Hasil Pencarian - Eric M. Bennett

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  1. 1
    Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation

    Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation oleh Brajesh K. Rai, James R. Apgar, Eric M. Bennett

    Diterbitkan 2023-02-01
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  2. 2
    Combining random mutagenesis, structure-guided design and next-generation sequencing to mitigate polyreactivity of an anti-IL-21R antibody

    Combining random mutagenesis, structure-guided design and next-generation sequencing to mitigate polyreactivity of an anti-IL-21R antibody oleh Sharon M. Campbell, Joseph DeBartolo, James R. Apgar, Lydia Mosyak, Virginie McManus, Sonia Beyer, Eric M. Bennett, Matthew Lambert, Orla Cunningham

    Diterbitkan 2021-01-01
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  3. 3
    Reduction of therapeutic antibody self-association using yeast-display selections and machine learning

    Reduction of therapeutic antibody self-association using yeast-display selections and machine learning oleh Emily K. Makowski, Hongwei Chen, Matthew Lambert, Eric M. Bennett, Nicole S. Eschmann, Yulei Zhang, Jennifer M. Zupancic, Alec A. Desai, Matthew D. Smith, Wenjia Lou, Amendra Fernando, Timothy Tully, Christopher J. Gallo, Laura Lin, Peter M. Tessier

    Diterbitkan 2022-12-01
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  4. 4
    Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design.

    Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design. oleh James R Apgar, Amy S P Tam, Rhady Sorm, Sybille Moesta, Amy C King, Han Yang, Kerry Kelleher, Denise Murphy, Aaron M D'Antona, Guoying Yan, Xiaotian Zhong, Linette Rodriguez, Weijun Ma, Darren E Ferguson, Gregory J Carven, Eric M Bennett, Laura Lin

    Diterbitkan 2020-01-01
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