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Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches.
Kwan, Tristan O C; Kolek, Stefan A; Danson, Amy E; Reis, Rosana I; Camacho, Ines S; Shaw Stewart, Patrick D; Moraes, Isabel.
Afiliação
  • Kwan TOC; National Physical Laboratory, Teddington, United Kingdom.
  • Kolek SA; Douglas Instruments Ltd., Hungerford, United Kingdom.
  • Danson AE; National Physical Laboratory, Teddington, United Kingdom.
  • Reis RI; National Physical Laboratory, Teddington, United Kingdom.
  • Camacho IS; National Physical Laboratory, Teddington, United Kingdom.
  • Shaw Stewart PD; Douglas Instruments Ltd., Hungerford, United Kingdom.
  • Moraes I; National Physical Laboratory, Teddington, United Kingdom.
Front Mol Biosci ; 9: 890862, 2022.
Article em En | MEDLINE | ID: mdl-35651816
ABSTRACT
Structure-function relationships of biological macromolecules, in particular proteins, provide crucial insights for fundamental biochemistry, medical research and early drug discovery. However, production of recombinant proteins, either for structure determination, functional studies, or to be used as biopharmaceutical products, is often hampered by their instability and propensity to aggregate in solution in vitro. Protein samples of poor quality are often associated with reduced reproducibility as well as high research and production expenses. Several biophysical methods are available for measuring protein aggregation and stability. Yet, discovering and developing means to improve protein behaviour and structure-function integrity remains a demanding task. Here, we discuss workflows that are made possible by adapting established biophysical methods to high-throughput screening approaches. Rapid identification and optimisation of conditions that promote protein stability and reduce aggregation will support researchers and industry to maximise sample quality, stability and reproducibility, thereby reducing research and development time and costs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article