Jeffrey A. Ruffolo
Joint BioEnergy Institute(US)
Publications by Year
Research Areas
Monoclonal and Polyclonal Antibodies Research, RNA and protein synthesis mechanisms, Glycosylation and Glycoproteins Research, Machine Learning in Bioinformatics, vaccines and immunoinformatics approaches
Most-Cited Works
- → ProGen2: Exploring the boundaries of protein language models(2023)381 cited
- → Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies(2023)291 cited
- → Antibody structure prediction using interpretable deep learning(2021)205 cited
- → IgLM: Infilling language modeling for antibody sequence design(2023)110 cited
- → Deciphering antibody affinity maturation with language models and weakly supervised learning(2021)91 cited
- → Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences(2024)84 cited
- → Designing proteins with language models(2024)83 cited
- → Geometric potentials from deep learning improve prediction of CDR H3 loop structures(2020)78 cited
- → Design of highly functional genome editors by modelling CRISPR–Cas sequences(2025)51 cited