Phyloproteomics: species identification of Enterobacteriaceae using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

To evaluate matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS) as a tool for rapid identification of common clinical bacterial isolates, we analyzed 25 carefully selected isolates of pathogenic Escherichia coli (E. coli) and additional Enterobacteriaceae members. Organisms were prepared according to clinical microbiological protocols and analyzed with minimal additional processing. Spectra were reproducible from preparation to preparation and comprised 40-100 peaks primarily representing intracellular proteins with masses up to 25 kDa. Spectra of 14 genetically diverse bacteremic isolates of E. coli were compared with isolates representing other genera within the Enterobacteriaceae family. Using a new spectrum comparison algorithm, E. coli isolates were closely related to each other and were readily distinguishable from other Enterobacteriaceae, including Salmonella and Shigella. Presently, the methodology permits the analysis of 40 unknown isolates per hour per instrument. These results suggest that MALDI-ToF MS offers a rapid and reliable approach for performing phyloproteomics i.e., identification of unknown bacterial isolates based on similarities within protein biomarker databases.

Protein folding funnels: a kinetic approach to the sequence-structure relationship.

A lattice model of protein folding is developed to distinguish between amino acid sequences that do and do not fold into unique conformations. Although Monte Carlo simulations provide insights into the long-time processes involved in protein folding, these simulations cannot systematically chart the conformational energy surface that enables folding. By assuming that protein folding occurs after chain collapse, a kinetic map of important pathways on this surface is constructed through the use of an analytical theory of probability flow. Convergent kinetic pathways, or "folding funnels," guide folding to a unique, stable, native conformation. Solution of the probability flow equations is facilitated by limiting treatment to diffusion between geometrically similar collapsed conformers. Similarity is measured in terms of a reconfigurational distance. Two specific amino acid sequences are deemed foldable and nonfoldable because one gives rise to a single, large folding funnel leading to a native conformation and the other has multiple pathways leading to several stable conformers. Monte Carlo simulations demonstrate that folding funnel calculations accurately predict the fact of and the pathways involved in folding-specific sequences. The existence of folding funnels for specific sequences suggests that geometrically related families of stable, collapsed conformers fulfill kinetic and thermodynamic requirements of protein folding.