Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection

1. Overview of coronavirus pandemic<br>2. Epidemiology and pathogenesis of novel coronavirus (SARS-COV-2)<br>3. The Global impact of pandemic on world economy and public health response<br>4. Genomic, proteomic and metabolomic profiling of SARS-CoV2<br>5. Current Challenges in development of therapeutic and diagnostic application for SARS-CoV2 detection<br>6. Available drugs for treatment of SARS-CoV2 and their side effects<br>7. Genomic and proteomic targets for development of drugs to combat pandemic<br>8. The classical approaches for drug design and development<br>9. Natural products as a therapy to combat against SARS-COV2 virus infection<br>10. Support of computational methods to design and develop therapies<br>11. Computational methods for optimizing drugs and delivery methods to manage COVID-19 pandemic<br>12. Pharmacophore mapping and modelling approaches for drug development<br>13. Quantitative structure activity relationship based computational approaches<br>14. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing<br>15. Computational approaches for drug repositioning and repurposing to combat SARS-CoV2 infection<br>16. Network biology and system biology based computational approaches for drug repositioning<br>17. Databases, drug bank and virtual screening platforms for therapeutic development<br>18. Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) assessment of drugs using computational tools<br>19. Immuno-informatics and reverse vaccinomic approaches for effective vaccine design<br>20. Artificial Intelligence based drug screening and repurposing tools and their application in present scenario<br>21. Machine learning and deep learning-based AI tools for development of diagnostic tools<br>22. Role and development of artificial intelligence-based smartphone apps for point-of-care coronavirus infection diagnostics<br>23. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection<br>24. Clinically available/ under trial drugs and vaccines for treatment of SARS-CoV-2<br>25. Present and Future challenges in therapeutic designing using computational approaches<br>26. AI enabled IoT in covid-19 detection and monitoring entire digital healthcare<br>27. Remote monitoring and management in vitro diagnostic (IVD) devices as fixed assets<br>28. Predict potential downtime of any IVD solutions deployed in a customer’s clinical setting<br>29. Recommendation systems for the best IVD solution for a customer’s needs<br>30. Digital healthcare data visualization and analytics for better decision-making