Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate Sars-Cov2 Infection
Revolutionary Strategies to Combat Pandemics
Herausgeber: Parihar, Arpana; Gohel, Hardik; Kaushik, Ajeet Kumar; Kumar, Ashok; Khan, Raju
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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 infec...
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.
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