Skip to main navigation Skip to search Skip to main content

Coarse-grained strategy for modeling protein stability in concentrated solutions. II: Phase behavior

  • National Institute of Standards and Technology
  • University of Texas at Austin

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

We use highly efficient transition-matrix Monte Carlo simulations to determine equilibrium unfolding curves and fluid phase boundaries for solutions of coarse-grained globular proteins. The model we analyze derives the intrinsic stability of the native state and protein-protein interactions from basic information about protein sequence using heteropolymer collapse theory. It predicts that solutions of low hydrophobicity proteins generally exhibit a single liquid phase near their midpoint temperatures for unfolding, while solutions of proteins with high sequence hydrophobicity display the type of temperature-inverted, liquid-liquid transition associated with aggregation processes of proteins and other amphiphilic molecules. The phase transition occurring in solutions of the most hydrophobic protein we study extends below the unfolding curve, creating an immiscibility gap between a dilute, mostly native phase and a concentrated, mostly denatured phase. The results are qualitatively consistent with the solution behavior of hemoglobin (HbA) and its sickle variant (HbS), and they suggest that a liquid-liquid transition resulting in significant protein denaturation should generally be expected on the phase diagram of high-hydrophobicity protein solutions. The concentration fluctuations associated with this transition could be a driving force for the nonnative aggregation that can occur below the midpoint temperature.

Original languageEnglish
Pages (from-to)1949-1960
Number of pages12
JournalBiophysical Journal
Volume90
Issue number6
DOIs
StatePublished - Mar 2006

Fingerprint

Dive into the research topics of 'Coarse-grained strategy for modeling protein stability in concentrated solutions. II: Phase behavior'. Together they form a unique fingerprint.

Cite this