Filipa Blasco Tavares Pereira Lopes

scProfiterole: Clustering of Single-Cell Proteomic DataUsing Graph Contrastive Learning via Spectral Filters

The paper introduces scProfiterole, a framework for clustering single-cell proteomic data using graph contrastive learning with spectral filters, showing improved cell type identification.

Exhaustion profile on classical monocytes after LPS stimulation in patients with Crohn's disease.

The paper examines monocyte subsets in Crohn's disease patients, finding classical monocytes show an exhaustion profile with increased CD38 and reduced IL-1β production after LPS stimulation.

Exploring Temporal and Sex-Linked Dysregulation in Alzheimer's Disease Phospho-Proteome

This study analyzes phosphoproteome dysregulation in 5XFAD mice, identifying sex-specific and temporal patterns, novel biomarkers, and a key kinase pathway involved in Alzheimer's disease progression.

Making Proteomics Accessible: RokaiXplorer for interactive analysis of phospho-proteomic data

RokaiXplorer provides an intuitive web tool for phospho-proteomic data analysis and visualization, offering multiple functionalities and interactive features for researchers without specialized training.

Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites

The paper develops NetKSA, a network-based machine learning framework to predict kinase-substrate associations, outperforming existing methods and enabling annotation of phosphosites targeted by less-studied kinases.