Journal
JOURNAL OF PHARMACEUTICAL SCIENCES
Volume 107, Issue 5, Pages 1282-1289Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.xphs.2018.01.002
Keywords
biotechnology; in silico modeling; molecular modeling; monoclonal antibody; oxidation
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Methionine oxidation in therapeutic antibodies can impact the product's stability, clinical efficacy, and safety and hence it is desirable to address the methionine oxidation liability during antibody discovery and development phase. Although the current experimental approaches can identify the oxidation-labile methionine residues, their application is limited mostly to the development phase. We demonstrate an in silico method that can be used to predict oxidation-labile residues based solely on the antibody sequence and structure information. Since antibody sequence information is available in the discovery phase, the in silico method can be applied very early on to identify the oxidation-labile methionine residues and subsequently address the oxidation liability. We believe that the in silicomethod formethionine oxidation liability assessment can aid in antibody discovery and development phase to address the liability in a more rational way. (c) 2018 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.
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