Enhancing plant-based cheese formulation through molecular docking and dynamic simulation of tocopherol and retinol complexes with zein, soy and almond proteins via SVM-machine learning integration-Reference-Cited by-同舟云学术

Enhancing plant-based cheese formulation through molecular docking and dynamic simulation of tocopherol and retinol complexes with zein, soy and almond proteins via SVM-machine learning integration

Published:2024-09 Issue: Volume:452 Page:139520
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Yakoubi Sana

Funder

Japan International Cooperation Agency

Japan Science and Technology Agency

Enseignement Supérieur et de la Recherche Scientifique

Publisher

Elsevier BV

Reference59 articles.

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2. Improving supplier evaluation model using ensemble method-machine learning for food industry;Asrol;Procedia Computer Science,2023

3. Research advances of molecular docking and molecular dynamic simulation in recognizing interaction between muscle proteins and exogenous additives;Bai;Food Chemistry,2023

4. Advanced investigation of a putative adsorption process of nine non key food odorants (non-KFOs) on the broadly tuned human olfactory receptor OR2W1: Statistical physics modeling and molecular docking study;Ben Khemis;International Journal of Biological Macromolecules,2023

5. Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks;Bennett-Lenane;European Journal of Pharmaceutical Sciences,2022

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