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Fr. 190.00
Arpana Parihar, Arpana (DST-Women Scientist B Parihar, Arpana (Industrial Waste Utilization Parihar, Hardik Gohel, Hardik (Assistant Professor of Computer Science Gohel, Ajeet Kumar Kaushik...
Computational Approaches for Novel Therapeutic Diagnostic Designing - Revolutionary Strategies to Combat Pandemics
English · Paperback / Softback
Shipping usually within 3 to 5 weeks
Description
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.
List of contents
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
About the author
Arpana Parihar is a DST Scientist B at CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal, India. She has 8 years of research and teaching experience and her current research interests include fabrication (Micro/Nano-fabrication) of Bio-devices/bio-medical POCT Devices for early diagnosis of cancer and infectious disease. She has gained significant expertise in the field of 3D cell culture, drug designing, tissue engineering, photodynamic therapy, molecular dynamic simulations, and immunoinformatics.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.
Dr. Ashok Kumar is currently working as an Associate Professor in the Department of Biochemistry of All India Institute of Medical Sciences Bhopal. His current research interest is understanding the role of non-coding RNAs and sphingosine-1-phosphate signaling in Head and Neck Cancer. He received his PhD degree from Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS) Lucknow, India. Then, he received postdoctoral training from UCSFBenioff’s Children’s Hospital Oakland & Research Centre, Oakland, CA, USA. Dr. Ashok Kumar’s major area of research work are Cell & Molecular Biology, Cancer Biology, Immunology & Sphingolipid signaling. He has more than 15 years of research experience. He has published more than 50 research articles and 10 book chapters and he has edited two books. He is a member of several international professional societies including American Association of Cancer Research and Fellow of Royal Society of BiologyDr. Ajeet Kaushik is Associate Professor at the NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, USA. He is the recipient of various reputed awards for his service in the area of nano-biotechnology for health care. He has edited seven books, written more than 100 international research peer reviewed publications, and has three patents in the area of nanomedicine and smart biosensors for personalized health care. In the course of his research, Dr. Kaushik has been engaged in the design and development of various electro-active nanostructures for electrochemical biosensor and nanomedicine for health care. His research interests include nanobiotechnology, analytical systems, design and develop nanostructures, nano-carries for drug delivery, nano-therapeutics for CNS diseases, on-demand site-specific release of therapeutic agents, exploring personalized nanomedicines, biosensors, point-of-care sensing devices, and related areas of health care monitoring.
Dr. Hardik A. Gohel is an Associate Director and Assistant Professor of Computer Science at University of Houston-Victoria (UHV) joined in August 2019. He received his Ph.D. in Computer Science from University of Hertfordshire, Hatfield, England in 2015. He worked in Florida International University (FIU) as a postdoc from October 2016 to July 2019. His research interest includes Artificial Intelligence, Cybersecurity, Digital Health, Virtualization, and Social Media. He is also working on how to prepare quality diversified workforce with artificial intelligence in science, technology, engineering and mathematics (STEM) education. He has published books, book chapters, and many articles in peer reviewed journal and conferences. His research projects have involved cyber test automation and monitoring, smart bandages for wound monitoring, bigdata for security intelligence, trustworthy cyberspace for security and privacy of social media, predictive maintenance for nuclear infrastructure, and database and mobile forensics infrastructure. He is interested to design and develop robust artificial intelligence and cybersecurity solutions to make human life better. Dr. Gohel is actively working with United States Federal funding agencies and national labs for research collaborations. He is also interested in linkages, and MOUs with government, academia and industry to foster individual and institutional partnerships in a natural and sustainable manner.
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