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Stabilizing mutations in haloalkane dehalogenases can unexpectedly decrease solubility. This study reveals cryptic aggregation-prone regions and increased surface hydrophobicity as key factors causing reduced solubility in engineered proteins.

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Area of Science:

  • Biochemistry
  • Protein Engineering
  • Computational Biology

Background:

  • Computational tools predict mutational effects on protein stability, but can negatively impact activity or solubility.
  • Haloalkane dehalogenases (DhaA115 and LinB116) are homologous but exhibit significant differences in solubility.
  • The poor solubility and aggregation of LinB116, despite stabilization, remained unexplained for decades.

Purpose of the Study:

  • To investigate the molecular mechanisms behind the reduced solubility and aggregation propensity in computationally stabilized haloalkane dehalogenases.
  • To understand why stabilization negatively affects the solubility of LinB116 compared to DhaA115.
  • To identify factors contributing to poor protein solubility in hyperstabilized enzymes.

Main Methods:

  • Combined experimental techniques with in-silico methods, including molecular dynamics simulations.
  • Analyzed unfolding mechanisms in relation to protein aggregation.
  • Examined the effects of stabilization on solubility and aggregation propensity of DhaA115 and LinB116.

Main Results:

  • Identified cryptic aggregation-prone regions and increased surface hydrophobicity as key factors for LinB116's reduced solubility.
  • Unfolding mechanisms in the context of aggregation explained the negative consequences of stabilization in LinB116.
  • Molecular dynamics simulations revealed exposed regions during LinB116 unfolding that exhibited aggregation propensity.

Conclusions:

  • Novel molecular mechanisms of unfolding for hyperstabilized dehalogenases were uncovered.
  • Contextual information is crucial in protein engineering to prevent stabilizing mutations from negatively impacting protein solubility.
  • Understanding protein unfolding and aggregation is key to successful protein engineering.