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References from A framework for the biophysical screening of antibody mutations targeting solvent-accessible hydrophobic and electrostatic patches for enhanced viscosity profiles. Local targets link to admitted publications; unresolved targets remain external evidence.
Development of therapeutic antibodies for the treatment of diseases
2020 · External reference
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10.1016/j.xphs.2021.11.008
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Predicting antibody developability profiles through early stage discovery screening
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10.1016/j.ijpharm.2024.124055
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Reduction of monoclonal antibody viscosity using interpretable machine learning
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Dipolar interactions and protein hydration in highly concentrated antibody formulations
10.1021/acs.molpharmaceut.1c00587 · 2022 · External reference
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The role of amino acid sequence in the self-association of therapeutic monoclonal antibodies: insights from coarse-grained modeling
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10.1016/j.xphs.2022.05.011
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Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
2022 · External reference
Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks
10.1080/19420862.2023.2169440 · 2023 · External reference
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Assessment of therapeutic antibodies developability by combinations of in vitro and in silico methods
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Therapeutic antibody engineering to improve viscosity and phase separation guided by crystal structure
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Dissecting the molecular basis of high viscosity of monospecific and bispecific IgG antibodies
10.1080/19420862.2019.1692764 · 2020 · External reference
Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design
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In silico selection of therapeutic antibodies for development: viscosity, clearance, and chemical stability
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The therapeutic antibody profiler for computational developability
10.1007/978-1-0716-1450-1_5 · 2022 · External reference
Five computational developability guidelines for therapeutic antibody profiling
10.1073/pnas.1810576116 · 2019 · External reference
Structure-based charge calculations for predicting isoelectric point, viscosity, clearance, and profiling antibody therapeutics
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Concentration dependent viscosity of monoclonal antibody solutions: explaining experimental behavior in terms of molecular properties
10.1007/s11095-014-1409-0 · 2014 · External reference
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody
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Computational tool for the early screening of monoclonal antibodies for their viscosities
10.1080/19420862.2015.1099773 · 2016 · External reference
In silico proof of principle of machine learning-based antibody design at unconstrained scale
10.1080/19420862.2022.2031482 · 2022 · External reference
Rational design of viscosity reducing mutants of a monoclonal antibody: hydrophobic versus electrostatic inter-molecular interactions
10.4161/19420862.2014.985504 · 2015 · External reference
Viscosity-lowering effect of amino acids and salts on highly concentrated solutions of Two IgG1 monoclonal antibodies
10.1021/acs.molpharmaceut.5b00643 · 2015 · External reference
Effects of monovalent salt on protein-protein interactions of dilute and concentrated monoclonal antibody formulations
10.3390/antib11020024 · 2022 · External reference
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters
10.1080/19420862.2021.1907882 · 2021 · External reference
Blueprint for antibody biologics developability
10.1080/19420862.2023.2185924 · 2023 · External reference
10.1007/s12551-016-0218-6
10.1007/s12551-016-0218-6 · External reference
Measuring self-association of antibody lead candidates with dynamic light scattering (DLS)
2022 · External reference
The influence of charge distribution on self-association and viscosity behavior of monoclonal antibody solutions
10.1021/mp200566k · 2012 · External reference
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10.1016/j.csbj.2022.04.035
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High-throughput profiling of antibody self-association in multiple formulation conditions by PEG stabilized self-interaction nanoparticle spectroscopy
10.1080/19420862.2022.2094750 · 2022 · External reference
Nano differential scanning fluorimetry-based thermal stability screening and optimal buffer selection for immunoglobulin G
2021 · External reference