… Furthermore, because we compute SCM … viscosities of solutions of antibodies of similar
isotypes. In this study, we focus on IgG1 antibodies because most of the experimental viscosity …

… computational tool may facilitate material-free high-throughput screening of antibody
candidates during early … Computational tools for viscosity prediction of small molecules were …

… predict viscosity, experimental parameters, like the diffusion interaction parameter (kD), or
computational tools … Two graphs showing the differences in calculated compared to predicted …

… (1) Similar to the first round of designs, all potential mutations were computationally
screened for binding affinity and stability (S2 Table). (2) A set of positive charge introduction …

… The strong model performance observed in Figures 4–6 motivated us to test if we could use
… other experimental or computational approaches for co-optimizing antibody properties that …

… interest in developing monoclonal antibodies as therapeutic … in a second computational
approach to viscosity prediction … To broaden screening capabilities, computational tools have …

… To rationalize these results, we set filters for the next step of computational screening. Filtering
based on molecular descriptors such as the Lipinski rule-of-five is commonly used in drug …

… involve thousands of mAbs, which is computationally infeasible for … Our findings are supported
by experiments showing … While early models such as the interacting hard sphere (IHS) …

… Furthermore, to complement our use of computational methods for structure prediction,
we … Median test metrics of viscosity binary classifiers. One hundred random stratified train-test …

… developability properties of monoclonal antibodies (mAbs), … Computational tools have been
applied to identify drug-like … showing the experimental viscosity at 150 mg/ml of 20 mAbs. …