Deep Learning-Driven Optimization of Antihypertensive Properties from Whey Protein Hydrolysates: A Multienzyme Approach.
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DOI: 10.1021/acs.jafc.4c10830
Abstract: This study utilized deep learning to optimize antihypertensive peptides from whey protein hydrolysate. Using the Large Language Models (LLMs), we identified an optimal multienzyme combination (MC5) with an ACE inhibition rate of 89.08% at a… read more here.
Keywords: deep learning; driven optimization; optimization antihypertensive; whey protein ... See more keywords