Integrating computational and experimental methods to identify novel sweet peptides from egg and soy proteins

HIGHLIGHTS

• What: The authors aimed to identify and validate sweet peptides derived from egg and soy proteins through an integrative approach combining virtual hydrolysis, machine_learning predictions, computational screening, and experimental validation.
• Who: Jinhao Su and collaborators from the School of Chemical Science and Engineering, Yunnan University, South Outer Ring Road, Chenggong District have published the paper: Integrating Computational and Experimental Methods to Identify Novel Sweet Peptides from Egg and Soy Proteins, in the Journal: (JOURNAL) of 11/05/2024
• How: Four deep learning methods were employed uary 2024) peptides with a predicted activity greater . . .
  

   

  

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