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- W4367397295 endingPage "2926" @default.
- W4367397295 startingPage "2909" @default.
- W4367397295 abstract "Therapeutic protein, represented by antibodies, is of increasing interest in human medicine. However, clinical translation of therapeutic protein is still largely hindered by different aspects of developability, including affinity and selectivity, stability and aggregation prevention, solubility and viscosity reduction, and deimmunization. Conventional optimization of the developability with widely used methods, like display technologies and library screening approaches, is a time and cost-intensive endeavor, and the efficiency in finding suitable solutions is still not enough to meet clinical needs. In recent years, the accelerated advancement of computational methodologies has ushered in a transformative era in the field of therapeutic protein design. Owing to their remarkable capabilities in feature extraction and modeling, the integration of cutting-edge computational strategies with conventional techniques presents a promising avenue to accelerate the progression of therapeutic protein design and optimization toward clinical implementation. Here, we compared the differences between therapeutic protein and small molecules in developability and provided an overview of the computational approaches applicable to the design or optimization of therapeutic protein in several developability issues." @default.
- W4367397295 created "2023-04-30" @default.
- W4367397295 creator A5031908321 @default.
- W4367397295 creator A5041607858 @default.
- W4367397295 creator A5042785211 @default.
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- W4367397295 creator A5056053058 @default.
- W4367397295 creator A5086484316 @default.
- W4367397295 creator A5089061216 @default.
- W4367397295 date "2023-01-01" @default.
- W4367397295 modified "2023-09-26" @default.
- W4367397295 title "Accelerating therapeutic protein design with computational approaches toward the clinical stage" @default.
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