scDrugAtlas: an integrative single-cell drug response atlas for unraveling tumor heterogeneity in therapeutic efficacy

Wei Huang, Xinda Ren, Hui Liu*

A integrative repository of datasets related to single-cell drug sensitivity, which aims to integrate scRNA-seq data with drug-responsive or drug-resistant labels of individual cells, together with convenient tools for data analysis, search and visualization. The database now comprises the transcriptional profiles and drug response labels of 1,014,771 cells came from more than 1,000 samples, across 64 unique drugs and 13 major cancer types.

DrugCombDB a comprehensive database of drug combinations toward the discovery of combinatorial therapy

Hui Liu, Wenhao Zhang, Bo Zou, Jinxian Wang, Yuanyuan Deng, Lei Deng*

DrugCombDB is a comprehensive database dedicated to integrating drug combinations from various data sources, include 1) high-throughput screening assays of drug combinations, 2) external databases, and 3)manual curations from PubMed literature. DrugCombDB contains 6,891,566 experimental data points with quantitative dose response and concentrations of drug combinations covering 2,887 unique drugs and 124 human cancer cell lines. In addition, ~2,000 FDA approved or literature-supported drug combinations collected from external databases and text-mining followed by manual curations can be downloaded.

SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets

Jing Guo, Hui Liu*, Jie Zheng

SynLethDB is the first comprehensive database that harbours a large set of synthetic lethality (SL) gene pairs collected from a variety of sources, including biochemical assays, other related databases, computational predictions and text mining. SynLethDB covers human and 4 model species, i.e. mouse, fruit fly, worm and yeast . Current version contains 50868 synthetic lethality pairs. The current version of SynLethDB also contains a knowledge graph with 11 knids of entities and 27 kinds of relationships.