Cargando…
Five computational developability guidelines for therapeutic antibody profiling
Therapeutic mAbs must not only bind to their target but must also be free from “developability issues” such as poor stability or high levels of aggregation. While small-molecule drug discovery benefits from Lipinski’s rule of five to guide the selection of molecules with appropriate biophysical prop...
Autores principales: | Raybould, Matthew I. J., Marks, Claire, Krawczyk, Konrad, Taddese, Bruck, Nowak, Jaroslaw, Lewis, Alan P., Bujotzek, Alexander, Shi, Jiye, Deane, Charlotte M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410772/ https://www.ncbi.nlm.nih.gov/pubmed/30765520 http://dx.doi.org/10.1073/pnas.1810576116 |
Ejemplares similares
-
Thera-SAbDab: the Therapeutic Structural Antibody Database
por: Raybould, Matthew I J, et al.
Publicado: (2020) -
Ab-Ligity: identifying sequence-dissimilar antibodies that bind to the same epitope
por: Wong, Wing Ki, et al.
Publicado: (2021) -
Public Baseline and shared response structures support the theory of antibody repertoire functional commonality
por: Raybould, Matthew I. J., et al.
Publicado: (2021) -
Looking for therapeutic antibodies in next-generation sequencing repositories
por: Krawczyk, Konrad, et al.
Publicado: (2019) -
SAbPred: a structure-based antibody prediction server
por: Dunbar, James, et al.
Publicado: (2016)