Fluorescence Quenching Studies of Trp Repressor–Operator Interaction

Steady-state quenching and time-resolved fluorescence measurements of L-tryptophan binding to the tryptophan-free mutant W19/99F of the tryptophan repressor of Escherichia coli have been used to observe the coreperessor microenvirnment changes upon ligand binding. Using iodide and acrylamide as quenchers, we have resolved the emission spectra of the corepressor into two components. The bluer component of L-tryptophan buried in the holorepressor exhibits a maximum of the fluorescence emission at 336 nm and can be characterized by a Stern–Volmer quenching constant equal to about 2.0–2.3 M^?1. The second, redder component is exposed to the solvent and possesses the fluorescence emission and Stern–Volmer quenching constant characteristic of L-tryptophan in the solvent. When the Trp holorepressor is bound to the DNA operator, further alterations in the corepressor fluorescence are observed. Acrylamide quenching experiments indicate that the Stern–Volmer quenching constant of the buried component of the corepressor decreases drastically to a value of 0.56 M^?1. The fluorescence lifetimes of L-tryptophan in a complex with Trp repressor decrease substantially upon binding to DNA, which indicates a dynamic mechanism of the quenching process.     

Kinetics and Equilibrium Studies of Tet Repressor–Operator Interaction

Binding of a Tet repressor mutant containing a single Trp43 residue in the tet operator recognition α-helix leads to the quenching of the protein fluorescence down to about 23% in the case of the tet O₁ operator and to 40% in the case of the tet O₂ operator. We have used fluorescence detection to describe the binding equilibrium and kinetics of the Tet repressor interaction with the 20-bp DNA operators tet O₁ and tet O₂. Stopped-flow measurements in an excess of the tet operators performed in 5 mM NaCl or 150 mM NaCl indicate that the reaction can be described by at least three exponentials characterized by different relaxation times. The mechanism of interaction for both operators as well as for two salt concentrations used can be described as TetR + Operator ? Complex 1 ? Complex 2 ? Complex 3. Only the much faster process can be described as a second-order reaction characterized by a bimolecular rate constant equal to 2.8 × 10⁶ M^?1 sec^?1 for both operators. The medium and slow processes may be described by relaxational times ranging from 50 msec to seconds. The results of the binding equilibrium measurements extrapolated to 1 M NaCl concentration, which reflects the specific nonionic interaction between TetR and tet operators, indicate K _as equal to 3.2 × 10⁴ and 4.0 × 10⁵ M^?1 for tet O₁ and tet O₂, respectively. The number of monovalent ions replaced upon binding can be calculated as about 5 and 3 for tet O₁ and tet O₂, respectively. The binding of Tet repressor to the operators leads to changes in the circular dichroism spectra of the DNA which could indicate transitions of B-DNA into A-like DNA structure.     

Studies on the Effect of Water-Soluble Polymers on Drug–Cyclodextrin Complex Solubility

The effect of complexation of irbesartan (IRB), a practically water-insoluble drug, with cyclodextrins in presence of different concentrations of water-soluble polymers (PEG 4000 and PVP K-90) on the dissolution rate of the drug has been investigated. Phase solubility studies were carried out to evaluate the solubilizing power of βCD in association with water-soluble polymers towards IRB and to determine the apparent stability constant (K _S) of the complexes. Improvement in K _S value for ternary complexes (IRB–βCD–polymers) clearly proved the benefit on the addition of water-soluble polymer to increase complexation efficiency. The dissolution rate of the drug from ternary systems containing PEG 4000 and PVP K-90 was higher as compared to the binary system. An optimum increase in the dissolution rate of the drug was observed at a polymer concentration of 5% w/w for PVP K-90 and 10% w/w for PEG 4000. DSC, FTIR, SEM, and XRD studies were carried out to characterize the complexes.     

Synthetic Studies on Derivatives of 5-O-β-d-Galactofuranosyl-d-galactofuranose

Synthetic studies on the derivatives of 5-O-β-d-galactofuranosyl-d-galactofuranose, which is the carbohydrate moiety of helminthosporoside (HS-toxin) from Helminthosporium sacchari, are described.     

