Machine learning prediction of methionine and tryptophan photooxidation susceptibility

Machine learning prediction of methionine and tryptophan photooxidation susceptibility

Photooxidation of methionine (Met) and tryptophan (Trp) residues is common and includes major degradation pathways that often pose a serious threat to the success of therapeutic proteins. Oxidation impacts all steps of protein production, manufacturing, and shelf life. Prediction of oxidation liabil...

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Bibliographic Details
Main Authors: Jared A. Delmar, Eugen Buehler, Ashwin K. Chetty, Agastya Das, Guillermo Miro Quesada, Jihong Wang, Xiaoyu Chen
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Molecular Therapy: Methods & Clinical Development
Subjects:
oxidation
photostability
machine learning
prediction
developability
stability
Online Access:http://www.sciencedirect.com/science/article/pii/S2329050121000632

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http://www.sciencedirect.com/science/article/pii/S2329050121000632

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