Predicting milk-derived hydrogel-forming peptides with TANGO

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dc.citation.volume153
dc.contributor.authorKhan MA
dc.contributor.authorHemar Y
dc.contributor.authorCheng K-W
dc.contributor.authorStadler FJ
dc.contributor.authorDe Leon-Rodriguez LM
dc.date.accessioned2024-08-04T23:58:12Z
dc.date.available2024-08-04T23:58:12Z
dc.date.issued2024-06
dc.description.abstractThe uncovering of single peptides derived from food sources that can form hydrogels is of great relevance for several applications. However, identifying single peptide hydrogels from food is a daunting task given the complex nature of the food systems. The proof of concept of the applicability of TANGO, a statistical mechanical-based algorithm that predicts the β-aggregate propensity of peptides, as a tool to uncover peptides derived from milk that can form hydrogels is reported. Using TANGO in conjunction with a set of defined criteria we discovered that from a group of thirteen peptides derived from milk proteins, seven formed hydrogels at a concentration of 2 wt% and pH 7 at room temperature. Three more peptides formed aggregates and appeared to go through the syneresis process, and three additional peptides remained liquid under the experimental conditions. This result sets the basis of a simple methodology for unveiling peptide hydrogels from food and other natural sources.
dc.description.confidentialfalse
dc.edition.editionJune 2024
dc.identifier.citationKhan MA, Hemar Y, Cheng KW, Stadler FJ, De Leon-Rodriguez LM. (2024). Predicting milk-derived hydrogel-forming peptides with TANGO. International Dairy Journal. 153.
dc.identifier.doi10.1016/j.idairyj.2024.105920
dc.identifier.eissn1879-0143
dc.identifier.elements-typejournal-article
dc.identifier.issn0958-6946
dc.identifier.number105920
dc.identifier.piiS0958694624000402
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71188
dc.languageEnglish
dc.publisherElsevier Ltd
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S0958694624000402
dc.relation.isPartOfInternational Dairy Journal
dc.rights(c) 2024 The Author/s
dc.rightsCC BY-NC 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titlePredicting milk-derived hydrogel-forming peptides with TANGO
dc.typeJournal article
pubs.elements-id487238
pubs.organisational-groupOther
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