EZCancerTarget: an open-access drug repurposing and data-collection tool to enhance
target validation and optimize international research efforts against highly progressive
cancers
(ANN128666) Funder: Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal
(Start-up grant) Funder: Semmelweis University
Subjects:
Data mining
The expanding body of potential therapeutic targets requires easily accessible, structured,
and transparent real-time interpretation of molecular data. Open-access genomic, proteomic
and drug-repurposing databases transformed the landscape of cancer research, but most
of them are difficult and time-consuming for casual users. Furthermore, to conduct
systematic searches and data retrieval on multiple targets, researchers need the help
of an expert bioinformatician, who is not always readily available for smaller research
teams. We invite research teams to join and aim to enhance the cooperative work of
more experienced groups to harmonize international efforts to overcome devastating
malignancies. Here, we integrate available fundamental data and present a novel, open
access, data-aggregating, drug repurposing platform, deriving our searches from the
entries of Clue.io. We show how we integrated our previous expertise in small-cell
lung cancer (SCLC) to initiate a new platform to overcome highly progressive cancers
such as triple-negative breast and pancreatic cancer with data-aggregating approaches.
Through the front end, the current content of the platform can be further expanded
or replaced and users can create their drug-target list to select the clinically most
relevant targets for further functional validation assays or drug trials. EZCancerTarget
integrates searches from publicly available databases, such as PubChem, DrugBank,
PubMed, and EMA, citing up-to-date and relevant literature of every target. Moreover,
information on compounds is complemented with biological background information on
eligible targets using entities like UniProt, String, and GeneCards, presenting relevant
pathways, molecular- and biological function and subcellular localizations of these
molecules. Cancer drug discovery requires a convergence of complex, often disparate
fields. We present a simple, transparent, and user-friendly drug repurposing software
to facilitate the efforts of research groups in the field of cancer research.