摘要
系统生物学信息提供一个整合多种组分,了解发酵食品成分与健康、疾病中细胞、器官及生物发酵过程相互作用的平台。系统生物信息学超越了传统方法只关注个别分子和途径,帮助了以高通量数据为主生物信息学网络分析提供了一个整合生物复杂性与多层次连接的机会。新兴的技术主要应用在合理的食品开发范围内,从靶点确定和构建治疗网络模型到已证实食品成分与靶点作用安全有效的化学或配体的文库中进行筛选。
Systems biology provides a platform for integrating multiple components and inter-actions underlying cell,organ,and organism processes in the food health and disease.Beyond traditional approaches focused on individual molecules or pathways,bioinformatic network analysis of high-throughput data sets offers an opportunity for integration of biological complexity and multilevel connectivity.Emerging applications in rational drug discovery range from targeting and modeling disease-corrupted networks to screening chemical or ligand libraries to validation of drug-target interactions for improved efficacy and safety.
作者
刘辉
张会生
童火艳
江晓楠
陈晓婷
Liu Hui;Zhang Huisheng;Tong Huoyan;Jiang Xiaonan;Chen Xiaoting(Gugangdong Haitian Innovation Technology Co.Ltd., Foshan 528000, Guangdong, China;Foshan Guochuang Biological Fermentation Food Technology Innovation Center, Foshan 528000, Guangdong, China)
出处
《林业科技情报》
2022年第2期167-173,共7页
Forestry Science and Technology Information
基金
广东省佛山市博士后基金(A-1970.1)。
关键词
系统生物学
信息
发酵食品
健康
Systems biology
information
fermented food
health