17 results on '"Mody, Neil"'
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2. An “Fc-Silenced” IgG1 Format With Extended Half-Life Designed for Improved Stability
3. Understanding the Role of Preferential Exclusion of Sugars and Polyols from Native State IgG1 Monoclonal Antibodies and its Effect on Aggregation and Reversible Self-Association
4. Developability profiling of a panel of Fc engineered SARS-CoV-2 neutralizing antibodies
5. Critical reagents for ligand-binding assays: process development methodologies to enable high-quality reagents
6. Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
7. Developability profiling of a panel of Fc engineered SARS-CoV-2 neutralizing antibodies.
8. Molecular computations of preferential interactions of proline, arginine.HCl, and NaCl with IgG1 antibodies and their impact on aggregation and viscosity
9. Understanding the Role of Preferential Exclusion of Sugars and Polyols from Native State IgG1 Monoclonal Antibodies and its Effect on Aggregation and Reversible Self-Association
10. Machine Learning Models of Antibody–Excipient Preferential Interactions for Use in Computational Formulation Design
11. Highland games: A benchmarking exercise in predicting biophysical and drug properties of monoclonal antibodies from amino acid sequences
12. Molecular computations of preferential interactions of proline, arginine.HCl, and NaCl with IgG1 antibodies and their impact on aggregation and viscosity
13. Molecular Computations of Preferential Interaction Coefficients of IgG1 Monoclonal Antibodies with Sorbitol, Sucrose, and Trehalose and the Impact of These Excipients on Aggregation and Viscosity
14. Developability Assessment of Engineered Monoclonal Antibody Variants with a Complex Self-Association Behavior Using Complementary Analytical and in Silico Tools
15. Computational tool for the early screening of monoclonal antibodies for their viscosities
16. Computational tool for the early screening of monoclonal antibodies for their viscosities.
17. Predicting human subcutaneous bioavailability of monoclonal antibodies using an integrated in-vitro/in-silico approach.
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