Mei Lang

EukaUTR is a foundation model for eukaryotic 3' UTRs that predicts function and generates new sequences with regulatory properties.

CodonMamba is a foundation model for mRNA coding sequence design that achieves state-of-the-art performance and enables programmable codon optimization through inference-time steering.

UTRGen is a unified framework for designing mRNA 5' UTRs that integrates sequence generation, prediction, and function-guided optimization, achieving state-of-the-art performance across multiple tasks.

This paper introduces an RNA language model based on multiple sequence alignment, showing it can accurately predict RNA structure from sequence data.

This study evaluates deep learning models for RNA base-pairing prediction, showing that SPOT-RNA can accurately predict RNA-RNA interactions in unseen structures and without monomeric structures.