DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes.

ABSTRACT:

Motivation

Infectious diseases caused by novel viruses have become a major public health concern. Rapid identification of virus-host interactions can reveal mechanistic insights into infectious diseases and shed light on potential treatments. Current computational prediction methods for novel viruses are based mainly on protein sequences. However, it is not clear to what extent other important features, such as the symptoms caused by the viruses, could contribute to a predictor. Disease phenotypes (i.e. signs and symptoms) are readily accessible from clinical diagnosis and we hypothesize that they may act as a potential proxy and an additional source of information for the underlying molecular interactions between the pathogens and hosts.

Results

We developed DeepViral, a de

SUBMITTER: Liu-Wei W 

PROVIDER: S-EPMC8428617 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature