Delora Baptista

AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry

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

An atlas of protein-protein associations of human tissues prioritizes candidate disease genes

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.

A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer

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

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

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.