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Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies

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Article: 2256745 | Received 29 May 2023, Accepted 05 Sep 2023, Published online: 12 Sep 2023

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Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O’Day, Erick Maglalang, Dwight Winters & Peter M. Tessier. (2024) Reduction of monoclonal antibody viscosity using interpretable machine learning. mAbs 16:1.
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Shufang Liu, Sara C. Humphreys, Kevin D. Cook, Kip P. Conner, Ana R. Correia, Alex W. Jacobitz, Melissa Yang, Ronya Primack, Marcus Soto, Rupa Padaki, Mariusz Lubomirski, Richard Smith, Marissa Mock & Veena A. Thomas. (2023) Utility of physiologically based pharmacokinetic modeling to predict inter-antibody variability in monoclonal antibody pharmacokinetics in mice. mAbs 15:1.
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Articles from other publishers (2)

Marissa Mock, Christopher James Langmead, Peter Grandsard, Suzanne Edavettal & Alan Russell. (2024) Recent advances in generative biology for biotherapeutic discovery. Trends in Pharmacological Sciences 45:3, pages 255-267.
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Kamal Bhandari, Yangjie Wei, Brendan R. Amer, Emma M. Pelegri-O’Day, Joon Huh & Jeremy D. Schmit. (2023) Prediction of Antibody Viscosity from Dilute Solution Measurements. Antibodies 12:4, pages 78.
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