Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection
Revolutionary Strategies to Combat Pandemics
- 1st Edition - July 13, 2022
- Latest edition
- Editors: Arpana Parihar, Raju Khan, Ashok Kumar, Ajeet Kumar Kaushik, Hardik A. Gohel
- Language: English
Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics compiles information about var… Read more
Description
Description
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.
This book is an essential resource for researchers, bioinformaticians, computational biologists, computational chemists and pharmaceutical companies who are working on the development of effective and specific therapeutic interventions and point-of-care diagnostic devices using various computational approaches.
Key features
Key features
- Covers computational based approaches for designing and repurposing drugs
- Discusses immunoinformatic and reverse vaccinomic approaches for effective vaccine design
- Categorizes information about artificial intelligence-based drug screening and diagnostic tools
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: July 13, 2022
- Language: English
About the editors
About the editors
AP
Arpana Parihar
RK
Raju Khan
Raju Khan is a Senior Principal Scientist and Professor, at CSIR-Advanced Materials and Processes Research Institute, Bhopal. He did his PhD in Chemistry in 2005 from Jamia Millia Islamia, Central University, New Delhi, and Postdoctoral researcher at the “Sensor Research Laboratory” University of the Western Cape, Cape Town. His current research involved synthesizing novel materials to fabricate electrochemical and fluorescence-based biosensors integrated with microfluidics to detect target disease risk biomarkers for health care monitoring. He has published over 150 papers in SCI journal, which attracted over 5500 citations as per Google Scholar, published 45 book chapters in the reputed book Elsevier and Taylor Francis, editing of 28 books from Elsevier and Taylor Francis, and his research has been highlighted in Nature India. He has supervised 5 PhD and 30 undergraduate/postgraduate theses and has supervised 4 numbers of postdoctoral fellows under the scheme of N-PDF, CSIR-Nehru Fellowship, and DST-Women Scientist Projects.
AK
Ashok Kumar
AK
Ajeet Kumar Kaushik
Dr. Ajeet Kaushik is an Associate Professor of Chemistry at the Department of Chemistry, at Florida Polytechnic University, Florida, United States, as well as an ICS Fellow and Fulbright Specialist. Currently he is exploring nano-enabled technologies for health and environmental monitoring. He has authored or co-authored over 350 publications, published 14 edited books, and has 4 patents, as well as various other editorial roles and international collaborations. Dr. Kaushik’s research interests include green chemistry, catalysis, drug delivery systems, electrochemistry, sensors, and point-of-care sensing for sustainable health and the environment.
HG
Hardik A. Gohel
Dr. Hardik A. Gohel is a Professor and Founding Director of the Applied AI Research Laboratory at Texas A&M University–Victoria, United States. He is also a principal investigator in multi-year funded projects with the Department of Defense and the Department of Energy. His research expertise spans artificial intelligence, cybersecurity, digital health, and advanced computing. Dr. Gohel has also been conference general chair of the IEEE conferences on AI in cybersecurity, and on generative AI for secure systems.