Background and Objective: Microalgae are autotrophic organisms abundantly occur in the aquatic environment. Microalgal biomass is used as an economical precursor for biodiesel feedstock and therapeutic bioactive constituents. The RuBisCO is a souvenir in photosynthetic organisms. However, the information about the biomedical application of RuBisCO and its peptides is insufficient. Therefore, this study aimed to evaluate the therapeutic potential of RuBisCO and its peptides through the computational tools. Materials and Methods: Fourteen RuBisCO large subunit sequences of algae were retrieved from UniProt and assessed in the BIOPEP server. The biological activity, catalyst action and calculation of bioactive peptides tools were accustomed to verify the frequency of incidenceof fragments, proteolytic cleavageand the incidence of elite enzymes with the specified action.The physiochemical para meters of the chosen sequences were performed with Protpram tool. Results: The outcome demonstrated Chaetoceros calcitrans exhibits the most effective prospect as a supply of DPP-IV inhibiting peptides, Chlorella pyrenoidosa for antihypertensive and Aphanizomenon flos-aquae for antioxidative, activating ubiquitin and anti-amnestic peptides. High range of bioactive peptides with biological activity in the RuBisCO sequences of Aphanizomenonflos-aquae, Dunaliellasalina, Chlorella pyrenoidosa and Chlorella vulgaris related to a high content of glycineandproline. Papain and proteinase K,a catalyst with wide specificity release significant active fragments than bromelain and chymotrypsin. The RuBisCO in selected microalgae showed potential for bioactive peptides linked with an elevated level of glycine and proline that are most rich in biologically active peptides. Conclusion: Further, experimental studies support the utilization of microalgae RuBisCO as a conventional economical source of bioactive peptides for a human.
CITATION STYLE
Selvaraj, G., Kaliamurthi, S., Cakmak, Z. E., & Cakmak, T. (2017). Research article RuBisCO of microalgae as potential targets for nutraceutical peptides: A computational study. Biotechnology, 16(4–6), 130–144. https://doi.org/10.3923/biotech.2017.130.144
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