Checkpoint therapeutic target database (CKTTD): the first comprehensive database for checkpoint targets and their modulators in cancer immunotherapy.
Checkpoint therapeutic target database (CKTTD): the first comprehensive database for checkpoint targets and their modulators in cancer immunotherapy.
复制标题
检查点治疗靶点数据库（CKTTD）：第一个癌症免疫治疗中检查点靶点及其调节剂的综合数据库
DOI：
10.1136/jitc-2020-001247
复制
发表时间：
2020-10
影响因子：
10.9
通讯作者：
Yang Y
中科院分区：
文献类型：
--
作者：
Zhang Y;Yao Y;Chen P;Liu Y;Zhang H;Liu H;Liu Y;Xu H;Tian X;Wang Z;Chu P;Zhao D;Liu H;Zhang C;Chen S;Zhao Y;Liu C;Yang Y
背景检查点靶点在肿瘤介导的免疫逃逸中起关键作用，因此对于癌症免疫治疗至关重要。不幸的是，缺乏生物信息学资源来编译用于免疫肿瘤学中的转化研究和药物发现的所有检查点靶标。方法为此，我们开发了检查点治疗靶点数据库（CKTTD），这是第一个针对免疫检查点靶点（蛋白质，miRNA和LncRNA）及其调节剂的综合数据库。采用评分系统，以高置信度过滤更多相关目标。此外，一些生物数据库，如Oncomine，Drugbank，miRBase和Lnc2Cancer数据库被整合到CKTTD中，以提供深入的信息。此外，我们计算并提供了所有靶点的配体结合位点信息，这些信息可以支持实验室科学家的药物发现工作。结果CKTTD共收集了105个肿瘤免疫治疗中的检查点蛋白靶点、53个调节剂（小分子和抗体）、30个miRNAs和18个LncRNAs，并通过增强的文本挖掘系统从10 649篇文献中收集了有效的实验证据。结论CKTTD可作为肿瘤免疫治疗研究和药物开发的有效平台。公众可在http://www.ckttdb.org/免费查阅CKTTD数据库。
Background Checkpoint targets play a key role in tumor-mediated immune escape and therefore are critical for cancer immunotherapy. Unfortunately, there is a lack of bioinformatics resource that compile all the checkpoint targets for translational research and drug discovery in immuno-oncology. Methods To this end, we developed checkpoint therapeutic target database (CKTTD), the first comprehensive database for immune checkpoint targets (proteins, miRNAs and LncRNAs) and their modulators. A scoring system was adopted to filter more relevant targets with high confidence. In addition, a few biological databases such as Oncomine, Drugbank, miRBase and Lnc2Cancer database were integrated into CKTTD to provide an in-depth information. Moreover, we computed and provided ligand-binding site information for all the targets which may support bench scientists for drug discovery efforts. Results In total, CKTTD compiles 105 checkpoint protein targets, 53 modulators (small-molecules and antibody), 30 miRNAs and 18 LncRNAs in cancer immunotherapy with validated experimental evidences curated from 10 649 literatures via an enhanced text-mining system. Conclusions In conclusion, the CKTTD may serve as a useful platform for the research of cancer immunotherapy and drug discovery. The CKTTD database is freely available to public at http://www.ckttdb.org/.
登录
查看更多内容
影响因子：
14.9
作者：
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者：
Tanabe M
影响因子：
14.9
作者：
Kim S;Thiessen PA;Bolton EE;Chen J;Fu G;Gindulyte A;Han L;He J;He S;Shoemaker BA;Wang J;Yu B;Zhang J;Bryant SH
通讯作者：
Bryant SH
David Gene功能分类工具：一种以生物模块为中心的新型算法，可在功能上分析大基因列表。
影响因子：
12.3
作者：
Huang, Da Wei;Sherman, Brad T;Tan, Qina;Collins, Jack R;Alvord, W Gregory;Roayaei, Jean;Stephens, Robert;Baseler, Michael W;Lane, H Clifford;Lempicki, Richard A
通讯作者：
Lempicki, Richard A
影响因子：
64.8
作者：
Mellman, Ira;Coukos, George;Dranoff, Glenn
通讯作者：
Dranoff, Glenn
影响因子：
14.8
作者：
Kozakov D;Grove LE;Hall DR;Bohnuud T;Mottarella SE;Luo L;Xia B;Beglov D;Vajda S
通讯作者：
Vajda S