T
Thushan S. Withana-Gamage
Researcher at Agriculture and Agri-Food Canada
Publications - 8
Citations - 323
Thushan S. Withana-Gamage is an academic researcher from Agriculture and Agri-Food Canada. The author has contributed to research in topics: Solubility & Homology modeling. The author has an hindex of 6, co-authored 8 publications receiving 217 citations. Previous affiliations of Thushan S. Withana-Gamage include University of Saskatchewan.
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Journal ArticleDOI
Physicochemical, thermal and functional characterisation of protein isolates from Kabuli and Desi chickpea (Cicer arietinum L.): a comparative study with soy (Glycine max) and pea (Pisum sativum L.).
TL;DR: CPIs may be suitable as a high-quality substitute for SPI in food applications because of their emulsifying properties, which are better than those of PPI.
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Canola/rapeseed protein-functionality and nutrition
Janitha P.D. Wanasundara,Tara C. McIntosh,Suneru P. Perera,Thushan S. Withana-Gamage,Pranabendu Mitra,Pranabendu Mitra +5 more
TL;DR: The storage proteins of canola can satisfy many nutritional and functional requirements for food applications and provide functionalities required in applications beyond edible uses; there exists substantial potential as a source of plant protein and a renewable biopolymer.
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Characterization of Arabidopsis thaliana lines with altered seed storage protein profiles using synchrotron-powered FT-IR spectromicroscopy.
Thushan S. Withana-Gamage,Dwayne D. Hegedus,Dwayne D. Hegedus,Xiao Qiu,Peiqiang Yu,Tim May,Derek J. Lydiate,Janitha P.D. Wanasundara,Janitha P.D. Wanasundara +8 more
TL;DR: Lines entirely devoid of cruciferin had high α-helix and low β-sheet levels, indicating that structurally different proteins compensate for the loss of crucifixiferin.
Journal ArticleDOI
In silico homology modeling to predict functional properties of cruciferin.
TL;DR: This approach of functional property prediction will link protein structure to utilities and will be valuable in designing proteins for targeted applications.
Journal ArticleDOI
Molecular modelling for investigating structure–function relationships of soy glycinin
Thushan S. Withana-Gamage,Thushan S. Withana-Gamage,Janitha P.D. Wanasundara,Janitha P.D. Wanasundara +3 more
TL;DR: Use of bioinformatics for data mining and molecular modelling in revealing structure–function relations is discussed using soybean glycinin as a model protein, and in silico approach is complementary to the process of understanding food protein molecule structure, and linking molecule physico-chemical properties with the functionalities that protein provides in food.