Design, in silico modeling, and in vitro evaluation of a novel antimicrobial peptide (QLSNGLFVDYLWW)

Sergey Tikhonov Olga Babich Natalya Tikhonova Irina Chernukha Mukesh Kumar Awasthi Stanislav Sukhikh   

Open Access   

Published:  Mar 21, 2026

DOI: 10.7324/JABB.2026.264169
Abstract

The creation and use of specialized food products, including those for personalized nutrition based on food peptides of various functional orientations, are limited due to their proteolysis in the gastrointestinal tract and the denaturation of peptides resulting from the heat treatment of food products during production. The study aimed to perform molecular dynamics modeling, to synthesize peptides using molecular transplantation, and to evaluate the in vitro efficacy of the resulting new-generation antimicrobial peptide. The novel hydrophobic peptide was QLSNGLFVDYLWW. The molecular weight of the peptide was 1640.861 Da. It was predicted that the peptide was lipophilic (logP 1.043 units), the VDss distribution and metabolism in the body index was 0.879 units, the CLplasma clearance was 0.879 mL/min/ kg, and the T1/2 half-life was on average from 4 to 8 h. The results clearly demonstrated the antimicrobial activity of the QLSNGLFVDYLWW peptide against Gram-positive and Gram-negative bacteria and yeast. The results allow recommending the peptide as an ingredient for creating functional food products.


Keyword:     Antimicrobial food peptide Structure-activity Molecular-peptide transplantation Molecular-dynamic modeling Antimicrobial mechanism of peptide action


Citation:

Tikhonov S, Babich O, Tikhonova N, Chernukha I, Awasthi MK, Sukhikh S. Design, in silico modeling, and in vitro evaluation of a novel antimicrobial peptide (QLSNGLFVDYLWW). J Appl Biol Biotech 2026. Article in Press. http://doi.org/10.7324/JABB.2026.264169

Copyright: Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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Reference

1. Wu Q, Patocka J, Kuca K. Insect antimicrobial peptides, a mini review. Toxins (Basel). 2018;10(11):461. https://doi.org/10.3390/toxins10110461

2. Boparai J, Sharma P. Mini review on antimicrobial peptides, sources, mechanism and recent applications. Protein Pept Lett. 2020;27(1):4-16. https://doi.org/10.2174/0929866526666190822165812

3. Zhang LJ, Gallo R. Antimicrobial peptides. Curr Biol. 2016;26(1):R14-9. https://doi.org/10.1016/j.cub.2015.11.017

4. Jiang H, Liu J.Enhancing food safety with antimicrobial peptides in packaging materials. Food Control. 2023;148:108827. https://doi.org/10.1016/j.foodcont.2023.108827

5. Mann A, Nehra K, Rana JS, Dahiya T. Antibiotic resistance in agriculture: Perspectives on upcoming strategies to overcome upsurge in resistance. Curr Res Microb Sci. 2021;2:100030. https://doi.org/10.1016/j.crmicr.2021.100030

6. Huan Y, Kong Q, Mou H, Yi H. Antimicrobial peptides: Classification, design, application and research progress in multiple fields. Front Microbiol. 2020;11:582779. https://doi.org/10.3389/fmicb.2020.582779

7. Tikhonov SL, Chernukha IM. Cow milk polypeptide -a promising functional ingredient of specialized food products for the prevention of viral infections. Polzunov Bull. 2023;1:114-122. (Rus). https://doi.org/10.25712/ASTU.2072-8921.2023.01.014

8. Smith J, White P. Diagnostic applications of antimicrobial peptides: Current status and future directions. Diagn Microbiol Infect Dis. 2021;101(3):234-45.

9. Ulitina EA, Valieva SH, Tikhonov SL, Tikhonova NV. New antimicrobial food peptide: Characterization, properties and efficiency evaluation. Agrarn Nauka. 2024;4:132-7. (Rus). https://doi.org/10.32634/0869-8155-2024-381-4-132-137

10. Camarero J, Campbell M. The potential of the cyclotide scaffold for drug development. Biomedicines. 2019;7(2):31. https://doi.org/10.3390/biomedicines7020031

11. Wang CK, Craik DJ.Linking molecular evolution to molecular grafting. J Biol Chem. 2021;296:100425. https://doi.org/10.1016/j.jbc.2021.100425

