Cargando…
Development of QSAR models for in silico screening of antibody solubility
Although monoclonal antibodies (mAbs) have been shown to be extremely effective in treating a number of diseases, they often suffer from poor developability attributes, such as high viscosity and low solubility at elevated concentrations. Since experimental candidate screening is often materials and...
Autores principales: | Han, Xuan, Shih, James, Lin, Yuhao, Chai, Qing, Cramer, Steven M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037471/ https://www.ncbi.nlm.nih.gov/pubmed/35442164 http://dx.doi.org/10.1080/19420862.2022.2062807 |
Ejemplares similares
-
In Silico Rational Design and Virtual Screening of
Bioactive Peptides Based on QSAR Modeling
por: Mahmoodi-Reihani, Mehri, et al.
Publicado: (2020) -
Rapid and accurate in silico solubility screening of a monoclonal antibody library
por: Sormanni, Pietro, et al.
Publicado: (2017) -
Chemometric QSAR Modeling and In Silico Design of Antioxidant NO Donor Phenols
por: Mitra, Indrani, et al.
Publicado: (2011) -
The inevitable QSAR renaissance
por: Cramer, Richard D.
Publicado: (2011) -
Antibody apparent solubility prediction from sequence by transfer learning
por: Feng, Jiangyan, et al.
Publicado: (2022)