RT Journal Article
SR Electronic
T1 DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.03.25.436916
DO 10.1101/2021.03.25.436916
A1 Shuyu Zheng
A1 Jehad Aldahdooh
A1 Tolou Shadbahr
A1 Yinyin Wang
A1 Dalal Aldahdooh
A1 Jie Bao
A1 Wenyu Wang
A1 Jing Tang
YR 2021
UL http://biorxiv.org/content/early/2021/03/26/2021.03.25.436916.abstract
AB Combinatorial therapies that target multiple pathways have shown great promises for treating complex diseases. DrugComb (https://drugcomb.org/) is a web-based portal for the deposition and analysis of drug combination screening datasets. Since its first release, DrugComb has received continuous updates on the coverage of data resources, as well as on the functionality of the web server to improve the analysis, visualization and interpretation of drug combination screens. Here we report significant updates of DrugComb, including: 1) manual curation and harmonization of more comprehensive drug combination and monotherapy screening data, not only for cancers but also for other diseases such as malaria and COVID-19; 2) enhanced algorithms for assessing the sensitivity and synergy of drug combinations; 3) network modelling tools to visualize the mechanisms of action of drugs or drug combinations for a given cancer sample; and 4) state-of-the-art machine learning models to predict drug combination sensitivity and synergy. These improvements have been provided with more user-friendly graphical interface and faster database infrastructure, which make DrugComb the most comprehensive web-based resources for the study of drug sensitivities for multiple diseases.Competing Interest StatementThe authors have declared no competing interest.