Research map: Self-interaction nanoparticle spectroscopy predicts high-concentration viscosity of therapeutic IgG1 antibodies
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Random Forests
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· Dheeraj S. Tomar · 2016 · 220 citations · Cited by this paper
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· Christian Lehermayr · 2011 · 213 citations · Cited by this paper
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· Patrick Garidel · 2017 · 190 citations · Cited by this paper
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· Bei Chen · 2003 · 167 citations · Cited by this paper
High-throughput screening for developability during early-stage antibody discovery using self-interaction nanoparticle spectroscopy
· Yuqi Liu · 2013 · 141 citations · Cited by this paper
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· Jan Ježek · 2011 · 140 citations · Cited by this paper
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· Andrew C. Chan · 2025 · 84 citations · Cited by this paper
Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches
· Tushar S. Jain · 2023 · 76 citations · Cited by this paper
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters
· Pin‐Kuang Lai · 2021 · 54 citations · Cited by this paper
Development of a high-throughput solubility screening assay for use in antibody discovery
· Qing Chai · 2019 · 53 citations · Cited by this paper
Discovery of highly soluble antibodies prior to purification using affinity-capture self-interaction nanoparticle spectroscopy
· Jiemin Wu · 2015 · 49 citations · Cited by this paper
Ultradilute Measurements of Self-Association for the Identification of Antibodies with Favorable High-Concentration Solution Properties
· Charles G. Starr · 2021 · 47 citations · Cited by this paper
Systematic analysis of the varied designs of 819 therapeutic antibodies and Fc fusion proteins assigned international nonproprietary names
· Ian C. Wilkinson · 2022 · 41 citations · Cited by this paper
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· Hristo L. Svilenov · 2023 · 41 citations · Cited by this paper
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