Jonah Z. Vilseck

The paper investigates how EXOSC3 p.G191 variants affect RNA processing by analyzing transcriptomic, proteomic, and structural data in human cell models.

This paper uses {lambda}-dynamics to predict RNA binding preferences of human Pumilio, including modified RNAs, showing high accuracy compared to experimental data.

This study compares two charge-change correction strategies for {lambda}-dynamics free energy calculations, finding that a simplified AC approach is more generalizable than CI for protein mutations.

The paper investigates how EXOSC3 S1-domain variants disrupt RNA exosome function, leading to altered rRNA processing and mRNA targeting.

This paper uses in silico λ-dynamics to predict antibody binding specificities to RNA modifications, showing high agreement with experimental results.

This paper uses {lambda}-dynamics to compute binding free energies of insulin variants with A3 mutations, showing high agreement with experimental data and revealing structural changes in insulin-IR interactions.

This paper introduces TeMPP, a method using mass spectrometry to analyze the impact of missense mutations on protein stability and interactions, revealing mechanistic insights not obtainable through transcriptome or proteome analysis alone.