Systematic Bioinformatics and Experimental Validation of Yeast Complexes Reduces the Rate of Attrition during Structural Investigations

SummaryFor high-throughput structural studies of protein complexes of composition inferred from proteomics data, it is crucial that candidate complexes are selected accurately. Herein, we exemplify a procedure that combines a bioinformatics tool for complex selection with in vivo validation, to deliver structural results in a medium-throughout manner. We have selected a set of 20 yeast complexes, which were predicted to be feasible by either an automated bioinformatics algorithm, by manual inspection of primary data, or by literature searches. These complexes were validated with two straightforward and efficient biochemical assays, and heterologous expression technologies of complex components were then used to produce the complexes to assess their feasibility experimentally. Approximately one-half of the selected complexes were useful for structural studies, and we detail one particular success story. Our results underscore the importance of accurate target selection and validation in avoiding transient, unstable, or simply nonexistent complexes from the outset.

Graphical AbstractFigure optionsDownload high-quality image (295 K)Download as PowerPoint slideHighlights
► A triaging strategy for selecting protein complexes suitable for structural studies
► A validation strategy in yeast to confirm complex subunits and stoichiometry
► (Co-)expression techniques produce more than half of the validated complexes
► Exemplified by the low resolution EM structure of the Gcd10:Gcd14 complex.