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Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been optimized for stability. In this study, we measured accelerated aggregation rates...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794240/ https://www.ncbi.nlm.nih.gov/pubmed/35075980 http://dx.doi.org/10.1080/19420862.2022.2026208 |