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Brian L Hie

Showing results (1-10 of 20) with videos related to

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Current Opinion in Structural Biology|December 13, 2021
Adaptive machine learning for protein engineeringBrian L Hie, Kevin K Yang
Current Opinion in Structural Biology|April 25, 2024
Generative artificial intelligence for de novo protein designAdam Winnifrith, Carlos Outeiral, Brian L Hie
Cell Systems|February 5, 2022
Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteinsBrian L Hie, Kevin K Yang, Peter S Kim
Genome Biology|May 4, 2021
Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalitiesRohit Singh, Brian L Hie, Ashwin Narayan, et al.
Proceedings of Machine Learning Research|November 27, 2025
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNNTalal Widatalla, Richard W Shuai, Brian L Hie, et al.
Nature|November 19, 2025
Semantic design of functional de novo genes from a genomic language modelAditi T Merchant, Samuel H King, Eric Nguyen, et al.
Nature Protocols|June 6, 2024
Scanorama: integrating large and diverse single-cell transcriptomic datasetsBrian L Hie, Soochi Kim, Thomas A Rando, et al.
Science (New York, N.Y.)|July 4, 2024
Unsupervised evolution of protein and antibody complexes with a structure-informed language modelVarun R Shanker, Theodora U J Bruun, Brian L Hie, et al.
Biorxiv : the Preprint Server for Biology|January 8, 2024
Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolutionVarun R Shanker, Theodora U J Bruun, Brian L Hie, et al.
European Journal of Clinical Investigation|February 21, 2024
Large language models for science and medicineAmalio Telenti, Michael Auli, Brian L Hie, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Current Opinion in Structural Biology|December 13, 2021
Adaptive machine learning for protein engineeringBrian L Hie, Kevin K Yang
Current Opinion in Structural Biology|April 25, 2024
Generative artificial intelligence for de novo protein designAdam Winnifrith, Carlos Outeiral, Brian L Hie
Cell Systems|February 5, 2022
Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteinsBrian L Hie, Kevin K Yang, Peter S Kim
Genome Biology|May 4, 2021
Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalitiesRohit Singh, Brian L Hie, Ashwin Narayan, et al.
Proceedings of Machine Learning Research|November 27, 2025
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNNTalal Widatalla, Richard W Shuai, Brian L Hie, et al.
Nature|November 19, 2025
Semantic design of functional de novo genes from a genomic language modelAditi T Merchant, Samuel H King, Eric Nguyen, et al.
Nature Protocols|June 6, 2024
Scanorama: integrating large and diverse single-cell transcriptomic datasetsBrian L Hie, Soochi Kim, Thomas A Rando, et al.
Science (New York, N.Y.)|July 4, 2024
Unsupervised evolution of protein and antibody complexes with a structure-informed language modelVarun R Shanker, Theodora U J Bruun, Brian L Hie, et al.
Biorxiv : the Preprint Server for Biology|January 8, 2024
Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolutionVarun R Shanker, Theodora U J Bruun, Brian L Hie, et al.
European Journal of Clinical Investigation|February 21, 2024
Large language models for science and medicineAmalio Telenti, Michael Auli, Brian L Hie, et al.
Pageof 2