Chaudhary Anita, Bhalla Sherry, Patiyal Sumeet, Raghava Gajendra P S, Sahni Girish
Centre for Environmental Sciences and Resilient Agriculture, ICAR-IARI, New Delhi 110012, India.
Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi 110020, India.
Heliyon. 2021 Apr 8;7(4):e06668. doi: 10.1016/j.heliyon.2021.e06668. eCollection 2021 Apr.
Globally fermented foods are in demands due to their functional and nutritional benefits. These foods are sources of probiotic organisms and bioactive peptides, various amino acids, enzymes etc. that provides numerous health benefits. FermFooDb (https://webs.iiitd.edu.in/raghava/fermfoodb/) is a manually curated database of bioactive peptides derived from wide range of foods that maintain comprehensive information about peptides and process of fermentation. This database comprises of 2205 entries with following major fields, peptide sequence, Mass and IC50, food source, functional activity, fermentation conditions, starter culture, testing conditions of sequences or , type of model and method of analysis. The bioactive peptides in our database have wide range of therapeutic potentials that includes antihypertensive, ACE-inhibitory, antioxidant, antimicrobial, immunomodulatory and cholesterol lowering peptides. These bioactive peptides were derived from different types of fermented foods that include milk, cheese, yogurt, wheat and rice. Numerous, web-based tools have been integrated to retrieve data, peptide mapping of proteins, similarity search and multiple-sequence alignment. This database will be useful for the food industry and researchers to explore full therapeutic potential of fermented foods from specific cultures.
在全球范围内,发酵食品因其功能和营养益处而受到需求。这些食品是益生菌和生物活性肽、各种氨基酸、酶等的来源,具有众多健康益处。FermFooDb(https://webs.iiitd.edu.in/raghava/fermfoodb/)是一个人工整理的生物活性肽数据库,这些肽来源于多种食物,该数据库保存了有关肽和发酵过程的全面信息。该数据库包含2205条记录,具有以下主要字段:肽序列、质量和半数抑制浓度(IC50)、食物来源、功能活性、发酵条件、发酵剂培养物、序列测试条件或模型类型以及分析方法。我们数据库中的生物活性肽具有广泛的治疗潜力,包括抗高血压、血管紧张素转换酶(ACE)抑制、抗氧化、抗菌、免疫调节和降胆固醇肽。这些生物活性肽来源于不同类型的发酵食品,包括牛奶、奶酪、酸奶、小麦和大米。该数据库集成了许多基于网络的工具,用于检索数据、蛋白质的肽图谱分析、相似性搜索和多序列比对。该数据库将有助于食品行业和研究人员探索特定文化背景下发酵食品的全部治疗潜力。