Titlebook: Advances in Antiviral Research; Naveen Kumar,Yashpal Singh Malik,Sayeh Ezzikouri Book 2024 The Editor(s) (if applicable) and The Author(s)

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In Vitro and in Vivo Evaluation Tools of SARS-CoV-2 Antiviral Drugs,smotic release of arginine vasopressin (AVP) and onset of thirst during hyperosmotic conditions such as dehydration, and that these differences are primarily driven by estradiol. With respect to temperature regulation, progesterone increases core temperature and delays the threshold for the onset of

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A High-Throughput Computational Pipeline for Selection of Effective Antibody Therapeutics Against V978-3-319-49322-0

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Alberto Bernardini,Fulvio Tononbility. The way we identify and create new antiviral treatments may be completely changed by the use of machine learning in the field of antiviral design. In this chapter, we outline various machine learning tools that are being used in the field of computer-aided drug design with specific examples.

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https://doi.org/10.1007/978-3-319-72947-3antiviral investigations conducted using different organoids. Finally, the limitations of organoids in biomedical research in general and antiviral research in particular are also discussed, where we also identify critical areas for organoids improvement in the upcoming years.