Combining Structural Aggregation Propensity and Stability Predictions to Redesign Protein Solubility

Marcos Gil-Garcia, Manuel Banó-Polo, Nathalia Varejao, Michal Jamroz, Aleksander Kuriata, Marta Díaz-Caballero, Jara Lascorz, Bertrand Morel, Susanna Navarro, David Reverter, Sebastian Kmiecik, Salvador Ventura

Research output: Contribution to journalArticleResearch

15 Citations (Scopus)

Abstract

Copyright © 2018 American Chemical Society. The aggregation propensity of each particular protein seems to be shaped by evolution according to its natural abundance in the cell. The production and downstream processing of recombinant polypeptides implies attaining concentrations that are orders of magnitude above their natural levels, often resulting in their aggregation; a phenomenon that precludes the marketing of many globular proteins for biomedical or biotechnological applications. Therefore, there is a huge interest in methods aimed to increase the proteins solubility above their natural limits. Here, we demonstrate that an updated version of our AGGRESCAN 3D structural aggregation predictor, that now takes into account protein stability, allows for designing mutations at specific positions in the structure that improve the solubility of proteins without compromising their conformation. Using this approach, we have designed a highly soluble variant of the green fluorescent protein and a human single-domain VH antibody displaying significantly reduced aggregation propensity. Overall, our data indicate that the solubility of unrelated proteins can be easily tuned by in silico-designed nondestabilizing amino acid changes at their surfaces.
Original languageEnglish
Pages (from-to)3846-3859
JournalMolecular Pharmaceutics
Volume15
DOIs
Publication statusPublished - 4 Sep 2018

Keywords

  • Aβ peptide
  • green fluorescent protein
  • protein aggregation
  • protein stability
  • protein structure
  • single-domain antibodies

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