Julio Vera

The paper identifies miRNAs regulated by SOX10 depletion in uveal melanoma and shows their role in tumor-suppressive pathways.

The paper identifies E2F transcription factors as potential druggable targets in uveal melanoma by analyzing SOX10's role and its downstream effects.

The paper constructs a molecular interaction map of colorectal cancer, identifies disease signatures, and predicts therapeutic targets through simulation and validation.

The paper identifies Clindamycin as a potential inhibitor of pyroptosis in tumor-associated macrophages by integrating network biology and pharmacophore modeling.

This paper reviews the interplay between SOX10 and microRNAs in melanoma, identifying key network motifs and their role in regulating tumor plasticity and therapy resistance.

ENQUIRE reconstructs and expands context-specific co-occurrence networks from biomedical literature to identify gene interactions and pathways relevant to specific topics.

The paper presents a computational pipeline that combines machine learning and network analysis to predict self-tolerant tumor-associated antigens for immunotherapy in uveal melanoma.

The paper integrates transcriptomics data into agent-based models of cancer to identify therapy resistance scenarios.

The paper uses single-cell transcriptomics to study the transcriptional changes during oligodendrocyte generation from adult neural stem cells in the SVZ, identifying key regulatory mechanisms and signaling pathways involved.

The paper identifies miRNAs that enhance dendritic cell immunogenicity using RNA sequencing and systems biology, and provides a database for therapeutic miRNA-gene interactions.

FPtool provides a preliminary genotype-phenotype fingerprint of mathematical models by comparing two biological scenarios, validated on a lung legionella infection model.