Kathy Y. Wei

This paper introduces MP4, a transformer-based model that translates natural language into functional de novo proteins, achieving high performance in sequence realism, fold quality, and function alignment.

The paper introduces TaxoFormer, a hierarchical transformer model that predicts the full taxonomic lineage of protein sequences using a structured tokenization scheme and achieves accurate lineage prediction on a large dataset.

This paper develops machine learning models to predict antibody thermostability using sequence and structure features, showing better generalization with a CNN over pre-trained language models.