| Literature DB >> 26237227 |
Ashwin Chari1, David Haselbach1, Jan-Martin Kirves1, Juergen Ohmer2, Elham Paknia2, Niels Fischer1, Oleg Ganichkin3, Vanessa Möller4, Jeremiah J Frye5, Georg Petzold6, Marc Jarvis6, Michael Tietzel7, Clemens Grimm2, Jan-Michael Peters6, Brenda A Schulman5,8, Kai Tittmann7, Jürgen Markl4, Utz Fischer2, Holger Stark1.
Abstract
Molecular machines or macromolecular complexes are supramolecular assemblies of biomolecules with a variety of functions. Structure determination of these complexes in a purified state is often tedious owing to their compositional complexity and the associated relative structural instability. To improve the stability of macromolecular complexes in vitro, we present a generic method that optimizes the stability, homogeneity and solubility of macromolecular complexes by sparse-matrix screening of their thermal unfolding behavior in the presence of various buffers and small molecules. The method includes the automated analysis of thermal unfolding curves based on a biophysical unfolding model for complexes. We found that under stabilizing conditions, even large multicomponent complexes reveal an almost ideal two-state unfolding behavior. We envisage an improved biochemical understanding of purified macromolecules as well as a substantial boost in successful macromolecular complex structure determination by both X-ray crystallography and cryo-electron microscopy.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26237227 PMCID: PMC5136620 DOI: 10.1038/nmeth.3493
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547