Abstract

Computational methods are emerging as powerful complements to laboratory-based approaches for protein developability assessments. They enable to address solubility issues early in the development process and reduce the need of laborious and material-demanding experimental work. In particular, the solubility of proteins is an essential biochemical requirement for their activity and it is often obstructing developability pipelines. In 2015 we introduced the CamSol method, which enables accurate predictions of the solubility of proteins solely by analysing the physico-chemical properties of their sequences, without any knowledge of their structures.

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