Bioactive Peptides from Tempeh Using Peptidecutter’s Cleavage
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Keywords

bioactive peptides, cleavage, in silico, PeptideCutter, protein

How to Cite

Tamam, B., Syah, D. ., Nuryani Lioe, H. ., T. Suhartono, M. ., Suratiah and Ananta Kusuma, W. . (2021) “Bioactive Peptides from Tempeh Using Peptidecutter’s Cleavage”, Bioinformatics and Biomedical Research Journal, 3(2), pp. 35–40. Available at: http://bbrjournal.com/index.php/bbrj/article/view/99 (Accessed: 16October2021).

Abstract

Tempeh is an Indonesian traditional fermented food with rich nutrition and bioactive components. Rhizopus sp, especially Rhizopus oligosporus), lactic acid bacteria (Lactobacillus sp.), and yeast are microorganisms involved in Tempeh fermentation. An interesting offer of Bioinformatics (in silico method) as a supporting tool in molecular biology studies has emerged, such as in protein cleavage. This study utilized PeptideCutter application on ExPASy Bioinformatics portal (https://web.expasy.org/peptide_cutter/) to cleave soy proteins glycinin G1, G2, G3, G4, G5, b-conglycinin-a chain, and b chain using available enzymes in the application with two simulations. Simulation I was conducted using enzyme complex produced by Lactobacillus sp. and Rhizopus oligosporus, while simulation II was used enzyme complex produced by Lactobacillus sp., Rhizopus oligosporus, and Klebsiella pneumonia. Simulation I was conducted using enzyme complex produced by Lactobacillus sp. and Rhizopus oligosporus, while simulation II was used enzyme complex produced by Lactobacillus sp., Rhizopus oligosporus, and Klebsiella pneumoniae. A total of 58 peptides was found from the simulation I and higher than simulation I (41 peptides). The bioactive peptides by the cleavages using PeptideCutter tool were dominated with dipeptides and only three peptides were in the form of tripeptides, namely Leu-Leu-Phe (glycinin G1), Val-Val-Phe (glycinin G5), and Arg-His-Lys (b-conglycinin-a chain). Bioactive peptides with antihypertensive and antidiabetic properties were mostly found in this in silico method of soybean

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References

Ryan JT, Ross RP, Bolton D, Fitzgerald GF, Stanton C (2011) Bioactive peptides from muscle sources: meat and fish. Nutrients. 3:765-791. https://doi.org/10.3390/nu3090765.

Korhonen H, Pihlanto A (2006) Bioactive peptides: produc-tion and functionality. Int Dairy J. 16:945-960. https://doi.org/10.1016/j.idairyj.2005.10.012.

Herman EM, Schmidt MA (2016) The potential for engineer-ing enhanced functional-feed soybeans for sustainable aqua

culture feed. Front Plant Sci. 7:440. https://doi.org/10.3389/fpls.2016.00440.

Gomes LS, Senna R, Sandim V, Silva-Neto MAC, Perales JEA, Zingali RB, Soares MR, Fialho E (2014) Four conven-tional soybean [Glycine max (L.) Merrill] seeds exhibit differ-ent protein profiles as revealed by proteomic analysis. J Agric Food Chem. 62:1283-1293. https://doi.org/10.1021/jf404351g.

Efriwati, Suwanto A, Rahayu G, Nuraida L (2013) Popula-tion dynamics of yeasts and Lactic Acid Bacteria (LAB) dur-ing tempeh production. Hayati J Biosci. 20:57-64. https://doi.org/10.4308/hjb.20.2.57.

Barus T, Suwanto A, Tri Wahyudi A, Wijaya H (2008) Role of bacteria in tempe bitter taste formation: microbiological and molecular biological analysis based on 16S rRNA gene. Microbiol Indones. 2:17-21. https://doi.org/10.5454/mi.2.1.4.

Tunçel G, Göktan D (1990) Effect of different methods of soaking soya beans on the growth of Bacillus cereus, Klebsiella pneumoniae and Staphylococcus aureus in tempeh. J Sci Food Agric. 53:287-296. https://doi.org/10.1002/jsfa.2740530302.

Holton TA, Vijayakumar V, Khaldi N (2013) Bioinformatics: current perspectives and future directions for food and nutri-tional research facilitated by a Food-Wiki database. Trends Food Sci Technol. 34:5-17.https://doi.org/10.1016/j.tifs.2013.08.009.

Udenigwe CC (2014) Bioinformatics approaches, prospects and challenges of food bioactive peptide research. Trends Food Sci Technol. 36:137-143. https://doi.org/10.1016/J.TIFS.2014.02.004.

Udenigwe CC, Gong M, Wu S (2013) In silico analysis of the large and small subunits of cereal RuBisCO as precursors of cryptic bioactive peptides. Process Biochem. 48:1794-1799. https://doi.org/10.1016/J.PROCBIO.2013.08.013.

Minkiewicz P, Iwaniak A, Darewicz M (2019) BIOPEP-UWM database of bioactive peptides: current opportunities. Int J Mol Sci. 20:5978. https://doi.org/10.3390/ijms20235978.

Tamam B, Syah D, Suhartono MT, Kusuma WA, Tachibana S, Lioe HN (2019) Proteomic study of bioactive peptides from tempe. J Biosci Bioeng. 128:241-248. https://doi.org/10.1016/j.jbiosc.2019.01.019.

Gibbs BF, Zougman A, Masse R, Mulligan C (2004) Produc-tion and characterization of bioactive peptides from soy hy-drolysate and soy-fermented food. Food Res Int. 37:123-131. https://doi.org/10.1016/J.FOODRES.2003.09.010.

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