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Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability
Wei-Ching Lianga Department of Antibody Engineering, Genentech Inc, South San Francisco, CA, USAView further author information
, Hongkang Xia Department of Antibody Engineering, Genentech Inc, South San Francisco, CA, USAView further author information
, Dawei Sunb Department of Structural Biology, Genentech Inc, South San Francisco, CA, USAView further author information
, Luigi D’Ascenzob Department of Structural Biology, Genentech Inc, South San Francisco, CA, USAView further author information
, Jonathan Zarzarc Department of Pharma Technical Development, Genentech Inc, South San Francisco, CA, USAView further author information
, Nicole Stephensc Department of Pharma Technical Development, Genentech Inc, South San Francisco, CA, USAView further author information
, Ryan Cookd Department of Biochemical and Cellular Pharmacology, Genentech Inc, South San Francisco, CA, USAView further author information
, Yinyin Lid Department of Biochemical and Cellular Pharmacology, Genentech Inc, South San Francisco, CA, USAView further author information
, Zhengmao Yed Department of Biochemical and Cellular Pharmacology, Genentech Inc, South San Francisco, CA, USA;e Discovery Science & Technology Department, Gilead Sciences Inc, Foster City, CA, USAView further author information
, Marissa Matsumotob Department of Structural Biology, Genentech Inc, South San Francisco, CA, USA;f Asher Biotherapeutics, South San Francisco, CA, USAView further author information
, Jian Payandehb Department of Structural Biology, Genentech Inc, South San Francisco, CA, USA;g Exelixis Inc, Alameda, CA, USAView further author information
, Matthieu Masureelb Department of Structural Biology, Genentech Inc, South San Francisco, CA, USACorrespondence[email protected]
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& View further author information
Yan Wua Department of Antibody Engineering, Genentech Inc, South San Francisco, CA, USACorrespondence[email protected]
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show allView further author information
Article: 2309685
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Received 12 Nov 2023, Accepted 21 Jan 2024, Published online: 14 Feb 2024
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