Health Care

Scale, Speed, Sensitivity: Genomic Surveillance of Pathogens closer to Point of Care. Understand Genome architecture of the Pathogen/s and identify potential new pathogen/s

Cost-effective diagnosis: Develop cost-effective genetic assay/s for detection/diagnostics Identify genomic hotspots and mutations for upscaling testing and downscaling costing.

The focus for Cancer Vertical is to put together Population Scale Cancer datasets for Indian Population and also cost effective screening and diagnostic solutions for a specific cancer types (Ex. Oral Cancer)

Accurate binding affinity prediction of Protein-Ligand (PL) complexes is of paramount importance in drug discovery. Currently available open PL datasets, example PDBbind, have issues regarding uniformity of data, limited states, & limited size. To address these issues, computational methods are being adopted to calculate the binding affinity of PL complexes uniformly across the dataset, including higher energy states or unbound states.

This is the collection of Screening and Diagnostic Algorithms developed by the Researchers here at the institute.