Titlebook: Global Virology III: Virology in the 21st Century; Paul Shapshak,Seetharaman Balaji,John T. Sinnott Book 2019 Springer Nature Switzerland

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A Combinatorial Computational Approach for Drug Discovery Against AIDS: Machine Learning and Proteo, we have focused on some of the machine learning techniques in the context of viral disease. In brief, machine learning methods have great potential in drug discovery, drug repurposing, and in precision medicine.

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Applications of Artificial Intelligence and Machine Learning in Viral Biology,ge, novel tools for phenomenological and data driven modelling approaches are needed. This need has spurred initiation of a lot of rigorous efforts and has resulted in development of robust artificial intelligence (AI) and machine learning (ML) based models. While these paradigms individually and in

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Emerging Technologies for Antiviral Drug Discovery,l drugs is still a huge challenge. Increased viral outbreaks during the last several decades necessitate novel methods in combating them. The application of classical drug discovery approaches, supported by emerging technologies such as high performance computing (HPC) aided molecular geometric opti

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Wavelet-based Multifractal Spectrum Estimation in Hepatitis Virus Classification Models by Using Arch geometries rests on the estimation of fractal features. Within this framework, various methods have been proposed for the estimation of the multifractal spectral or fractal dimension of a particular signal. Wavelet transform modulus maxima (WTMM) is one of the methods employed for the detection o

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Artificial Life and Therapeutic Vaccines Against Cancers that Originate in Viruses,eir origin in infectious processes caused by viruses, requires research on three fronts. On the one hand, to know the life cycle of the virus under study, as well as to recognize the mechanisms and strategies that it can implement to attack its host and proceed to infect it. On the other hand, to ac