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.
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.