药物数据库
UniProt公司
生物
药物发现
Ensembl公司
计算生物学
小桶
仿形(计算机编程)
公共化学
万维网
生物信息学
计算机科学
药品
基因
基因组学
转录组
遗传学
药理学
基因组
基因表达
操作系统
作者
Dapeng Yan,Genhui Zheng,Caicui Wang,Zikun Chen,Tiantian Mao,Jian Gao,Yu Yan,Xiangyi Chen,Xuejie Ji,Jinyu Yu,Saifeng Mo,Haonan Wen,Wenfeng Han,Mengdi Zhou,Yuan Wang,Jun Wang,Kailin Tang,Zhiwei Cao
摘要
Literature-described targets of herbal ingredients have been explored to facilitate the mechanistic study of herbs, as well as the new drug discovery. Though several databases provided similar information, the majority of them are limited to literatures before 2010 and need to be updated urgently. HIT 2.0 was here constructed as the latest curated dataset focusing on Herbal Ingredients' Targets covering PubMed literatures 2000-2020. Currently, HIT 2.0 hosts 10 031 compound-target activity pairs with quality indicators between 2208 targets and 1237 ingredients from more than 1250 reputable herbs. The molecular targets cover those genes/proteins being directly/indirectly activated/inhibited, protein binders, and enzymes substrates or products. Also included are those genes regulated under the treatment of individual ingredient. Crosslinks were made to databases of TTD, DrugBank, KEGG, PDB, UniProt, Pfam, NCBI, TCM-ID and others. More importantly, HIT enables automatic Target-mining and My-target curation from daily released PubMed literatures. Thus, users can retrieve and download the latest abstracts containing potential targets for interested compounds, even for those not yet covered in HIT. Further, users can log into 'My-target' system, to curate personal target-profiling on line based on retrieved abstracts. HIT can be accessible at http://hit2.badd-cao.net.
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