97 citations · 151 across the 4 of their papers we have counts for
4 papers
Function-Guided Conditional Generation Using Protein Language Models with Adapters
Jason Yang, Aadyot Bhatnagar, Jeffrey A. Ruffolo +1
The conditional generation of proteins with desired functions is a key goal for generative models. Existing methods based on prompting of protein language models (PLMs) can generat…
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
Alex Morehead, Jeffrey Ruffolo, Aadyot Bhatnagar +1
Generative models of macromolecules carry abundant and impactful implications for industrial and biomedical efforts in protein engineering. However, existing methods are currently…
ProGen2: Exploring the Boundaries of Protein Language Models
Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein +2
Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial intelligence-driven protein…
Deciphering antibody affinity maturation with language models and weakly supervised learning
Jeffrey A. Ruffolo, Jeffrey J. Gray, Jeremias Sulam
In response to pathogens, the adaptive immune system generates specific antibodies that bind and neutralize foreign antigens. Understanding the composition of an individual's immun…