Bepler, Tristan

Learning the protein language: Evolution, structure, and function

Bepler, T., & Berger, B. (2021) · Cell Systems

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 483

Learning protein sequence embeddings using information from structure

Bepler, T., & Berger, B. (2019) · arXiv

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 219

Visualization of clustered protocadherin neuronal self-recognition complexes

Brasch, J., Goodman, K. M., Noble, A. J., Rapp, M., Mannepalli, S., Bahna, F., Dandey, V. P., Bepler, T., Berger, B., Maniatis, T., et al. (2019) · Nature

Axon Guidance and Neuronal SignalingNeuroscience and Neuropharmacology Research

Cited by 99

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries

Li, L., Gupta, E., Spaeth, J., Shing, L., Jaimes, R., Engelhart, E., Lopez, R., Caceres, R. S., Bepler, T., & Walsh, M. E. (2023) · Nature Communications

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 96

Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries

Li, L., Gupta, E., Spaeth, J., Shing, L., Jaimes, R., Caceres, R. S., Bepler, T., & Walsh, M. E. (2022) · Nature Communications

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 96