Hackathon 2022: Bioinformatics: Drug Target

Challenge DescriptionThe traditional drug discovery process is expensive and time-consuming. Accelerating this process a significant challenge, for which taking a ML/AI-based pre-screening approach could assist us with high-throughput virtual pre-screening of huge amount of drug candidates to identify highly potent candidates for experimental testing and further validation.Goal:The goal of this challenge is to build effective ML/AI-based surrogate models that can accurately predict the docking scores of candidate drug molecules on SARS-CoV-2 protein targets.