12. Agrawal P, Raghava GPS. Prediction of antimicrobial potential of a chemically modified peptide from its tertiary structure. Front Microbiol. 2018;9:2551. https://doi.org/10.3389/fmicb.2018.02551

13. Wang G. Post-translational modifications of natural antimicrobial peptides and strategies for peptide engineering. Curr Biotechnol. 2012;1:72-9. https://doi.org/10.2174/2211550111201010072

14. Dhanda SK, Usmani SS, Agrawal P, Nagpal G, Gautam A, Raghava GPS. Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics. Brief Bioinform. 2017;18:467-78. https://doi.org/10.1093/bib/bbw025

15. Porto W, Pires A, Franco O. Computational tools for exploring sequence databases as a resource for antimicrobial peptides. Biotechnol Adv. 2018;36(1):221-33. https://doi.org/10.1016/j.biotechadv.2017.02.001

16. Wang G, Li X, Wang Z. APD3: The antimicrobial peptide database as a tool for research and education. Nucleic Acids Res. 2016;44:D1087-93. https://doi.org/10.1093/nar/gkv1278

17. Qin L, Cui Z, Wu Y, Wang H, Zhang X, Guan J, et al. Challenges and strategies to enhance the systemic absorption of inhaled peptides and proteins. Pharm Res. 2022;40:1037-55. https://doi.org/10.1007/s11095-022-03435-3

18. Arnison P, Bibb M, Bierbaum G, Bowers AA, Bugni TS, et al. Ribosomally synthesized and post-translationally modified peptide natural products: Overview and recommendations for a universal nomenclature. Nat Prod Rep. 2013;30:108-60.

19. Beirigo PJ, Torquato HF, Santos CH, Carvalho MGD, Castro RN, Paredes-Gamero EJ, et al. [1-8-NaC]-Zanriorb A1, a proapoptotic orbitide from leaves of Zan-thoxylum riedelianum. J Nat Prod. 2016;79:1454-8. https://doi.org/10.1021/acs.jnatprod.5b00177

20. Richter A, Sutherland D, Ebrahimikondori H, Babcock A, Louie N, Li C, et al. Associating biological activity and predicted structure of antimicrobial peptides from amphibians and insects. Antibiotics (Basel). 2022;11(12):1710. https://doi.org/10.3390/antibiotics11121710

21. Lin D, Sutherland D, Aninta SI, Louie N, Nip KM, Li C, et al. Mining amphibian and insect transcriptomes for antimicrobial pep-tide sequences with rAMPage. Antibiotics (Basel). 2022;11(7):952. https://doi.org/10.3390/antibiotics11070952

22. Das P, Sercu T, Wadhawan K, Padhi I, Gehrmann S, Cipcigan F, et al. Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations. Nat Biomed Eng. 2021;5(6):613-23. https://doi.org/10.1038/s41551-021-00689-x

23. Li C, Sutherland D, Richter A, Coombe L, Yanai A, Warren RL, et al. De novo synthetic antimicrobial peptide design with a recurrent neural network. Protein Sci. 2024;33(8):e5088. https://doi.org/10.1002/pro.5088

24. Babich O, Shevchenko M, Ivanova S, Pavsky V, Zimina M, Noskova S, et al. Antimicrobial potential of microorganisms isolated from the bottom sediments of lake Baikal. Antibiotics (Basel). 2021;10(8):927. https://doi.org/10.3390/antibiotics10080927

25. Shevchenko M, Sukhikh S, Babich O, Noskova S, Ivanova S, Lisun V, et al. First insight into the diversity and antibacterial potential of psychrophilic and psychotrophic microbial communities of abandoned amber quarry. Microorganisms. 2021;9(7):1521. https://doi.org/10.3390/microorganisms9071521

26. Tikhonov S, Tikhonova N, Timofeeva M, Shikhalev S. A new food peptide for the prevention of cell photoaging: Characterization and confirmation of effectiveness in vitro. Bull East Siberian State Univ Technol Manage. 2024;4(95):43-51. (Rus). https://doi.org/10.53980/24131997_2024_4_43

27. Tikhonov S, Tikhonova N, Babich O, Sukhikh S, Sysuev E, Zvereva D. Development and prediction of the properties of a new biopeptide for dietary nutrition. Polzunovskiy Vestnik. 2025;3:31-8. (Rus). https://doi.org/10.25712/ASTU.2072-8921.2025.03.005

