Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection
Revolutionary Strategies to Combat Pandemics
- 1st Edition - July 14, 2022
- Latest edition
- Editors: Arpana Parihar, Raju Khan, Ashok Kumar, Ajeet Kumar Kaushik, Hardik 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
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.
- 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
Pharma academics and researchers, computational biologists, computational chemists, bioinformaticians, biomedical engineer, pharmaceutical companies, analytical chemist and academic institutes. Pharmaceutical companies for development of novel therapeutic applications
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
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
- Edition: 1
- Latest edition
- Published: July 14, 2022
- Language: English
AP
Arpana Parihar
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.
Affiliations and expertise
Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced, Materials and Processes, Research Institute (AMPRI), Bhopal, Madhya, Pradesh, IndiaRK
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.
Affiliations and expertise
Senior Principal Scientist & Professor, CSIR-Advanced Materials & Processes Research Institute, Bhopal, Madhya Pradesh, IndiaAK
Ashok Kumar
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 Biology
Affiliations and expertise
Associate Professor, Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), Bhopal, MP, IndiaAK
Ajeet Kumar Kaushik
Dr. 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.
Affiliations and expertise
Associate Professor of Chemistry, NanoBioTech Laboratory, Health System Engineering, Department of Environmental Engineering, Florida Polytechnic University, USAHG
Hardik Gohel
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.
Affiliations and expertise
Assistant Professor of Computer Science, Director of Applied AI Research Lab, University of Houston-Victoria, USARead Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection on ScienceDirect