Yang Hong, Qin Chu, Li Ying Hong, Tao Lin, Zhou Jin, Yu Chun Yan, Xu Feng, Chen Zhe, Zhu Feng, Chen Yu Zong
Bioinformatics and Drug Design Group, Department of Pharmacy, and Center for Computational Science and Engineering, National University of Singapore, 117543, Singapore Innovative Drug Research Centre and College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
Bioinformatics and Drug Design Group, Department of Pharmacy, and Center for Computational Science and Engineering, National University of Singapore, 117543, Singapore.
Nucleic Acids Res. 2016 Jan 4;44(D1):D1069-74. doi: 10.1093/nar/gkv1230. Epub 2015 Nov 17.
Extensive drug discovery efforts have yielded many approved and candidate drugs targeting various targets in different biological pathways. Several freely accessible databases provide the drug, target and drug-targeted pathway information for facilitating drug discovery efforts, but there is an insufficient coverage of the clinical trial drugs and the drug-targeted pathways. Here, we describe an update of the Therapeutic Target Database (TTD) previously featured in NAR. The updated contents include: (i) significantly increased coverage of the clinical trial targets and drugs (1.6 and 2.3 times of the previous release, respectively), (ii) cross-links of most TTD target and drug entries to the corresponding pathway entries of KEGG, MetaCyc/BioCyc, NetPath, PANTHER pathway, Pathway Interaction Database (PID), PathWhiz, Reactome and WikiPathways, (iii) the convenient access of the multiple targets and drugs cross-linked to each of these pathway entries and (iv) the recently emerged approved and investigative drugs. This update makes TTD a more useful resource to complement other databases for facilitating the drug discovery efforts. TTD is accessible at http://bidd.nus.edu.sg/group/ttd/ttd.asp.
广泛的药物研发工作已经产生了许多针对不同生物途径中各种靶点的获批药物和候选药物。有几个免费的数据库提供药物、靶点和药物靶向途径信息,以促进药物研发工作,但对临床试验药物和药物靶向途径的覆盖不足。在此,我们描述了先前在《核酸研究》中介绍过的治疗靶点数据库(TTD)的更新情况。更新内容包括:(i)临床试验靶点和药物的覆盖范围显著增加(分别是上一版本的1.6倍和2.3倍),(ii)大多数TTD靶点和药物条目与KEGG、MetaCyc/BioCyc、NetPath、PANTHER途径、途径相互作用数据库(PID)、PathWhiz、Reactome和WikiPathways的相应途径条目交叉链接,(iii)方便获取与这些途径条目中每一个交叉链接的多个靶点和药物,以及(iv)最近出现的获批药物和研究性药物。此次更新使TTD成为更有用的资源,可补充其他数据库以促进药物研发工作。可通过http://bidd.nus.edu.sg/group/ttd/ttd.asp访问TTD。