Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data
Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive c...
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BioMed Central
2016-12-01
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Series: | Genomics & Informatics |
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Online Access: | http://genominfo.org/upload/pdf/gni-14-222.pdf |
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author | Ga Hee Shin Byeong-Chul Kang Dai Ja Jang |
author_facet | Ga Hee Shin Byeong-Chul Kang Dai Ja Jang |
author_sort | Ga Hee Shin |
collection | DOAJ |
description | Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive components in kimchi show antioxidant activity and have been associated with an enhanced immune response, as well as anti-cancer and anti-diabetic effects. Red pepper inhibits decay due to microorganisms and prevents food from spoiling. The vast amount of biological information generated by academic and industrial research groups is reflected in a rapidly growing body of scientific literature and expanding data resources. However, the genome, biological pathway, and related disease data are insufficient to explain the health benefits of kimchi because of the varied and heterogeneous data types. Therefore, we have constructed an appropriate semantic data model based on an integrated food knowledge database and analyzed the functional and biological processes associated with kimchi in silico. This complex semantic network of several entities and connections was generalized to answer complex questions, and we demonstrated how specific disease pathways are related to kimchi consumption. |
format | Article |
id | doaj-art-d6c42ed1ce0c42d8aeeb4a8ed4da4058 |
institution | Kabale University |
issn | 1598-866X 2234-0742 |
language | English |
publishDate | 2016-12-01 |
publisher | BioMed Central |
record_format | Article |
series | Genomics & Informatics |
spelling | doaj-art-d6c42ed1ce0c42d8aeeb4a8ed4da40582025-02-02T12:58:29ZengBioMed CentralGenomics & Informatics1598-866X2234-07422016-12-0114422222910.5808/GI.2016.14.4.222179Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published DataGa Hee Shin0Byeong-Chul Kang1Dai Ja Jang2Data Science Center, Insilicogen, Inc., Yongin 16954, Korea.Data Science Center, Insilicogen, Inc., Yongin 16954, Korea.Processing Technology Research Group, Korea Food Research Institute, Seongnam 13539, Korea.Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive components in kimchi show antioxidant activity and have been associated with an enhanced immune response, as well as anti-cancer and anti-diabetic effects. Red pepper inhibits decay due to microorganisms and prevents food from spoiling. The vast amount of biological information generated by academic and industrial research groups is reflected in a rapidly growing body of scientific literature and expanding data resources. However, the genome, biological pathway, and related disease data are insufficient to explain the health benefits of kimchi because of the varied and heterogeneous data types. Therefore, we have constructed an appropriate semantic data model based on an integrated food knowledge database and analyzed the functional and biological processes associated with kimchi in silico. This complex semantic network of several entities and connections was generalized to answer complex questions, and we demonstrated how specific disease pathways are related to kimchi consumption.http://genominfo.org/upload/pdf/gni-14-222.pdfcomputer simulationmetabolismsemantic modelingtraditional Korean food |
spellingShingle | Ga Hee Shin Byeong-Chul Kang Dai Ja Jang Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data Genomics & Informatics computer simulation metabolism semantic modeling traditional Korean food |
title | Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data |
title_full | Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data |
title_fullStr | Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data |
title_full_unstemmed | Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data |
title_short | Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on Modeling of Published Data |
title_sort | metabolic pathways associated with kimchi a traditional korean food based on modeling of published data |
topic | computer simulation metabolism semantic modeling traditional Korean food |
url | http://genominfo.org/upload/pdf/gni-14-222.pdf |
work_keys_str_mv | AT gaheeshin metabolicpathwaysassociatedwithkimchiatraditionalkoreanfoodbasedonmodelingofpublisheddata AT byeongchulkang metabolicpathwaysassociatedwithkimchiatraditionalkoreanfoodbasedonmodelingofpublisheddata AT daijajang metabolicpathwaysassociatedwithkimchiatraditionalkoreanfoodbasedonmodelingofpublisheddata |