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Generative Language Modeling for Antibody Design
Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray
bioRxiv, 2021.
Using a deep generative language model trained on ~500 million antibody sequences to design synthetic antibody libraries.
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Deep learning for fast spatially varying deconvolution
Kyrollos Yanny, Kristina Monakhova, Richard W. Shuai, and Laura Waller
Optica 9, 96-99, 2022.
Used deep learning for real-time image reconstruction from convolutions with a spatially-variant point spread based on a U-Net with learnable Wiener deconvolutions. Project page.
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MultiWienerNet: Deep Learning for Fast Shift-Varying Deconvolution
Richard W. Shuai, Kyrollos Yanny, Kristina Monakhova, and Laura Waller
Computational Optical Sensing and Imaging, pages CTh5A–5. Optical Society of America, 2021.
Early work on using deep learning for real-time image reconstruction from convolutions with a spatially-variant point spread.
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