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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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| Pubblicato in: | MAbs |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Taylor & Francis
2018
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| Soggetti: | |
| Accesso online: | 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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