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5. Predicting High-Concentration Interactions of Monoclonal Antibody Solutions: Comparison of Theoretical Approaches for Strongly Attractive Versus Repulsive Conditions. Calero-Rubio C; Saluja A; Sahin E; Roberts CJ J Phys Chem B; 2019 Jul; 123(27):5709-5720. PubMed ID: 31241333 [TBL] [Abstract][Full Text] [Related]
6. How Well Do Low- and High-Concentration Protein Interactions Predict Solution Viscosities of Monoclonal Antibodies? Woldeyes MA; Qi W; Razinkov VI; Furst EM; Roberts CJ J Pharm Sci; 2019 Jan; 108(1):142-154. PubMed ID: 30017887 [TBL] [Abstract][Full Text] [Related]
7. Impact of Glycosylation on Protein-Protein Self-Interactions of Monoclonal Antibodies. Palakollu V; Motabar L; Roberts CJ Mol Pharm; 2024 Mar; 21(3):1414-1423. PubMed ID: 38386020 [TBL] [Abstract][Full Text] [Related]
8. Electrostatically Driven Protein-Protein Interactions: Quantitative Prediction of Second Osmotic Virial Coefficients to Aid Antibody Design. Shahfar H; Du Q; Parupudi A; Shan L; Esfandiary R; Roberts CJ J Phys Chem Lett; 2022 Feb; 13(5):1366-1372. PubMed ID: 35112863 [TBL] [Abstract][Full Text] [Related]
9. Predicting Protein Interactions of Concentrated Globular Protein Solutions Using Colloidal Models. Woldeyes MA; Calero-Rubio C; Furst EM; Roberts CJ J Phys Chem B; 2017 May; 121(18):4756-4767. PubMed ID: 28422503 [TBL] [Abstract][Full Text] [Related]
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18. Coarse-Grained Antibody Models for "Weak" Protein-Protein Interactions from Low to High Concentrations. Calero-Rubio C; Saluja A; Roberts CJ J Phys Chem B; 2016 Jul; 120(27):6592-605. PubMed ID: 27314827 [TBL] [Abstract][Full Text] [Related]
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