Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics

Arpana Parihar , Raju Khan , Ashok Kumar , Ajeet Kumar Kaushik , Hardik Gohel 지음

elsevier 2022년 07월 20일 출간

작품소개

책소개

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

목차

1. Overview of coronavirus pandemic2. Epidemiology and pathogenesis of novel coronavirus (SARS-COV-2)3. The Global impact of pandemic on world economy and public health response4. Genomic, proteomic and metabolomic profiling of SARS-CoV25. Current Challenges in development of therapeutic and diagnostic application for SARS-CoV2 detection6. Available drugs for treatment of SARS-CoV2 and their side effects7. Genomic and proteomic targets for development of drugs to combat pandemic8. The classical approaches for drug design and development9. Natural products as a therapy to combat against SARS-COV2 virus infection10. Support of computational methods to design and develop therapies11. Computational methods for optimizing drugs and delivery methods to manage COVID-19 pandemic12. Pharmacophore mapping and modelling approaches for drug development13. Quantitative structure activity relationship based computational approaches14. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing15. Computational approaches for drug repositioning and repurposing to combat SARS-CoV2 infection16. Network biology and system biology based computational approaches for drug repositioning17. Databases, drug bank and virtual screening platforms for therapeutic development18. Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) assessment of drugs using computational tools19. Immuno-informatics and reverse vaccinomic approaches for effective vaccine design20. Artificial Intelligence based drug screening and repurposing tools and their application in present scenario21. Machine learning and deep learning-based AI tools for development of diagnostic tools22. Role and development of artificial intelligence-based smartphone apps for point-of-care coronavirus infection diagnostics23. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection

작가정보

저자(글) Arpana Parihar

저자(글) Raju Khan

저자(글) Ashok Kumar

저자(글) Ajeet Kumar Kaushik

저자(글) Hardik Gohel

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