A Data-Driven Perspective on Drug Discovery

The COVID-19 pandemic has ushered in a revolution in the process of developing a preventive vaccine or therapeutic prescription drugs for the virus. As of mid-April 2020, there are over 200 pharmaceutical companies, university research teams, and health organizations testing over 100 vaccine candidates and 120 potential drugs in various stages of clinical/preclinical development. In this webinar, experts from Qatar Computing Research Institute (QCRI) will present the pros and cons of some of the treatment directions currently being pursued, and will showcase a set of quantitative measures widely utilized to measure a drug’s effectiveness. The webinar will also illustrate various modes of biological information available for the SARS-CoV-2 virus. Similarly, experts will highlight available resources on drug structure, representations, targets, and mechanism of actions. The second part of this webinar will present a mathematical framework design for the drug repurposing (synergy) task with data-driven machine learning solutions to identify potential drug candidates for SARS-CoV-2.

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