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Exome-informed Protein Balancing (ePROB): for maximising efficiency of essential amino acid bioavailability in food

thesis
posted on 2023-08-23, 00:24 authored by TONG WU
Meeting dietary requirements for amino acids (AAs) is crucial for optimal health and growth. Previous research has shown the advantages of ‘exome matching’ in determining the ideal dietary AA profile from the in silico translation of an organism’s exome. However, purified AAs were used in previous studies. Here, we designed a computational method (ePROB) to formulate customised blends of food proteins to achieve exome matching at the food level. Using feeding experiments in mice, it was demonstrated that the ePROB-formulated blend with best exome-matching characteristics can better support body growth and facilitate the accretion of lean mass of animals under both ad libitum and dietary restriction scenarios.

History

Campus location

Australia

Principal supervisor

Louise Bennett

Additional supervisor 1

Matthew Piper

Year of Award

2023

Department, School or Centre

Chemistry

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Science

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