The Yeast Saccharomyces cerevisiae: a versatile model system for the identification and characterization of bacterial virulence proteins.

Microbial pathogens utilize complex secretion systems to deliver proteins into host cells. These effector proteins target and usurp host cell processes to promote infection and cause disease. While secretion systems are conserved, each pathogen delivers its own unique set of effectors.

Protein conformational flexibility prediction using machine learning.

Using a data set of 16 proteins, a neural network has been trained to predict backbone 15N generalized order parameters from the three-dimensional structures of proteins. The final network parameterization contains six input features. The average prediction accuracy, as measured by the Pearson's correlation coefficient between experimental and predicted values of the square of the generalized order parameter is >0.

Conformational dynamics in loop swap mutants of homologous fibronectin type III domains.

Fibronectin type III (FN-III) domains are autonomously folded modules found in a variety of multidomain proteins. The 10th FN-III domain from fibronectin (fnFN10) and the 3rd FN-III domain from tenascin-C (tnFN3) have 27% sequence identity and the same overall fold; however, the CC' loop has a different pattern of backbone hydrogen bonds and the FG loop is longer in fnFN10 compared to tnFN3. To examine the influence of length, sequence, and context in determining dynamical properties of loops, CC' and FG loops were swapped between fnFN10 and tnFN3 to generate four mutant proteins and backbone conformational dynamics on ps-ns and mus-ms timescales were characterized by solution (15)N-NMR spin relaxation spectroscopy.

Yeast functional genomic screens lead to identification of a role for a bacterial effector in innate immunity regulation.

Numerous bacterial pathogens manipulate host cell processes to promote infection and ultimately cause disease through the action of proteins that they directly inject into host cells. Identification of the targets and molecular mechanisms of action used by these bacterial effector proteins is critical to understanding pathogenesis. We have developed a systems biological approach using the yeast Saccharomyces cerevisiae that can expedite the identification of cellular processes targeted by bacterial effector proteins.