A Java backend for the PanDrugs.

PanDrugs provides a platform to guide the selection of therapies from the results of genome-wide studies in cancer disease.

Using 4 alternative inputs (e.g. standard VCF files, RNK files, gene list and drug query), PanDrugs identify actionable molecular alterations and prioritize drugs by calculating gene-drug scores which takes into account: i) genomic feature evidence by mutation impact score; ii) target pathway context; iii) drug approval status (FDA, clinical trial or experimental small molecule inhibitors) and iv) manually-curated pharmacological information retrieved from the literature.

PanDrugs scores combines biological and clinical relevance of the genes and their susceptibility to be targeted reflecting the strength or evidence level of the gene-drug association in order to assist the clinical decision making.

PanDrugs current version integrates data from 18 primary sources and supports ~50,000 drug-target associations obtained from ~6,000 genes and ~11,000 unique compounds.