Robert Fragoza

Integrating structural homology with deep learning to achieve highly accurate protein-protein interface prediction for the human interactome

The paper introduces PIONEER2, a method that improves protein-protein interface prediction by integrating structural homology and deep learning, outperforming AlphaFold3 in certain scenarios.

A Novel Engineered U7 Small Nuclear RNA Scaffold Greatly Increases in vitro and in vivo ADAR-Mediated Programmable RNA Base Editing

This paper develops a novel U7 snRNA scaffold that significantly enhances ADAR-mediated RNA base editing in vitro and in vivo, achieving up to 76% editing efficiency in mouse models.

In vivo versus in silico assessment of potentially pathogenic missense variants in human reproductive genes

The paper evaluates the functional impact of missense variants in human reproductive genes using mouse models and finds that many predicted pathogenic variants do not cause detectable phenotypes.

MLH1/3 variants causing aneuploidy, pregnancy loss, and premature reproductive aging

The paper identifies MLH1/3 variants in mice that cause reproductive defects, including subfertility and increased pregnancy loss due to meiotic abnormalities.

Variants in RABL2A causing male infertility and ciliopathy

The paper identifies two RABL2A variants causing male infertility and ciliopathies by combining in silico predictions, protein stability assays, and mouse modeling.

Interactome INSIDER: A Multi-Scale Structural Interactome Browser For Genomic Studies

The paper introduces Interactome INSIDER, a browser for genomic studies that provides predicted protein interaction interfaces and enables analysis of mutations in these interfaces.