Prediction of cross-species infection propensities of viruses with receptor similarity.

ABSTRACT: Studies of host factors that affect susceptibility to viral infections have led to the possibility of determining the risk of emerging infections in potential host organisms. In this study, we constructed a computational framework to estimate the probability of virus transmission between potential hosts based on the hypothesis that the major barrier to virus infection is differences in cell-receptor sequences among species. Information regarding host susceptibility to virus infection was collected to classify the cross-species infection propensity between hosts. Evolutionary divergence matrices and a sequence similarity scoring program were used to determine the distance and similarity of receptor sequences. The discriminant analysis was validated with cross-validation methods. The results

SUBMITTER: Cho M 

PROVIDER: S-EPMC7106226 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature