Structure-activity relationships of piperazinebenzylamines as potent and selective agonists of the human melanocortin-4 receptor

SAR studies on a series of piperazinebenzenes directed toward the human melanocortin-4 receptor resulted in potent MC4R agonists. Replacement of the triazole moiety of an initial lead 4 by a basic nitrogen baring a lipophilic side-chain increased the binding affinities of these compounds. Analogs bearing an additional hetero-atom in the side-chain possessed good agonist potency. Thus, 11h had a Ki of 11 nM, and 13g exhibited an EC50 of 3.8 nM and a Ki of 6.4 nM.     

A model-based optimization framework for the inference on gene regulatory networks from DNA array data

MOTIVATION: Identification of the regulatory structures in genetic networks and the formulation of mechanistic models in the form of wiring diagrams is one of the significant objectives of expression profiling using DNA microarray technologies and it requires the development and application of identification frameworks. RESULTS: We have developed a novel optimization framework for identifying regulation in a genetic network using the S-system modeling formalism. We show that balance equations on both mRNA and protein species led to a formulation suitable for analyzing DNA-microarray data whereby protein concentrations have been eliminated and only mRNA relative concentrations are retained. Using this formulation, we examined if it is possible to infer a set of possible genetic regulatory networks consistent with observed mRNA expression patterns. Two origins of changes in mRNA expression patterns were considered. One derives from changes in the biophysical properties of the system that alter the molecular-interaction kinetics and/or message stability. The second is due to gene knock-outs. We reduced the identification problem to an optimization problem (of the so-called mixed-integer non-linear programming class) and we developed an algorithmic procedure for solving this optimization problem. Using simulated data generated by our mathematical model, we show that our method can actually find the regulatory network from which the data were generated. We also show that the number of possible alternate genetic regulatory networks depends on the size of the dataset (i.e. number of experiments), but this dependence is different for each of the two types of problems considered, and that a unique solution requires fewer datasets than previously estimated in the literature. This is the first method that also allows the identification of every possible regulatory network that could explain the data, when the number of experiments does not allow identification of unique regulatory structure.     

Two-stage optimization process for formulation of chitosan microspheres

The objective of the present study was to optimize the concentration of a chitosan solution, stirring speed, and concentration of drugs having different aqueous solubility for the formulation of chitosan microspheres. Chitosan microspheres (unloaded and drug loaded) were prepared by the chemical denaturation method and were subjected to measurement of morphology, mean particle size, particle size distribution, percentage drug entrapment (PDE), drug loading, and drug release (in vitro). Morphology of the microspheres was dependent on the level of independent process parameters. While mean particle size of unloaded microspheres was found to undergo significant change with each increase in concentration of chitosan solution, the stirring rate was found to have a significant effect only at the lower level (ie, 2000 to 3000 rpm). Of importance, spherical unloaded microspheres were also obtained with a chitosan solution of concentration less than 1 mg/mL. Segregated unloaded microspheres with particle size in the range of 7 to 15 microm and mean particle size of 12.68 microm were obtained in the batch prepared by using a chitosan solution of 2 mg/mL concentration and stirring speed of 3000 rpm. The highest drug load ( microg drug/mg microspheres) was 50.63 and 13.84 for microspheres containing 5-fluorouracil and methotrexate, respectively. While the release of 5-fluorouracil followed Higuchi's square-root model, methotrexate released more slowly with a combination of first-order kinetics and Higuchi's square-root model. The formation of chitosan microspheres is helped by the use of differential stirring. While an increase in the concentration of water-soluble drug may help to increase PDE and drug load over a large concentration range, the effect is limited in case of water-insoluble drugs.     

Application of electrospray ionization mass spectrometry to study the hydrophobic interaction between the epsilon and theta subunits of DNA polymerase III

The interactions between the N-terminal domain of the epsilon (epsilon186) and theta subunits of DNA polymerase III of Escherichia coli were investigated using electrospray ionization mass spectrometry. The epsilon186-theta complex was stable in 9 M ammonium actetate (pH 8), suggesting that hydrophobic interactions have a predominant contribution to the stability of the complex. Addition of primary alkanols to epsilon186-theta in 0.1 M ammonium acetate (pH 8), led to dissociation of the complex, as observed in the mass spectrometer. The concentrations of methanol, ethanol, and 1-propanol required to dissociate 50% of the complex were 8.9 M, 4.8 M, and 1.7 M, respectively. Closer scrutiny of the effect of alkanols on epsilon186, theta, and epsilon186-theta showed that epsilon186 formed soluble aggregates prior to precipitation, and that the association of epsilon186 with theta stabilized epsilon186. In-source collision-induced dissociation experiments and other results suggested that the epsilon186-theta complex dissociated in the mass spectrometer, and that the stability (with respect to dissociation) of the complex in vacuo was dependent on the solution from which it was sampled.     

LOC3D: annotate sub-cellular localization for protein structures

LOC3D (http://cubic.bioc.columbia.edu/db/LOC3d/) is both a weekly-updated database and a web server for predictions of sub-cellular localization for eukaryotic proteins of known three-dimensional (3D) structure. Localization is predicted using four different methods: (i) PredictNLS, prediction of nuclear proteins through nuclear localization signals; (ii) LOChom, inferring localization through sequence homology; (iii) LOCkey, inferring localization through automatic text analysis of SWISS-PROT keywords; and (iv) LOC3Dini, ab initio prediction through a system of neural networks and vector support machines. The final prediction is based on the method that predicts localization with the highest confidence. The LOC3D database currently contains predictions for >8700 eukaryotic protein chains taken from the Protein Data Bank (PDB). The web server can be used to predict sub-cellular localization for proteins for which only a predicted structure is available from threading servers. This makes the resource of particular interest to structural genomics initiatives.     

