Prospects of bioinformatics approach for exploring and mapping potential bioactive peptide of Rusip (The traditional Indonesian fermented anchovy): A Review

Muhammad Alfid Kurnianto, Fathma Syahbanu, Hamidatun Hamidatun, Ifwarisan Defri, Yushinta Aristya Sanjaya
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Abstract

Rusip is a traditional Indonesian side-dishes food that is a fermented anchovy product originating from Bangka Belitung. During the fermentation, various lactic acid bacteria grew in rusip and produced bioactive peptides because of proteolytic enzyme action. Several treatments to obtain bioactive peptides can be conducted (fermentation, in vivo digestion, and in vitro hydrolysis using enzymes). The in vivo and in vitro methods are a widely used approach, but these methods are costly and time-consuming. These limitations could be solved by the bioinformatics approach. This method manages and interprets information about biological systems that employ computational methods. This study aimed to review recent studies on rusip and similar fermented fish and peptide bioactive with their bioactivity), steps, advantages, and limitations of bioactive peptide studies using the bioinformatics approach. The review article was written using narrative literature review method, which based on in-depth investigation from scientific literatures by identifing keywords, reviewing the content of articles, and synthesizing the findings. The results showed that using bioinformatics has provided opportunities for the development of bioactive peptides. Through this method, bioactive peptide identification begins with determining the main sample protein and the enzymes in protein hydrolysis. The further steps are protein hydrolysis simulation, determining the potential for bioactivity, and molecular docking. The bioinformatics analyses were performed synergistically to predict the protein or peptide characteristics from the sample and its bioactivity and determine its interaction with their receptor. However, despite the advantages, the bioinformatics approach also has several limitations, such as the lack of certain types of proteins or peptides in the database and hydrolysis simulation tool. Combining conventional and in silico methods (hybrid method) is potential to obtain the new and promising bioactive peptides from rusip and other fermented fish (i.e., budu, bekasam, and pla duk ra) and meat products for development product, both functional food and supplements.
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生物信息学方法在印尼传统发酵凤尾鱼中潜在生物活性肽的探索与定位研究进展
Rusip是一种传统的印尼配菜,是一种发酵的凤尾鱼产品,起源于邦加勿里洞。在发酵过程中,由于蛋白水解酶的作用,各种乳酸菌在芦荻中生长并产生生物活性肽。可以进行几种处理来获得生物活性肽(发酵、体内消化和体外酶水解)。体内和体外方法是广泛使用的方法,但这些方法成本高,耗时长。这些限制可以通过生物信息学方法解决。这种方法管理和解释关于采用计算方法的生物系统的信息。本文综述了近年来国内外对木rusi及类似发酵鱼及多肽生物活性的研究进展,以及生物信息学方法在生物活性多肽研究中的应用进展、优势和局限性。本综述文章采用叙事性文献综述法,通过对科学文献进行深入调查,识别关键词,回顾文章内容,综合研究结果。结果表明,生物信息学的应用为生物活性肽的开发提供了契机。通过这种方法,生物活性肽鉴定从确定主要样品蛋白和蛋白水解酶开始。下一步是蛋白质水解模拟,确定潜在的生物活性和分子对接。生物信息学分析协同进行,以预测样品中的蛋白质或肽特征及其生物活性,并确定其与受体的相互作用。然而,尽管有这些优点,生物信息学方法也有一些局限性,例如数据库中缺乏某些类型的蛋白质或肽以及水解模拟工具。将传统方法和计算机方法(杂交方法)相结合,有可能从芦笋和其他发酵鱼(如budu, bekasam和pla duk ra)和肉制品中获得新的和有前途的生物活性肽,用于开发产品,包括功能食品和补充剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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