Unknown

Dataset Information

0

Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production.


ABSTRACT: Engineered proteins are increasingly being required to function or pass through environmental stresses for which the underlying protein has not evolved. A major example in health are antibody therapeutics, where a low pH step is used for purification and viral inactivation. In order to develop a computational model for analysis of pH-stability, predictions are compared with experimental data for the relative pH-sensitivities of antibody domains. The model is then applied to proteases that have evolved to be functional in an acid environment, showing a clear signature for low pH-dependence of stability in the neutral to acidic pH region, largely through reduction of salt-bridges. Interestingly, an extensively acidic protein surface can maintain contribution to structural stabilisation at acidic pH through replacement of basic sidechains with polar, hydrogen-bonding groups. These observations form a design principle for engineering acid-stable proteins.

SUBMITTER: Hebditch M 

PROVIDER: S-EPMC7171260 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production.

Hebditch Max M   Kean Ryan R   Warwicker Jim J  

Computational and structural biotechnology journal 20200310


Engineered proteins are increasingly being required to function or pass through environmental stresses for which the underlying protein has not evolved. A major example in health are antibody therapeutics, where a low pH step is used for purification and viral inactivation. In order to develop a computational model for analysis of pH-stability, predictions are compared with experimental data for the relative pH-sensitivities of antibody domains. The model is then applied to proteases that have e  ...[more]

Similar Datasets

| S-EPMC1482821 | biostudies-literature
| S-EPMC5516644 | biostudies-literature
| S-EPMC4198145 | biostudies-literature
| S-EPMC5502398 | biostudies-literature
2024-09-09 | GSE276124 | GEO
| S-EPMC9305715 | biostudies-literature
| S-EPMC6432485 | biostudies-literature
| S-EPMC6488996 | biostudies-literature
2014-07-07 | GSE52020 | GEO
2014-07-07 | E-GEOD-52020 | biostudies-arrayexpress