The performance of the atmospheric pressure photoionization (APPI) technique was evaluated against five sets of standards and drug-like compounds and compared to atmospheric pressure chemical ionization (APCI) and electrospray ionization (ESI). The APPI technique was first used to analyze a set of 86 drug standards with diverse structures and polarities with a 100% detection rate. More detailed studies were then performed for another three sets of both drug standards and proprietary drug candidates. All 60 test compounds in these three sets were detected by APPI with an overall higher ionization efficiency than either APCI or ESI. Most of the non-polar compounds in these three sets were not ionized by APCI or ESI. Analysis of a final set of 201 Wyeth proprietary drug candidates by APPI, APCI and ESI provided an additional comparison of the ionization techniques. The detection rates in positive ion mode were 94% for APPI, 84% for APCI, and 84% for ESI. Combining positive and negative ion mode detection, APPI detected 98% of the compounds, while APCI and ESI detected 91%, respectively. This analysis shows that APPI is a valuable tool for day-to-day usage in a pharmaceutical company setting because it is able to successfully ionize more compounds, with greater structural diversity, than the other two ionization techniques. Consequently, APPI could be considered a more universal ionization method, and therefore has great potential in high-throughput drug discovery especially for open access liquid chromatography/mass spectrometry (LC/MS) applications.

BackgroundA key argument in favor of conserving biodiversity is that as yet undiscovered biodiversity will yield products of great use to humans. However, the link between undiscovered biodiversity and useful products is largely conjectural. Here we provide direct evidence from bioassays of endophytes isolated from tropical plants and bioinformatic analyses that novel biology will indeed yield novel chemistry of potential value.Methodology/Principal FindingsWe isolated and cultured 135 endophytic fungi and bacteria from plants collected in Peru. nrDNAs were compared to samples deposited in GenBank to ascertain the genetic novelty of cultured specimens. Ten endophytes were found to be as much as 15–30% different than any sequence in GenBank. Phylogenetic trees, using the most similar sequences in GenBank, were constructed for each endophyte to measure phylogenetic distance. Assays were also conducted on each cultured endophyte to record bioactivity, of which 65 were found to be bioactive.Conclusions/SignificanceThe novelty of our contribution is that we have combined bioinformatic analyses that document the diversity found in environmental samples with culturing and bioassays. These results highlight the hidden hyperdiversity of endophytic fungi and the urgent need to explore and conserve hidden microbial diversity. This study also showcases how undergraduate students can obtain data of great scientific significance.

The ribosome has an active site comprised of RNA that catalyzes peptide bond formation. To understand how RNA promotes this reaction requires a detailed understanding of the chemical transition state. Here, we report the Brønsted coefficient of the α-amino nucleophile (β nuc) using a series of puromycin derivatives. Both 50S subunit and 70S ribosome catalyzed reactions displayed linear free-energy relationships with slopes close to zero under conditions where chemistry is rate limiting. These results indicate that at the transition state the nucleophile is neutral in the ribosome catalyzed reaction, in contrast to the substantial positive charge reported for typical uncatalyzed aminolysis reactions. This suggests that the ribosomal transition state involves deprotonation to a degree commensurate with nitrogen-carbon bond formation. Such a transition state is significantly different from that of uncatalyzed aminolysis reactions in solution.

Bacterial peptide display libraries enable the rapid and efficient selection of peptides that have high affinity and selectivity toward their targets. Using a 15-mer random library on the outer surface of Escherichia coli (E.coli), high-affinity peptides were selected against a staphylococcal enterotoxin B (SEB) protein after four rounds of biopanning. On-cell screening analysis of affinity and specificity were measured by flow cytometry and directly compared to the synthetic peptide, off-cell, using peptide-ELISA. DNA sequencing of the positive clones after four rounds of microfluidic magnetic sorting (MMS) revealed a common consensus sequence of (S/T)CH(Y/F)W for the SEB-binding peptides R338, R418, and R445. The consensus sequence in these bacterial display peptides has similar amino acid characteristics with SEB peptide sequences isolated from phage display. The Kd measured by peptide-ELISA off-cell was 2.4 nM for R418 and 3.0 nM for R445. The bacterial peptide display methodology using the semiautomated MMS resulted in the discovery of selective peptides with affinity for a food safety and defense threat. Published 2014. This article is a U.S. Government work and is in the public domain in the USA. Journal of Molecular Recognition published by John Wiley & Sons, Ltd.

Preferential binding of an enzyme to the transition state relative to the ground state is a key strategy for enzyme catalysis. When there is a difference between the ground and transition state charge distributions, enzymes maximize electrostatic interactions to achieve this enhanced transition state binding. Although the transition state is difficult to observe directly by structural methods, the chemical details of this transient species can be characterized by studies of substituent effects (Brønsted, Hammett, Swain-Scott, etc.) and isotope effects. Brønsted analysis can provide an estimate of transition state charges for the nucleophile and leaving group of a reaction. This Account will discuss the theoretical basis of Brønsted analysis and describe its practical application to the study of transacylase enzyme systems including the peptidyl transferase reaction of the ribosome. The Brønsted coefficient is derived from the linear free energy relationship (LFER) that correlates the acidity (pK(a)) of a reactive atom to the log of its rate constant. The Brønsted coefficient establishes the change in atomic charge as the reaction proceeds from the ground state to the transition state. Bonding events alter the electrostatics of atoms and the extent of bonding can be extrapolated from transition state charges. Therefore, well-defined nucleophile and leaving group transition state charges limit the number of mechanisms that are consistent with a particular transition state. Brønsted results are most informative when interpreted in the context of other mechanistic data, especially for enzymatic studies where an active site may promote a transition state that differs significantly from a prediction based on uncatalyzed solution reactions. Here we review Brønsted analyses performed on transacylases to illustrate how these data enhanced the enzymatic mechanistic studies. Through a systematic comparison of five enzymes, we reveal a wide spectrum of Brønsted values that are possible for what otherwise appear to be similar chemical reactions. The variations in the Brønsted coefficients predict different transition states for the various enzymes. This Account explores an overriding theme in the enzymatic mechanisms that catalysis enhances commensurate bond formation and proton abstraction events. The extent of the two bonding events in relationship to each other can be inferred from the Brønsted coefficient. When viewed in the context of recent ribosomal studies, this interpretation provides mechanistic insights into peptide bond formation.