Article

Structure-property machine learning models with predictive capabilities for glycans in food

2023-11-12

Abstract excerpt

<h4>ABSTRACT</h4> Structure-property predictive models for food aim to decipher the complex relation between the physical shape of a molecule and its physical properties and/or the functional role of the molecule in a product formulation. Our focus in this paper is the modeling of glycans (i.e., carbohydrates), which are not only abundant in food, but essential to both food production and, more importantly, human...

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Literature Corpus work: f674e7d7-41d7-5da0-a4a0-adbd61b71e35
DOI: 10.1101/2023.11.12.566488

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