28. Hayes M, Rougé P, Barre A, Herouet-Guicheney C, Roggen EL. In silico tools for exploring potential human allergy to proteins. Drug Discov Today Dis Models. 2015;17:3-11. https://doi.org/10.1016/j.ddmod.2016.06.001

29. Tu M, Liu H, Zhang R, Chen H, Fan F, Shi P, et al. Bioactive hydrolysates from casein: generation, identification, and in silico toxicity and allergenicity prediction of peptides. J Sci Food Agric. 2018;98(9):3416-26. https://doi.org/10.1002/jsfa.8854

30. Lafarga T, Wilm M, Wynne K, Hayes M. Bioactive hydrolysates from bovine blood globulins: Generation, characterisation, and in silico prediction of toxicity and allergenicity. J Funct Foods. 2016;24:142-55. https://doi.org/10.1016/j.jff.2016.03.031

31. Marks JR, Placone J, Hristova K, Wimley WC. Spontaneous membrane-translocating peptides by orthogonal high-throughput screening. J Am Chem Soc. 2011;133:8995-9004. https://doi.org/10.1021/ja2017416

32. Wold S, Jonsson J, Sjörström M, Sandberg M, Rännar S. DNA and peptide sequences and chemical processes multi variately modelled by principal component analysis and partial least-squares projections to latent structures. Anal Chim Acta. 1993;277:239-53. https://doi.org/10.1016/0003-2670(93)80437-P

33. Wang P, Hu L, Liu G, Jiang N, Chen X, Xu J, et al. Prediction of antimicrobial peptides based on sequence alignment and feature selection methods. PLoS One. 2011;6(4):e18476. https://doi.org/10.1371/journal.pone.0018476

34. Thomas S, Karnik S, Barai RS, Jayaraman VK, Idicula-Thomas S. CAMP: A useful resource for research on antimicrobial peptides. Nucleic Acids Res. 2010;38:D774-80. https://doi.org/10.1093/nar/gkp1021

35. Cafaro V, Bosso A, Di Nardo I, D’Amato A, Izzo I, De Riccardis F, et al. The antimicrobial, antibiofilm and anti-inflammatory activities of P13#1, a cathelicidin-like achiral peptoid. Pharmaceuticals (Basel). 2023;16.1386. https://doi.org/10.3390/ph16101386

36. Bin Hafeez A, Jiang X, Bergen PJ, Zhu Y. Antimicrobial peptides: An update on classifications and databases. Int J Mol Sci. 2021;22:11691. https://doi.org/10.3390/ijms222111691

37. Zhang QY, Yan ZB, Meng YM, Hong XY, Shao G, Ma JJ, et al. Antimicrobial peptides: Mechanism of action, activity and clinical potential. Mil Med Res. 2021;8:48. https://doi.org/10.1186/s40779-021-00343-2

38. Olleik H, Perrier J, Hijazi A, Baydoun E, Maresca M. Antimicrobial peptides and peptidomimetics as treatment option for Helicobacter pylori infection. In: Peptide and Protein Engineering for Biotechnological and Therapeutic Applications. Singapore: World Scientific; 2023. p. 25-56.

39. Kapil S, Sharma V. D-amino acids in antimicrobial peptides: A potential approach to treat and combat antimicrobial resistance. Can J Microbiol. 2020;67:119-37. https://doi.org/10.1139/cjm-2020-0142

40. Le C, Fang C, Sekaran S. Intracellular targeting mechanisms by antimicrobial peptides. Antimicrob Agents Chemother. 2017;61:e02340-16. https://doi.org/10.1128/AAC.02340-16

41. Li X, Zuo S, Wang B, Zhang K, Wang Y. Antimicrobial mechanisms and clinical application prospects of antimicrobial peptides. Molecules. 2022;27:2675. https://doi.org/10.3390/molecules27092675

42. Aghapour Z, Gholizadeh P, Ganbarov K, Bialvaei AZ, Mahmood SS, et al. Molecular mechanisms related to colistin resistance in Enterobacteriaceae. Infect Drug Resist. 2019;12:965-75. https://doi.org/10.2147/IDR.S199844

43. Fleitas O, Franco OL. Induced bacterial cross-resistance toward host antimicrobial peptides: A worrying phenomenon. Front Microbiol. 2016;7:381. https://doi.org/10.3389/fmicb.2016.00381

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