Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection 1st Edition
$25.00
Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780323998000,9780323911726,0323998003,0323911722
Product details:
- ISBN-10: 0323998003
- ISBN-13: 9780323998000
- Author: Ajeet Kumar Kaushik, Arpana Parihar, Ashok Kumar, Hardik Gohel, Raju Khan
Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics compiles information about various computational bioinformatic approaches that can help combat viral infection. The book includes working knowledge of various molecular docking and molecular dynamic simulation approaches that have been exploited for drug repurposing and drug designing purpose. In addition, it sheds light on reverse vaccinomics and immunoinformatic approaches for vaccine designing against SARS-CoV2 infection.
Table contents:
Chapter 1. Overview of coronavirus pandemic
Chapter 2. Epidemiology, transmission and pathogenesis of SARS-CoV-2
Chapter 3. The global impact of pandemics on world economy and public health response
Chapter 4. Genomic, proteomic and metabolomic profiling of severe acute respiratory syndrome-Coronavirus-2
Chapter 5. Currently available drugs for the treatment of Coronavirus-2
Chapter 6. Holistic strategies to mitigate the economic, societal, and health burden of the Coronavirus disease-2019 pandemic
Chapter 7. Natural products as a therapy to combat against SARS-CoV-2 virus infection
Chapter 8. Advanced high-throughput biosensor-based diagnostic approaches for detection of severe acute respiratory syndrome-coronavirus-2
Chapter 9. Pharmacophore mapping and modeling approaches for drug development
Chapter 10. Quantitative structure–activity relationship-based computational approaches
Chapter 11. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2
Chapter 12. Computational approaches for drug repositioning and repurposing to combat SARS-CoV-2 infection
Chapter 13. System and network biology-based computational approaches for drug repositioning
Chapter 14. Databases, DrugBank, and virtual screening platforms for therapeutic development
Chapter 15. Absorption, distribution, metabolism, excretion, and toxicity assessment of drugs using computational tools
Chapter 16. Immunoinformatics and reverse vaccinomic approaches for effective design
Chapter 17. Artificial intelligence-based drug screening and drug repositioning tools and their application in the present scenario
Chapter 18. Machine Learning and Deep Learning based AI Tools for Development of Diagnostic Tools
Chapter 19. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection
Chapter 20. Clinically available/under trial drugs and vaccines for treatment of SARS-COV-2
Chapter 21. Present and future challenges in therapeutic designing using computational approaches
Chapter 22. Digital healthcare data management using blockchain technology in genomics and COVID-19
Chapter 23. Prediction of drug–target interaction —a helping hand in drug repurposing
Chapter 24. Artificial intelligence methods to repurpose and discover new drugs to fight the Coronavirus disease-2019 pandemic
Chapter 25. Severe acute respiratory syndrome coronavirus-2: An era of struggle and discovery leading to the emergency use authorization of treatment and prevention measures based on computational analysis
People also search:
computational approach
novel approaches
computational approach example
a computational approach to statistical learning
a computational approach to early sepsis detection
novel therapeutic strategies
You may also like…
Fiction - Literary Fiction
Computers - Computers - General & Miscellaneous
Computers - Artificial Intelligence (AI)
Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems 1st Edition
