Ronald J. Hause

Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARs

Helix predicts A-to-I RNA editing by ADARs with high accuracy using a structure-aware transformer model, enabling efficient gRNA design for therapeutic applications.

Generative machine learning of ADAR substrates for precise and efficient RNA editing

This paper develops DeepREAD, a generative model for designing ADAR guide RNAs to enable efficient and specific RNA editing for therapeutic applications.

Multiplex Assessment of Protein Variant Abundance by Massively Parallel Sequencing

This paper introduces VAMP-seq, a method to assess the abundance of protein variants, and identifies pathogenic variants in PTEN and TPMT.

Single-cell sequencing reveals αβ chain pairing shapes the T cell repertoire

This study uses single-cell sequencing to analyze T cell receptor pairing, finding non-random β chain associations and public clone sharing, which reduce T cell repertoire diversity.

Using Large-Scale Mutagenesis To Guide Single Amino Acid Scanning Experiments

The paper analyzes 34,373 mutations across fourteen proteins to evaluate if alanine substitutions are optimal for identifying functionally important positions, finding that histidine and asparagine are better in many cases.