Efficient evolution of human antibodies from general protein language models von Hie, Brian L., Shanker, Varun R., Xu, Duo, Bruun, Theodora U. J., Weidenbacher, Payton A., Tang, Shaogeng, Wu, Wesley, Pak, John E., Kim, Peter S.

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Adaptive machine learning for protein engineering von Hie, Brian L., Yang, Kevin K.

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Learning the language of viral evolution and escape von Hie, Brian, Zhong, Ellen D, Berger, Bonnie, Bryson, Bryan

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Generative artificial intelligence for de novo protein design von Winnifrith, Adam, Outeiral, Carlos, Hie, Brian L.

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Pooled ChIP-Seq Links Variation in Transcription Factor Binding to Complex Disease Risk von Tehranchi, Ashley K., Myrthil, Marsha, Martin, Trevor, Hie, Brian L., Golan, David, Fraser, Hunter B.

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Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities von Singh, Rohit, Hie, Brian L, Narayan, Ashwin, Berger, Bonnie

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Scanorama: integrating large and diverse single-cell transcriptomic datasets von Hie, Brian L., Kim, Soochi, Rando, Thomas A., Bryson, Bryan, Berger, Bonnie

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Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins von Hie, Brian L., Yang, Kevin K., Kim, Peter S.

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Large language models for science and medicine von Telenti, Amalio, Auli, Michael, Hie, Brian L., Maher, Cyrus, Saria, Suchi, Ioannidis, John P. A.

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Unsupervised evolution of protein and antibody complexes with a structure-informed language model von Shanker, Varun R, Bruun, Theodora U J, Hie, Brian L, Kim, Peter S

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Sequence modeling and design from molecular to genome scale with Evo von Nguyen, Eric, Poli, Michael, Durrant, Matthew G, Kang, Brian, Katrekar, Dhruva, Li, David B, Bartie, Liam J, Thomas, Armin W, King, Samuel H, Brixi, Garyk, Sullivan, Jeremy, Ng, Madelena Y, Lewis, Ashley, Lou, Aaron, Ermon, Stefano, Baccus, Stephen A, Hernandez-Boussard, Tina, Ré, Christopher, Hsu, Patrick D, Hie, Brian L

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Fine-mapping cis -regulatory variants in diverse human populations von Tehranchi, Ashley, Hie, Brian, Dacre, Michael, Kaplow, Irene, Pettie, Kade, Combs, Peter, Fraser, Hunter B

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Efficient integration of heterogeneous single-cell transcriptomes using Scanorama von Hie, Brian, Bryson, Bryan, Berger, Bonnie

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Evolutionary-scale prediction of atomic-level protein structure with a language model von Lin, Zeming, Akin, Halil, Rao, Roshan, Hie, Brian, Zhu, Zhongkai, Lu, Wenting, Smetanin, Nikita, Verkuil, Robert, Kabeli, Ori, Shmueli, Yaniv, Dos Santos Costa, Allan, Fazel-Zarandi, Maryam, Sercu, Tom, Candido, Salvatore, Rives, Alexander

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Realizing private and practical pharmacological collaboration von Hie, Brian, Cho, Hyunghoon, Berger, Bonnie

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Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design von Hie, Brian, Bryson, Bryan D., Berger, Bonnie

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Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape von Hie, Brian, Cho, Hyunghoon, DeMeo, Benjamin, Bryson, Bryan, Berger, Bonnie

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BHLHE40 Regulates Myeloid Cell Polarization through IL-10-Dependent and -Independent Mechanisms von Hendrix, Skyler V, Mreyoud, Yassin, McNehlan, Michael E, Smirnov, Asya, Chavez, Sthefany M, Hie, Brian, Chamberland, Megan M, Bradstreet, Tara R, Webber, Ashlee M, Kreamalmeyer, Darren, Taneja, Reshma, Bryson, Bryan D, Edelson, Brian T, Stallings, Christina L

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Computational Methods for Single-Cell RNA Sequencing von Hie, Brian, Peters, Joshua, Nyquist, Sarah K, Shalek, Alex K, Berger, Bonnie, Bryson, Bryan D

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Machine Learning for Protein Engineering von Johnston, Kadina E, Fannjiang, Clara, Wittmann, Bruce J, Hie, Brian L, Yang, Kevin K, Wu, Zachary

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