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  5. Understanding and Controlling Food Protein Structure and Function in Foods: Perspectives from Experiments and Computer Simulations
 
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Understanding and Controlling Food Protein Structure and Function in Foods: Perspectives from Experiments and Computer Simulations

Author(s)
Silva, Fernando Luís Barroso da  
Carloni, Paolo  
Cheung, David  
Gulzar, Muhammad  
Jacquier, Jean Christophe  
Lobaskin, Vladimir  
MacKernan, Donal  
et al.  
Uri
http://hdl.handle.net/10197/11563
Date Issued
2020-01-17
Date Available
2020-09-15T11:03:05Z
Abstract
Molecular mechanisms play key roles at a fundamental and processing level, in innovative taste systems, functional and nutritional ingredients, and integrated solutions for the food, beverage and pharmaceutical markets. Incorporating a multiscale understanding of such mechanisms can provide greater insight into, and control of the relevant processes at play. Combining data from experiment, human panels and simulation through machine learning allows the construction of statistical models relating nano-scale properties to physiological outcomes and consumer tastes. This review will touch on several examples where advanced computer simulations at a molecular, meso- and multi-scale level can shed light into the mechanisms at play thereby facilitating their control. It includes a practical simulation toolbox for those new to in-silico modelling.
Sponsorship
European Commission
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Annual Reviews
Journal
Annual Review of Food Science and Technology
Volume
11
Issue
1
Start Page
365
End Page
387
Copyright (Published Version)
2020 Annual Reviews
Subjects

Molecular dynamics

Multiscale

Coarse graining

Rare-event methods

Constant pH simulatio...

QSAR

GPCR

Emulsions

Interface interaction...

Protein-sugar interac...

DOI
10.1146/annurev-food-032519-051640
Language
English
Status of Item
Peer reviewed
ISSN
1941-1413
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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CECAM review final-with-figs.pdf

Size

844.46 KB

Format

Adobe PDF

Checksum (MD5)

696471a6d7528fc652e64499008bdcf3

Owning collection
Physics Research Collection
Mapped collections
Agriculture and Food Science Research Collection•
Institute of Food and Health Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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