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Covalent binding of food-derived blue pigment phycocyanobilin to bovine β-lactoglobulin under physiological conditions

Overview of attention for article published in Food Chemistry, June 2018
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Title
Covalent binding of food-derived blue pigment phycocyanobilin to bovine β-lactoglobulin under physiological conditions
Published in
Food Chemistry, June 2018
DOI 10.1016/j.foodchem.2018.06.138
Pubmed ID
Authors

Simeon Minic, Mirjana Radomirovic, Nina Savkovic, Milica Radibratovic, Jelena Mihailovic, Tamara Vasovic, Milan Nikolic, Milos Milcic, Dragana Stanic-Vucinic, Tanja Cirkovic Velickovic

Abstract

In this study, we investigated structural aspects of covalent binding of food derived blue pigment phycocyanobilin (PCB) to bovine β-lactoglobulin (BLG), major whey protein, by spectroscopic, electrophoretic, mass spectrometry and computational methods. At physiological pH (7.2), we found that covalent pigment binding via free cysteine residue is slow (ka = 0.065 min-1), of moderate affinity (Ka = 4 × 104 M-1), and stereo-selective. Binding also occurs at a broad pH range and under simulated gastrointestinal conditions. Adduct formation rises with pH, and in concentrated urea (ka = 0.101 min-1). The BLG-PCB adduct has slightly altered secondary and tertiary protein structure, and bound PCB has higher fluorescence and more stretched conformation than free chromophore. Combination of steered molecular dynamic for disulfide exchange, non-covalent and covalent docking, favours Cys119 residue in protein calyx as target for covalent BLG-PCB adduct formation. Our results suggest that this adduct can serve as delivery system of bioactive PCB.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 5 16%
Student > Bachelor 3 9%
Professor > Associate Professor 2 6%
Student > Master 1 3%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 22%
Chemistry 3 9%
Engineering 2 6%
Agricultural and Biological Sciences 2 6%
Chemical Engineering 1 3%
Other 2 6%
Unknown 15 47%