DOI: 10.1101/477547Nov 27, 2018Paper

DrugCombDB: a comprehensive database of drug combinations toward network medicine and combination therapy

BioRxiv : the Preprint Server for Biology
Lei DengHui Liu

Abstract

Drug combinations have demonstrated high efficacy and low adverse side effects compared to single drug administrations in cancer therapies, and thus draw intensive attentions from researchers and pharmaceutical enterprises. Thanks to the fast development of high-throughput screening (HTS) methods, the amount of available drug combination datasets has tremendously increased. However, existing drug combination databases are lack of indications of the drug combinations and quantitative dose-responses. Therefore, there is an urgent need for a comprehensive database that is crucial to both experimental and computational screening of drug combinations. In this paper, we present DrugCombDB, a comprehensive database dedicated to integrating drug combinations from various data sources. Concretely, the data sources include 1) high-throughput screening assays of drug combinations, 2) external databases, and 3) manual curations from PubMed literature. In total, DrugCombDB includes 1,127,969 experimental data points wit quantitative dose response and concentrations of drug combinations covering 561 unique drugs and 104 human cancer cell lines, and 1,875 FDA approved or literature-supported drug combinations. In particular, we adopted the ze...Continue Reading

Related Concepts

Classification
Drug Combinations
Drug Industry
Combination Drug Therapy
Pharmaceutical Preparations
Literature
Regression Analysis
Research Personnel
United States Food and Drug Administration
Cell Line, Tumor

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