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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach
Ronghua BeiLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USACorrespondence[email protected]
https://orcid.org/0000-0002-9342-523XView further author information
, https://orcid.org/0000-0002-9342-523XView further author information
Justin ThomasLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAView further author information
, Shiven KapurLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAView further author information
, Mahlet WoldeyesLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAhttps://orcid.org/0000-0002-8746-0901View further author information
, Adam RaukLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAView further author information
, Jason RobargeLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAhttps://orcid.org/0000-0001-8941-1153View further author information
, Jiangyan FengLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAhttps://orcid.org/0000-0003-0292-6758View further author information
& Kaoutar Abbou OucherifLilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, IN, USAView further author information
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Article: 2352887
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Received 03 Mar 2024, Accepted 03 May 2024, Published online: 14 May 2024
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