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    Evaluation of in silico approach for prediction of presence of opioid peptides in wheat This is the Accepted version of the following publication Garg, Swati, Apostolopoulos, Vasso, Nurgali, Kulmira and Mishra, Vijay Kumar (2018) Evaluation of in silico approach for prediction of presence of opioid peptides in wheat. Journal of Functional Foods, 41. 34 - 40. ISSN 1756-4646 The publisher’s official version can be found at https://www.sciencedirect.com/science/article/pii/S1756464617307454 Note that access to this version may require subscription. Downloaded from VU Research Repository https://vuir.vu.edu.au/36577/ 1 1 Evaluation of in silico approach for prediction of presence of opioid peptides in wheat 2 gluten 3 Abstract 4 Opioid like morphine and codeine are used for the management of pain, but are associated 5 with serious side-effects limiting their use. Wheat gluten proteins were assessed for the 6 presence of opioid peptides on the basis of tyrosine and proline within their sequence. Eleven 7 peptides were identified and occurrence of predicted sequences or their structural motifs were 8 analysed using BIOPEP database and ranked using PeptideRanker. Based on higher peptide 9 ranking, three sequences YPG, YYPG and YIPP were selected for determination of opioid 10 activity by cAMP assay against µ and κ opioid receptors. Three peptides inhibited the 11 production of cAMP to varied degree with EC50 values of YPG, YYPG and YIPP were 5.3 12 mM, 1.5 mM and 2.9 mM for µ-opioid receptor, and 1.9 mM, 1.2 mM and 3.2 mM for κ- 13 opioid receptor, respectively.
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  • 2019-2020 Award Recipients
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