A Genomic Model for Predicting the UltravioletSusceptibility of Viruses and Bacteria

摘要

A mathematical model is presented for the ultraviolet susceptibility of microbes based on evaluation of complete genomes. The genomes of 49 animal viruses and bacteriophages, and 33 bacteria, were analyzed using base-counting software to establish the frequencies of potential dimers. A total of 71 data sets represented 27 ssRNA viruses, while 77 data sets represented 22 dsDNA viruses, and 64 data sets represented the bacteria. UV susceptibility (D_(90) ) was correlated with the genomic model and produced R2 values of 79%, 87%, and 70% for RNA viruses, DNA viruses and bacteria respectively. Predictions of UV susceptibility are provided for dozens of microbes important to human health.