The bromination of triethylamine

The products of bromination of triethylamine have been reinvestigated and shown to be N.N-diethyl di- and tribromoacetamides. The rotational barrier for the dibromoamide was measured, E_a = 40 kJ mol^?1 and found to be considerably lower than that of N,N-diethylacetamide.     

Cucurbit[n]uril formation proceeds by step-growth cyclo-oligomerization

In contrast to the high yield formation of cucurbit[n]uril (CB[n]) from a 1:2 ratio of glycoluril to formaldehyde, the condensation of glycoluril with less than 2 equiv of formaldehyde delivers a reaction mixture that contains glycoluril oligomers (2-6) and CB[n] compounds that lack one or more methylene bridges known as nor-seco-cucurbit[n]urils (ns-CB[n]). In this paper we report the chromatographic purification of C-shaped glycoluril oligomers (dimer-hexamer), their characterization in solution, and their X-ray crystal structures. Quite interestingly, despite being acyclic glycoluril pentamer 5 and hexamer 6 retain the ability to bind to guests typical of CB[6] but are also able to expand their cavity to accommodate larger guests like cationic adamantane derivatives. We performed product resubmission experiments with glycoluril oligomers 2-6 and found preferences for the formation of specific ring sizes during CB[n] formation. A comprehensive mechanistic scheme is proposed that accounts for the observed formation of 2-6 and ns-CB[n]. Overall, the experiments establish that a step-growth cyclo-oligomerization process operates during CB[n] formation.     

Potent and selective peptidyl boronic acid inhibitors of the serine protease prostate-specific antigen

Prostate cancer cells produce high (microgram to milligram/milliliter) levels of the serine protease Prostate-Specific Antigen (PSA). PSA is enzymatically active in the extracellular fluid surrounding prostate cancers but is found at 1,000- to 10,000-fold lower concentrations in the circulation, where it is inactivated due to binding to abundant serum protease inhibitors. The exclusive presence of high levels of active PSA within prostate cancer sites makes PSA an attractive candidate for targeted imaging and therapeutics. A synthetic approach based on a peptide substrate identified first peptide aldehyde and then boronic acid inhibitors of PSA. The best of these had the sequence Cbz-Ser-Ser-Lys-Leu-(boro)Leu, with a K_i for PSA of 65 nM. The inhibitor had a 60-fold higher K_i for chymotrypsin. A validated model of PSA's catalytic site confirmed the critical interactions between the inhibitor and residues within the PSA enzyme.     

A Boolean algebra of characteristic subgroups of a finite group

We construct a “natural” sublattice L(G) of the lattice of all of those subgroups of a finite group G that contain the Frattini subgroup F(G){\Phi(G)} . We show that L(G) is a Boolean algebra, and that its members are characteristic subgroups of G. If F(G){\Phi(G)} is trivial, then L(G) is exactly the set of direct factors U of G such that U and G/U have no common nontrivial homomorphic image.     

Element orders and character codegrees

Let \({g \in G}\) , where G is an arbitrary finite group. Then there exists \({\chi \in {\rm Irr} (G)}\) such that \({{\rm ker}(\chi) \cap \langle g \rangle = 1}\) and every prime divisor of the order o(g) divides the codegree of χ. This improves a recent result of Qian, in which G was assumed to be solvable.     

Design, synthesis, and biological evaluation of estrone-derived hedgehog signaling inhibitors

The design, synthesis, and biological evaluation of new analogs of the naturally occurring compound cyclopamine, a hedgehog signaling inhibitor, are described. Structure-activity relationship studies lead to an evolving model for the pharmacophore of this medically promising compound class of anti-cancer chemotherapeutic agents.     

Blind prediction of host–guest binding affinities: a new SAMPL3 challenge

The computational prediction of protein-ligand binding affinities is of central interest in early-stage drug-discovery, and there is a widely recognized need for improved methods. Low molecular weight receptors and their ligands--i.e., host-guest systems--represent valuable test-beds for such affinity prediction methods, because their small size makes for fast calculations and relatively facile numerical convergence. The SAMPL3 community exercise included the first ever blind prediction challenge for host-guest binding affinities, through the incorporation of 11 new host-guest complexes. Ten participating research groups addressed this challenge with a variety of approaches. Statistical assessment indicates that, although most methods performed well at predicting some general trends in binding affinity, overall accuracy was not high, as all the methods suffered from either poor correlation or high RMS errors or both. There was no clear advantage in using explicit versus implicit solvent models, any particular force field, or any particular approach to conformational sampling. In a few cases, predictions using very similar energy models but different sampling and/or free-energy methods resulted in significantly different results. The protonation states of one host and some guest molecules emerged as key uncertainties beyond the choice of computational approach. The present results have implications for methods development and future blind prediction exercises.     

A structurally biased combinatorial approach for discovering new anti-picornaviral compounds

BACKGROUND: Picornaviruses comprise a family of small, non-enveloped RNA viruses. A common feature amongst many picornaviruses is a hydrophobic pocket in the core of VP1, one of the viral capsid proteins. The pocket is normally occupied by a mixture of unidentified, fatty acid-like moieties, which can be competed out by a family of capsid-binding, antiviral compounds. Many members of the Picornaviridae family are pathogenic to both humans and livestock, yet no adequate therapeutics exist despite over a decade's worth of research in the field. To address this challenge, we developed a strategy for rapid identification of capsid-binding anti-picornaviral ligands. The approach we took involved synthesizing structurally biased combinatorial libraries that had been targeted to the VP1 pocket of poliovirus and rhinovirus. The libraries are screened for candidate ligands with a high throughput mass spectrometry assay. RESULTS: Using the mass spectrometry assay, we were able to identify eight compounds from a targeted library of 75 compounds. The antiviral activity of these candidates was assessed by (i) measuring the effect on the kinetics of viral uncoating and (ii) the protective effect of each drug in traditional cell-based assays. All eight of the candidates exhibited antiviral activity, but three of them were particularly effective against poliovirus and rhinovirus. CONCLUSIONS: The results illustrate the utility of combining structure-based design with combinatorial chemistry. The success of our approach suggests that assessment of small, targeted libraries, which query specific chemical properties, may be the best strategy for surveying all of chemical space for ideal anti-picornaviral compounds.