Samir Char

Protein language models and the long tail of functional diversity

The paper examines the role of singleton protein sequences in training protein language models, finding they contain valuable functional diversity and should be included in training.

The Dayhoff Atlas: scaling sequence diversity for improved protein generation

The paper introduces the Dayhoff Atlas, a resource with large protein sequence datasets and generative models to improve protein design and prediction.

ProtNote: a multimodal method for protein-function annotation

ProtNote is a multimodal deep learning model that enables supervised and zero-shot protein function prediction using free-form text inputs, generalizing to unseen functions.