Machine Learning for the Cleaner Production of Antioxidant Peptides

Volume: 27, Issue: 3, Pages: 2051 - 2056
Published: May 26, 2021
Abstract
Antioxidant peptides (AP) are promising functional foods that have the potential to provide multitude health benefits. They are found in a wide variety of sources, but current methods of discovery and extraction dramatically increases the cost of production which hampers the commercial competitiveness of APs. Focusing on the search and development of short AP sequences that can be easily synthesized through synthetic chemical methods may be able...
Paper Details
Title
Machine Learning for the Cleaner Production of Antioxidant Peptides
Published Date
May 26, 2021
Volume
27
Issue
3
Pages
2051 - 2056
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