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Evaluation of oilseed proteins as precursors of antimicrobial peptides using bioinformatics method

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Abstract

In this study, the potential of oilseed proteins from soybean, peanut, sesame, sunflower seed and flaxseed as antimicrobial peptide (AMP) precursors was assessed using the bioinformatics method. Thirty-four novel potential AMPs were obtained by in silico hydrolysis of 12 oilseed protein sequences, and 11 of them were positive in all four algorithm tests in CAMPR3. Among the six proteases analyzed, trypsin cleaved soybean, peanut, sesame and sunflower seed proteins most effectively to generate AMPs, with three, four, two and two AMPs obtained, respectively. Subtilisin was most effective for flaxseed AMPs release, obtaining three AMPs. More than 85% of AMPs were predicted to be cationic peptides, and some AMPs were hydrophobic. These potential AMPs were classified as non-toxic peptides, and 15 peptides were non‐allergenic. All the AMPs were unstable to digestive enzymes according to in silico simulated digestion. The results of this study provide a theoretical basis for further development of AMPs using oilseed proteins.

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Data availability statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (U21A20270), the Science and Technology Project of Henan Province (212102110323), the Scientific Research Starting Foundation Project for High-level Talents of Henan University of Technology (2018BS078) and the Innovative Funds Plan of Henan University of Technology (2021ZKCJ03).

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Contributions

XD and YL contributed to the study conception and design. XD, YL, MZ and ZL performed data collection and analysis. XD and YL wrote the main manuscript text. XD and FC contributed to the revision of the manuscript and approved the final manuscript.

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Correspondence to **aojie Duan or Fusheng Chen.

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The authors have no relevant financial or non-financial interests to disclose.

Research involving human participants and/or animals

This study did not involve human or animals participants.

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Handling editor: S. Albrecht.

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Duan, X., Leng, Y., Chen, F. et al. Evaluation of oilseed proteins as precursors of antimicrobial peptides using bioinformatics method. Amino Acids 55, 359–370 (2023). https://doi.org/10.1007/s00726-023-03234-z

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  • DOI: https://doi.org/10.1007/s00726-023-03234-z

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