Narcís Fernández‐Fuentes

ModCRE-NN predicts transcription factor DNA-binding motifs by integrating structural and evolutionary data, showing improved performance under low similarity and uncertainty.

ModCRElib is a package for modeling cis-regulatory elements, offering tools for TF-DNA interaction analysis, binding motif prediction, and regulatory complex modeling.

The paper identifies a 127-gene core network in human astrocytes linking aging to neurodegenerative and cardiovascular diseases through proteostasis and stress signaling.

This paper develops and validates a dual-targeting CAR-T cell therapy for T-ALL that targets CCR9 and CD1a, showing improved efficacy and safety compared to single-targeting approaches.

This study identifies that the costimulatory domain of CD19-CAR-T cells influences resistance development in B-cell malignancies by affecting CD19 loss and antigen escape.

The paper introduces a structure-based learning approach to predict TF binding preferences and model TF regulatory complexes, demonstrating its effectiveness over existing methods in cases of remote homology.

RADI improves the computational efficiency of direct-coupling analysis by reducing the alphabet size, achieving faster execution with comparable or better accuracy than traditional methods.

This study identifies genes and molecular responses associated with aluminium tolerance in Brachiaria grasses using a new reference genome and QTL analysis.

The paper develops a computational method to predict DNA-binding preferences of C2H2-ZF domains using structural models and applies it to predict CTCF's binding sites.

The paper introduces PepI-Covid19, a database of peptides targeting SARS-CoV-2 RBD-ACE2 interaction, designed using PiPreD method to preserve key interactions.

The paper uses TPMS to model drug mechanisms and identify biomarkers linked to macular degeneration as an adverse effect of heart failure treatment with sacubitril/valsartan.