Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate Sars-Cov2 Infection

Revolutionary Strategies to Combat Pandemics
Herausgeber: Parihar, Arpana; Gohel, Hardik; Kaushik, Ajeet Kumar; Kumar, Ashok; Khan, Raju

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science & Technology
• Seitenzahl: 618
• Erscheinungstermin: 14. Juli 2022
• Englisch
• Abmessung: 193mm x 236mm x 42mm
• Gewicht: 1328g
• ISBN-13: 9780323911726
• ISBN-10: 0323911722
• Artikelnr.: 63121427

Inhaltsangabe

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