Clinical and biochemical data-driven drug re-purposing for anti-infective drugs
About this talk
Drug repurposing has been shown to be advantageous for treating rare and common diseases. A data-driven drug repurposing approach may not only accelerate the time to reach the market but also helps in reducing costs and the clinical steps required, with the pre-existing knowledge of potential side-effects, special situations like age, gender or pregnancy, possibility to use combination with other drugs for more effective treatment, etc.
In the webinar, five data-driven strategies for antiviral and antibiotic drug research and development will be discussed:
• Search leveraging clinical data on drugs and biomolecules for treatment of related viral and bacterial disorders
• Search for substances reported to be active against related viruses and microbes in patents and articles
• Search for substances that interact with viral and bacterial proteins
• Investigation of compounds affecting human proteins, involved in the viral life cycle
• Assessment of the safety of drug candidate
Above approaches will be demonstrated, utilizing the clinical data from Embase and experimental biochemical data from Reaxys Medicinal Chemistry
About the speaker:
Dr. Andrey Khudoshin holds a PhD in Chemistry from Lomonosov Moscow State University. Before starting a corporate career in the field of chemistry, biology and drug R&D in various international companies, he also completed his postdoctoral research on transformation of natural compounds to valuable substances, like raw materials for green chemistry and potential bioactive compounds. He joined Elsevier in 2015 and since then he is involved in the implementation of Elsevier's Life Science solutions, supporting increase the effectiveness of drug R&D.