Some regularities of dynamic accessibility of buried fluorescent residues to external quenchers in proteins

The temperature and viscosity dependences of quenching of buried tryptophan residues of several proteins by external ionic (iodide) and neutral (acrylamide) quenchers have been studied. The effective quenching rate constant is shown to be proportional to the diffusion coefficient of the free solvent (water or 20 vol% glycerol). This fact supports the idea that the accessibility of buried chromophores of proteins to quenchers is based on the dynamic perturbations in protein structure (the dynamic accessibility). These structural perturbations are assumed to be governed by some diffusion-limited processes in the solvent surrounding the protein molecule.     

Chemical genomics: massively parallel technologies for rapid lead identification and target validation

Chemical genomics is a new research paradigm with importantapplications in drug discovery. It links genomic targets withsmall-molecule chemistries thereby allowing for efficient targetvalidation and lead compound identification. ACADIA'schemical-genomics platform consists of a large and diverse small-moleculelibrary (800,000), a reference drug library (2,000), druggablegenomic targets (>300) and a cell-based functional assaytechnology (R-SAT^TM; Receptor Selection and AmplificationTechnology) that allows for ultra-high throughput screening(>500,000 data points/week) as well as high throughputpharmacology and profiling over a wide range of targets. Twoexamples are presented that illustrate the success of ourchemical-genomics approach: (i) The validation of inverse agonismat serotonin 5-HT_2A receptors as an antipsychotic mechanismand the subsequent discovery of potent and selectively acting 5-HT_2A inverse agonists, currently in preclinical development,and (ii) the discovery of the first ectopically binding subtype-selective muscarinic m1 agonist.     

Effects of aging and calorie restriction on the global gene expression profiles of mouse testis and ovary

Background  

The aging of reproductive organs is not only a major social issue, but of special interest in aging research. A long-standing view of 'immortal germ line versus mortal soma' poses an important question of whether the reproductive tissues age in similar ways to the somatic tissues. As a first step to understand this phenomenon, we examine global changes in gene expression patterns by DNA microarrays in ovaries and testes of C57BL/6 mice at 1, 6, 16, and 24 months of age. In addition, we compared a group of mice on ad libitum (AL) feeding with a group on lifespan-extending 40% calorie restriction (CR).     

A machine learning approach to identify hydrogenosomal proteins in Trichomonas vaginalis

The protozoan parasite Trichomonas vaginalis is the causative agent of trichomoniasis, the most widespread nonviral sexually transmitted disease in humans. It possesses hydrogenosomes-anaerobic mitochondria that generate H(2), CO(2), and acetate from pyruvate while converting ADP to ATP via substrate-level phosphorylation. T. vaginalis hydrogenosomes lack a genome and translation machinery; hence, they import all their proteins from the cytosol. To date, however, only 30 imported proteins have been shown to localize to the organelle. A total of 226 nuclear-encoded proteins inferred from the genome sequence harbor a characteristic short N-terminal presequence, reminiscent of mitochondrial targeting peptides, which is thought to mediate hydrogenosomal targeting. Recent studies suggest, however, that the presequences might be less important than previously thought. We sought to identify new hydrogenosomal proteins within the 59,672 annotated open reading frames (ORFs) of T. vaginalis, independent of the N-terminal targeting signal, using a machine learning approach. Our training set included 57 gene and protein features determined for all 30 known hydrogenosomal proteins and 576 nonhydrogenosomal proteins. Several classifiers were trained on this set to yield an import score for all proteins encoded by T. vaginalis ORFs, predicting the likelihood of hydrogenosomal localization. The machine learning results were tested through immunofluorescence assay and immunodetection in isolated cell fractions of 14 protein predictions using hemagglutinin constructs expressed under the homologous SCSα promoter in transiently transformed T. vaginalis cells. Localization of 6 of the 10 top predicted hydrogenosome-localized proteins was confirmed, and two of these were found to lack an obvious N-terminal targeting signal.     

Optimization of isochromanone based urotensin II receptor agonists

A series of novel isochromanone based urotensin II receptor agonists have been synthesized and evaluated for their activity using a functional cell based assay (R-SAT). Several potent and efficacious derivatives were identified with 3-(3,4-dichlorophenyl)-6,7-dimethyl-3-(2-dimethylaminoethyl)isochroman-1-one (28) being the most potent compound showing an EC₅₀-value of 51 nM, thereby being the most potent compound so far within the isochromanone series. In addition, two other heterocyclic systems (isochromanes and tetrahydroisoquinolinones) were investigated and these derivatives were found to be both potent and efficacious. The activity of the isochromane derivatives implies that the carbonyl group of the isochromanone is not necessary for activity. Furthermore it was found that the geometry of the heterocycles was more important for receptor interaction than the composition of the heteroatoms present.