Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection

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 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 approaches, Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection compiles the information about the various computational bioinformatic approaches which can further help to combat viral infection. This book includes working knowledge of various molecular docking and molecular dynamic simulation approaches which have been exploited for drug repurposing and dug designing purpose. It also 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 for the development of effective and specific therapeutic intervention and point of care diagnostic devices using various computational approaches. Covers both computational based approaches for designing and repurposing of drugs Discusses Immunoinformatic and reverse vaccinomic approaches for effective vaccine design Categorizes the information about artificial intelligence -based drug screening and diagnostic tools