About this Research Topic
RNA viruses, constituting a substantial fraction of emerging infections, pose persistent threats to animal and human health. The dynamic nature of RNA viruses, characterized by constant evolution, often accelerated through host exchanges, gives rise to novel variants, which can affect the immune response. This Research Topic addresses the pressing need to enhance our understanding of RNA viral infections by exploring the intersection of immunology and computational biology. The focus of the Research Topic is on studies that leverage data science and immunological insights; the aim is to unravel the complexities of viral genomics, proteomics, host-virus interactions, immune responses, immune evasion, viral evolution, and the development of antiviral strategies to ensure effective immunity.
The primary goal of this Research Topic is to showcase the synergy between computational virology and immunology, shedding light on the intricacies of RNA viruses. By incorporating innovative methodologies such as bioinformatics tools, machine learning algorithms, network analysis, and modeling approaches, we seek to advance knowledge on viral pathogenesis and host immune responses. Furthermore, the overarching objective is to facilitate the development of effective antiviral strategies, contributing to ongoing drug discovery and vaccine development efforts. This initiative aims to create a platform for researchers to share cutting-edge research, methodologies, and applications, fostering collaboration and propelling future advancements in virus research.
We welcome contributions which delve into diverse topics within computational virology and immunology, encompassing viral genomics, proteomics, host-virus interactions, immune responses, viral evolution, entire-species transmission, drug discovery, and vaccine development. This Research Topic presents a unique opportunity for researchers to contribute their cross-disciplinary and innovative studies, enriching our understanding of the intricate biology of RNA viruses. We are interested in Original Research, Perspective, Review, Systematic Review, Case Report, Hypothesis & Theory, Methods, Mini Review, Technology and Code articles, focusing on, but not limited to, the following areas:
• Innovative computational methodologies, bioinformatics tools, machine learning algorithms, network analysis, and modeling approaches to study host immune responses to RNA viruses.
• Basic and translational studies on immunological aspects of viruses of human health and veterinary importance.
• Studies that delve into the drivers of interspecies transmission, immune evasion, pathogenesis and evolutionary dynamics of these viruses.
The primary goal of this Research Topic is to showcase the synergy between computational virology and immunology, shedding light on the intricacies of RNA viruses. By incorporating innovative methodologies such as bioinformatics tools, machine learning algorithms, network analysis, and modeling approaches, we seek to advance knowledge on viral pathogenesis and host immune responses. Furthermore, the overarching objective is to facilitate the development of effective antiviral strategies, contributing to ongoing drug discovery and vaccine development efforts. This initiative aims to create a platform for researchers to share cutting-edge research, methodologies, and applications, fostering collaboration and propelling future advancements in virus research.
We welcome contributions which delve into diverse topics within computational virology and immunology, encompassing viral genomics, proteomics, host-virus interactions, immune responses, viral evolution, entire-species transmission, drug discovery, and vaccine development. This Research Topic presents a unique opportunity for researchers to contribute their cross-disciplinary and innovative studies, enriching our understanding of the intricate biology of RNA viruses. We are interested in Original Research, Perspective, Review, Systematic Review, Case Report, Hypothesis & Theory, Methods, Mini Review, Technology and Code articles, focusing on, but not limited to, the following areas:
• Innovative computational methodologies, bioinformatics tools, machine learning algorithms, network analysis, and modeling approaches to study host immune responses to RNA viruses.
• Basic and translational studies on immunological aspects of viruses of human health and veterinary importance.
• Studies that delve into the drivers of interspecies transmission, immune evasion, pathogenesis and evolutionary dynamics of these viruses.
Keywords: RNA viruses, virology, computational biology, genomics, proteomics, drug discovery, vaccine development, bioinformatics, machine learning algorithms, network analysis, modeling approaches, viral pathogenesis, host response, antiviral strategies
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
