Aiping Wu

This paper develops FutureFlu, a framework to predict influenza vaccine strains by quantifying viral fitness, showing improved accuracy compared to current methods.

This paper develops VIPA mRNA therapy, which uses viral protease-initiated pyroptosis to suppress viral replication and elicit immune responses in animal models.

This paper introduces PREDAC-Transformer, a deep learning framework that improves antigenic relationship prediction and identifies key amino acid sites driving influenza antigenic evolution.

vsRNAfinder identifies high-confidence viral small RNAs from sRNA-Seq data, outperforming existing methods in sensitivity.

This paper introduces PHP, a Gaussian model for predicting hosts of prokaryotic viruses in metagenomics, achieving higher accuracy than existing methods.

The paper predicts the receptorome for the human-infecting virome using a random-forest model and protein-protein interaction data, identifying 1380 human cell membrane proteins and 693 virus-specific receptors.