GRID (GVK BIO Repurposing Integrated Database)
GRID is a custom made proprietary database, which includes data from both public and proprietary sources. It contains individual data marts of drugs, diseases and targets and also creates multi-dimensional profiles of biologically relevant entities such as genes, pathways, biomarkers and adverse events.
This one stop shop helps GVK BIO scientists in identifying the non-obvious correlations between drugs, diseases and targets in a systematic and highly predictable manner.
GVK BIO has developed number of customised proprietary algorithms to mine the drug-target-disease associations. Each algorithm is specifically designed to address the different types of data and bring out the novel alternative indications or therapeutics candidate for drug and diseases, respectively.
Structural Similarity: Identifies structurally similar compounds with new indications.
Literature Mining: Gives drug – disease – target associations from public literature.
Adverse Events: Identifies drugs sharing similar adverse events.
Interactome: Predicts chemical protein interaction network.
Pathways: Helps in identification of alternate targets and therapeutic indications for query drugs.
Gene Expression: Establishes a three way connection between genes, diseases and drugs.
GWAS: Establishes the connection between phenotype and genotype.
Clinical Trials: Helps in screening the ongoing/completed/withdrawn clinical trials of the given drug and clinical trials involving the given drug’s original target.
Analytics Engine & Visualisation Tools
GVK BIO has established a novel analytical engine and visualisation tool to identify the hidden connections between drugs, diseases and targets. This visualisation tool enables scientist to examine both direct and indirect connections as well as known and unknown relationships. The visualisation network may be built using number of drug repurposing analytical entities such as drug, disease, target, biomarker, pathway, adverse events and clinical trials.