Recognition of PSA-derived peptide antigens by T cells from prostate cancer patients without any prior stimulation

Prostate-specific antigen (PSA) is a valuable marker antigen for prostate cancer. Lately considerable interest has been generated in the prospect of developing a vaccine for prostate cancer with PSA-derived peptide epitopes to induce cytotoxic T-cell (CTL) response. We report here that T cells capable of exhibiting PSA epitope-specific effector function-in their native state, i.e, without having to be further stimulated, in vitro-are detectable in more than half of the prostate cancer patients we studied. Ex vivo cultured autologous dendritic cells (DC) were used to present four HLA-A2-binding PSA peptide epitopes to freshly isolated peripheral blood lymphocytes (PBL) from patients and healthy volunteers. Ten out of 14 patients' PBL recognized at least one of the four peptides and 6 out of 10 patients' PBL recognized more than one peptide antigen as measured by IFN-gamma secretion upon stimulation of the PBL with the peptide antigen. Intracytoplasmic cytokine analysis for IFN-gamma in purified CD8(+) cells after stimulation with peptide antigens was tested in 6 patients and this technique demonstrated a similar response. Freshly isolated and purified CD8(+) cells when tested, also recognized the epitopes, as measured by IFN assay, when presented by transporter associated with antigen-processing (TAP) deficient T2 cells in an MHC-I restricted fashion. PBL from 9 normal donors when tested in identical fashion did not show any IFN-gamma production in recognition to the peptide antigens. Interestingly, neither of these CD8(+) T cells having IFN-gamma-producing ability did show any cytolytic activity in their native state against peptide loaded target cells or tumor cells when tested in cytotoxicity assay. In long term cocultures stimulation of purified CD8(+) T cells with matured DC pulsed with PSA peptides generated a PSA-specific CTL response in 4 of 6 patients studied and in 2 of 9 normal donors. While our observations of CTL generation are consistent with the prior reports that have demonstrated that specific CD8(+) CTL could be generated which recognize PSA-derived epitopes by in vitro stimulation by one means or another, this observation that IFN-gamma-producing CD8(+) T cells are present in patients which are antigen experienced, and do not require in vitro stimulation, is novel and has major implications for prostate cancer vaccine preparation.     

Computational approach for prediction of domain organization and substrate specificity of modular polyketide synthases

Modular polyketide synthases (PKSs) are large multi-enzymatic, multi-domain megasynthases, which are involved in the biosynthesis of a class of pharmaceutically important natural products, namely polyketides. These enzymes harbor a set of repetitive active sites termed modules and the domains present in each module dictate the chemical moiety that would add to a growing polyketide chain. This modular logic of biosynthesis has been exploited with reasonable success to produce several novel compounds by genetic manipulation. However, for harnessing their vast potential of combinatorial biosynthesis, it is essential to develop knowledge based in silico approaches for correlating the sequence and domain organization of PKSs to their polyketide products. In this work, we have carried out extensive sequence analysis of experimentally characterized PKS clusters to develop an automated computational protocol for unambiguous identification of various PKS domains in a polypeptide sequence. A structure based approach has been used to identify the putative active site residues of acyltransferase (AT) domains, which control the specificities for various starter and extender units during polyketide biosynthesis. On the basis of the analysis of the active site residues and molecular modelling of substrates in the active site of representative AT domains, we have identified a crucial residue that is likely to play a major role in discriminating between malonate and methylmalonate during selection of extender groups by this domain. Structural modelling has also explained the experimentally observed chiral preference of AT domain in substrate selection. This computational protocol has been used to predict the domain organization and substrate specificity for PKS clusters from various microbial genomes. The results of our analysis as well as the computational tools for prediction of domain organization and substrate specificity have been organized in the form of a searchable computerized database (PKSDB). PKSDB would serve as a valuable tool for identification of polyketide products biosynthesized by uncharacterized PKS clusters. This database can also provide guidelines for rational design of experiments to engineer novel polyketides.     

Isolation of etiological agent of hydropericardium syndrome in chicken embryo liver cell culture and its serological characterization

The virus causing hydropericardium syndrome was isolated in chicken embryo liver (CEL) cell culture from livers obtained from naturally infected broilers. The cytopathic effects characterized by rounding and degeneration of cells were visible 36 hr post infection in first passage. At 4th passage level, the infectivity titre was 5.24 log10 TCID50/ml. In May-Grunwald and Giemsa stained cells, basophilic intranuclear inclusions ('bird eye' inclusion), typical of aviadenovirus infection, were observed. The specificity of inclusion was confirmed by indirect immunofluorescence. Various serological tests, such as agar gel precipitation test, counter immuno electrophoresis, micro serum neutralization test and enzyme linked immunosorbent assay were also standardized to confirm the isolation of etiological agent of hydropericardium syndrome in CEL cell culture and to diagnose the disease in poultry.