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  • 09월 20일 16시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제126회 대한화학회 학술발표회 및 총회 Target analysis of herbal medicine prescription related to diabetes by high-throughput screening and network analysis

등록일
2020년 9월 3일 16시 59분 41초
접수번호
0813
발표코드
LIFE.P-305 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
10월 21일(수) 17:30~18:00
발표형식
포스터
발표분야
Life Chemistry
저자 및
공동저자
Youllee Kim, Dohee Ahn1, Sang Jeon Chung2,*
School of pharmacy, Sungkyunkwan University, Korea
1School of Pharmacy, Sungkyunkwan University, Korea
2School of Pharmacy, SungKyunKwan University, Korea
Traditional oriental medicine (TOM) has been used to treat disease for thousands of years. However, the targets of TOM have been barely validated by modern analytical science because TOM has been established by qualitative and philosophical approach. To create the method which reveal the target of TOM ingredients by analytical science, we have accumulated a set of biological data based on in vitro enzyme assay with high-throughput screening (HTS) of 658 purified natural products for inhibition of human protein tyrosine phosphatase (hPTP) libraries consisting of 77 members. The resulting data were combined with the data of herbal medicine, which affords pre ready data for systemic analysis of disease, medicinal target, natural product, herbal medicine, prescription of herbal medicine for type 2 diabetes (T2D). Ingredients included in the diabetes-related herbal medicine prescription have been shown to inhibit diabetes-related PTPs. Among herbal medicine prescriptions for T2D, 14 showed targeting of T2D related PTPs and the most targeted PTP was PTPN11. This is the first example that a set of prescriptions for a specific disease was validated by modern analytical science. The result supported that TOM has each medicinal target for specific disease. This type of analysis may pave a way to validate TOM and to discover novel medicinal targets at the same time.

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