vlcvirus- In-silico identification of subunit vaccine candidates against lung cancer-associated oncogenic viruses

VLCvirus: Subunit Vaccine Candidates Against Lung Cancer Viruses 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. The database integrates data from: 9 Oncogenic Virus Species: Including HPV, HBV, RSV, STLV, BLV, HTLV, EBV, Measles virus, and JC virus. Reference Proteomes: Systematically analyzed 945 proteins from 100 standard viral reference proteomes extracted via UniProt.