Recent advances in computational biology have enabled researchers to opt for faster methods for specific drug design or to repurpose existing approved drugs for mitigating current pandemics. Furthermore, revolutionary algorithm-based artificial intelligence technologies have not only shown considerable potential in drug design but also advantageous in the monitoring of disease symptoms and community spread through smartphone-based apps. This would help in managing patient care and treatment remotely without affecting the health care providers and thereby reducing the chances of spread of…mehr
Recent advances in computational biology have enabled researchers to opt for faster methods for specific drug design or to repurpose existing approved drugs for mitigating current pandemics. Furthermore, revolutionary algorithm-based artificial intelligence technologies have not only shown considerable potential in drug design but also advantageous in the monitoring of disease symptoms and community spread through smartphone-based apps. This would help in managing patient care and treatment remotely without affecting the health care providers and thereby reducing the chances of spread of infection. Owing to the advantages of computational methods, Computational Approaches for Novel Therepeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection compiles the information about the various computational bioinformatic approaches which can further help to combat viral infection. This book discussed various molecular docking and molecular dynamic simulation approaches along with artificial intelligence-based strategies which have been exploited for drug repurposing and drug designing. It also sheds light on reverse vaccinomics and immunoinformatic-based approaches for vaccine designing against SARS-CoV-2 infection--back cover.
1. Overview of coronavirus pandemic 2. Epidemiology and pathogenesis of novel coronavirus (SARS-COV-2) 3. The Global impact of pandemic on world economy and public health response 4. Genomic, proteomic and metabolomic profiling of SARS-CoV2 5. Current Challenges in development of therapeutic and diagnostic application for SARS-CoV2 detection 6. Available drugs for treatment of SARS-CoV2 and their side effects 7. Genomic and proteomic targets for development of drugs to combat pandemic 8. The classical approaches for drug design and development 9. Natural products as a therapy to combat against SARS-COV2 virus infection 10. Support of computational methods to design and develop therapies 11. Computational methods for optimizing drugs and delivery methods to manage COVID-19 pandemic 12. Pharmacophore mapping and modelling approaches for drug development 13. Quantitative structure activity relationship based computational approaches 14. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing 15. Computational approaches for drug repositioning and repurposing to combat SARS-CoV2 infection 16. Network biology and system biology based computational approaches for drug repositioning 17. Databases, drug bank and virtual screening platforms for therapeutic development 18. Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) assessment of drugs using computational tools 19. Immuno-informatics and reverse vaccinomic approaches for effective vaccine design 20. Artificial Intelligence based drug screening and repurposing tools and their application in present scenario 21. Machine learning and deep learning-based AI tools for development of diagnostic tools 22. Role and development of artificial intelligence-based smartphone apps for point-of-care coronavirus infection diagnostics 23. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection 24. Clinically available/ under trial drugs and vaccines for treatment of SARS-CoV-2 25. Present and Future challenges in therapeutic designing using computational approaches 26. AI enabled IoT in covid-19 detection and monitoring entire digital healthcare 27. Remote monitoring and management in vitro diagnostic (IVD) devices as fixed assets 28. Predict potential downtime of any IVD solutions deployed in a customer's clinical setting 29. Recommendation systems for the best IVD solution for a customer's needs 30. Digital healthcare data visualization and analytics for better decision-making
1. Overview of coronavirus pandemic 2. Epidemiology and pathogenesis of novel coronavirus (SARS-COV-2) 3. The Global impact of pandemic on world economy and public health response 4. Genomic, proteomic and metabolomic profiling of SARS-CoV2 5. Current Challenges in development of therapeutic and diagnostic application for SARS-CoV2 detection 6. Available drugs for treatment of SARS-CoV2 and their side effects 7. Genomic and proteomic targets for development of drugs to combat pandemic 8. The classical approaches for drug design and development 9. Natural products as a therapy to combat against SARS-COV2 virus infection 10. Support of computational methods to design and develop therapies 11. Computational methods for optimizing drugs and delivery methods to manage COVID-19 pandemic 12. Pharmacophore mapping and modelling approaches for drug development 13. Quantitative structure activity relationship based computational approaches 14. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing 15. Computational approaches for drug repositioning and repurposing to combat SARS-CoV2 infection 16. Network biology and system biology based computational approaches for drug repositioning 17. Databases, drug bank and virtual screening platforms for therapeutic development 18. Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) assessment of drugs using computational tools 19. Immuno-informatics and reverse vaccinomic approaches for effective vaccine design 20. Artificial Intelligence based drug screening and repurposing tools and their application in present scenario 21. Machine learning and deep learning-based AI tools for development of diagnostic tools 22. Role and development of artificial intelligence-based smartphone apps for point-of-care coronavirus infection diagnostics 23. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection 24. Clinically available/ under trial drugs and vaccines for treatment of SARS-CoV-2 25. Present and Future challenges in therapeutic designing using computational approaches 26. AI enabled IoT in covid-19 detection and monitoring entire digital healthcare 27. Remote monitoring and management in vitro diagnostic (IVD) devices as fixed assets 28. Predict potential downtime of any IVD solutions deployed in a customer's clinical setting 29. Recommendation systems for the best IVD solution for a customer's needs 30. Digital healthcare data visualization and analytics for better decision-making
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