A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties

Identification of favorable biophysical properties for protein therapeutics as part of developability assessment is a crucial part of the preclinical development process. Successful prediction of such properties and bioassay results from calculated in silico features has potential to reduce the time...

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Detalles Bibliográficos
Autores principales: Waight, Andrew B., Prihoda, David, Shrestha, Rojan, Metcalf, Kevin, Bailly, Marc, Ancona, Marco, Widatalla, Talal, Rollins, Zachary, Cheng, Alan C, Bitton, Danny A., Fayadat-Dilman, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448975/
https://www.ncbi.nlm.nih.gov/pubmed/37610144
http://dx.doi.org/10.1080/19420862.2023.2248671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448975/
https://www.ncbi.nlm.nih.gov/pubmed/37610144
http://dx.doi.org/10.1080/19420862.2023.2248671

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