Titlebook: Current Trends in Computational Modeling for Drug Discovery; Supratik Kar,Jerzy Leszczynski Book 2023 The Editor(s) (if applicable) and Th

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https://doi.org/10.1007/978-3-658-10567-9r dynamics, integrated structure- and network-based approach, Drug–target–drug network-based approach, etc. In conclusion, this work will be helpful for the researchers in examining antivirals against NiV.

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https://doi.org/10.1007/978-3-658-10567-9thus can efficiently be used for data gap filling. The authors at the DTC Laboratory have developed a Java-based Read-Across tool (.) which utilizes three different similarity-based approaches (Euclidean Distance-based, Gaussian Kernel Similarity-based and Laplacian Kernel Similarity-based) for the

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SBDD and Its Challenges,, novel, potent, and safe modulators. It is a joint effort from structural biologists and computational scientists, which considers various limitations of the techniques and suitably guides drug designers. Identifying a novel, potent, and safe drug-like molecule is a long challenging path, and throu

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Targeted Computational Approaches to Identify Potential Inhibitors for Nipah Virus,igh fatality rate. With time, the world has faced numerous outbreaks in various regions such as Malaysia, Bangladesh, Philippines, and India. In this chapter, we have summarized experimentally tested antivirals and computational approaches to predict potential inhibitors against NiV. Various studies