiesterases (PDEs);Azevedo;Endocrine Reviews,2014

5. The effects of ascorbic acid and flavonoids on the occurrence of symptoms normally associated with the common cold;Baird;American Journal of Clinical Nutrition,1979

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