Hackathon: Bioinformatics: Drug Target

Challenge DescriptionThe traditional drug discovery process is expensive and time-consuming. Accelerating thisprocess a significant challenge, for which taking a ML/AI-based pre-screening approach couldassist us with high-throughput virtual pre-screening of huge amount of drug candidates toidentify 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 accuratelypredict the docking scores of candidate drug molecules on SARS-CoV-2 protein targets.