Delora Baptista

The paper uses AlphaFold to predict structures of host-pathogen PPIs, revealing molecular mimicry modes and convergent evolution of interaction interfaces.

The paper constructs a tissue-specific protein interaction atlas using proteomic data from 11 human tissues, identifying key drivers of inter-tissue variation and prioritizing disease genes in brain disorders.

This study evaluates deep learning methods for predicting drug synergy in cancer by testing different architectures, data types, and feature selection strategies.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.