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sudhanshus-hash/ViralVacDB: v1

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DataCite Commons2026-05-06 更新2026-05-07 收录
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https://zenodo.org/doi/10.5281/zenodo.20052781
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资源简介:
Welcome to the official repository and documentation overview for the VLCvirus, a comprehensive web resource dedicated to the in-silico identification of subunit vaccine candidates against major lung cancer-causing oncogenic viruses. This resource provides researchers with systematically identified, highly immunogenic, and safe epitope-based vaccine candidates to aid in lung cancer immunotherapeutics. Web Server: https://webs.iiitd.edu.in/raghava/vlcvirus/ Citation Lathwal, A., Kumar, R., & Raghava, G. P. S. (2021). In-silico identification of subunit vaccine candidates against lung cancer-associated oncogenic viruses. Computers in Biology and Medicine, 130, 104215. https://doi.org/10.1016/j.compbiomed.2021.104215 About the Database VLCvirus provides computationally validated, epitope-based subunit vaccine candidates utilizing a reverse vaccinology approach. The database focuses on predicting specific pathogenic components capable of inducing both humoral and cell-mediated immunity without triggering a self-immune response.
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Zenodo
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2026-05-06
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