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Prediction of methionine oxidation risk in monoclonal antibodies using a machine learning method
Monoclonal antibodies (mAbs) have become a major class of protein therapeutics that target a spectrum of diseases ranging from cancers to infectious diseases. Similar to any protein molecule, mAbs are susceptible to chemical modifications during the manufacturing process, long-term storage, and in v...
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| I publikationen: | MAbs |
|---|---|
| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Taylor & Francis
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6284603/ https://ncbi.nlm.nih.gov/pubmed/30252602 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/19420862.2018.1518887 |
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