4.7 Article

Sensory-Guided Isolation, Identification, and Active Site Calculation of Novel Umami Peptides from Ethanol Precipitation Fractions of Fermented Grain Wine (Huangjiu)

Journal

FOODS
Volume 12, Issue 18, Pages -

Publisher

MDPI
DOI: 10.3390/foods12183398

Keywords

huangjiu; umami peptide; molecular docking; peptidomics; density functional theory

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This study analyzed the umami peptides in huangjiu using various methods and techniques. A total of 4158 peptides were identified through peptidomics, and six novel umami peptides and five umami-enhancing peptides were filtered. Computational approaches were used to investigate the structure-activity relationship, and key residues and active sites were found to potentially influence taste differences in the identified peptides.
Huangjiu is rich in low-molecular-weight peptides and has an umami taste. In order for its umami peptides to be discovered, huangjiu was subjected to ultrafiltration, ethanol precipitation, and macroporous resin purification processes. The target fractions were gathered according to sensory evaluation. Subsequently, we used peptidomics to identify the sum of 4158 peptides in most umami fractions. Finally, six novel umami peptides (DTYNPR, TYNPR, SYNPR, RFRQGD, NFHHGD, and FHHGD) and five umami-enhancing peptides (TYNPR, SYNPR, NFHHGD, FHHGD, and TVDGPSH) were filtered via virtual screening, molecular docking, and sensory verification. Moreover, the structure-activity relationship was discussed using computational approaches. Docking analysis showed that all umami peptides tend to bind with T1R1 through hydrogen bonds and hydrophobic forces, which involve key residues HIS71, ASP147, ARG151, TYR220, SER276, and ALA302. The active site calculation revealed that the positions of the key umami residues D and R in the terminal may cause taste differences in identified peptides.

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