Characterization of Cimetidine–Piroxicam Coprecipitate Interaction Using Experimental Studies and Molecular Dynamic Simulations

The crystalline states of cimetidine and piroxicam, when coprecipitated from solvents containing 1:1 mole ratio, were transformed to amorphous states as observed using powder X-ray diffraction (PXRD). Amorphous forms of drugs generally exhibit higher water solubility than crystalline forms. It is therefore interesting to investigate the interactions that cause the transformation of both the crystalline drugs. Intermolecular interactions between the drugs were determined using Fourier-transform infrared spectroscopy (FTIR) and solid-state ¹³C CP/MAS NMR. Molecular dynamic (MD) simulation was performed for the first time for this type of study to indicate the specific groups involved in the interactions based on radial distribution function (RDF) analyses. RDF is a useful tool to describe the average density of atoms at a distance from a specified atom. FTIR spectra revealed a shift of the C≡N stretching band of cimetidine. The ¹³C CP/MAS NMR spectra indicated downfield shifts of C₁₁, C₁₅ and C₇ of piroxicam. RDF analyses indicated that intermolecular interactions occurred between the amide oxygen atom as well as the pyridyl nitrogen of piroxicam and H-N₃ of cimetidine. The hydrogen atom (O–H) at C₇ interacts with the N₁ of cimetidine. Since the MD simulation results are consistent with, and complementary to the experimental analyses, such simulations could provide a novel strategy for investigating specific interacting groups of drugs in coprecipitates, or in amorphous mixtures.     

Extraction of Pharmacokinetic Evidence of Drug–Drug Interactions from the Literature

Drug-drug interaction (DDI) is a major cause of morbidity and mortality and a subject of intense scientific interest. Biomedical literature mining can aid DDI research by extracting evidence for large numbers of potential interactions from published literature and clinical databases. Though DDI is investigated in domains ranging in scale from intracellular biochemistry to human populations, literature mining has not been used to extract specific types of experimental evidence, which are reported differently for distinct experimental goals. We focus on pharmacokinetic evidence for DDI, essential for identifying causal mechanisms of putative interactions and as input for further pharmacological and pharmacoepidemiology investigations. We used manually curated corpora of PubMed abstracts and annotated sentences to evaluate the efficacy of literature mining on two tasks: first, identifying PubMed abstracts containing pharmacokinetic evidence of DDIs; second, extracting sentences containing such evidence from abstracts. We implemented a text mining pipeline and evaluated it using several linear classifiers and a variety of feature transforms. The most important textual features in the abstract and sentence classification tasks were analyzed. We also investigated the performance benefits of using features derived from PubMed metadata fields, various publicly available named entity recognizers, and pharmacokinetic dictionaries. Several classifiers performed very well in distinguishing relevant and irrelevant abstracts (reaching F1≈0.93, MCC≈0.74, iAUC≈0.99) and sentences (F1≈0.76, MCC≈0.65, iAUC≈0.83). We found that word bigram features were important for achieving optimal classifier performance and that features derived from Medical Subject Headings (MeSH) terms significantly improved abstract classification. We also found that some drug-related named entity recognition tools and dictionaries led to slight but significant improvements, especially in classification of evidence sentences. Based on our thorough analysis of classifiers and feature transforms and the high classification performance achieved, we demonstrate that literature mining can aid DDI discovery by supporting automatic extraction of specific types of experimental evidence.     

Camping in a Different Tree: Results of Molecular Systematic Studies of Bats Using DNA–DNA Hybridization

We examined taxa from 13 of the 17 chiropteran families, using single-copy DNA hybridization. Five taxa that either represented points of controversy in systematics or were members of problematic families were included in the experiment. The resulting data were used to build phylogenetic trees of 14 and 19 taxa, and by combining this study's data with those from two previous studies, a supertree of 36 taxa was constructed. The trees based on the three different matrices are compared and contrasted, and a phylogenetic hypothesis supporting the association of the rhinolophoid and the pteropodid groups of bats is presented. On the basis of this study, we conclude that the phylogenetically correct placement of the family Nycteridae is in a clade that does not include their putative relatives, the Rhinolophoidea. Our results suggest that the Emballonuridae, while a monophyletic group, are well embedded within the Yangochiroptera, and do not comprise the sister taxon to all other microbats. This study supports earlier DNA-hybridization results with respect to the placement of Mystacinidae within the Noctilionoidea, replicating those earlier findings. Finally, we determine that Miniopterus may well warrant recognition as a family distinct from the Vespertilionidae in which it is usually placed.     

Interaction of Tetrahydrocortisol–Apolipoprotein A-I Complex with Eukaryotic DNA and with Single-Stranded Oligonucleotides

The complex formed by tetrahydrocortisol (THC) and apolipoprotein A-I (ApoAI) specifically interacts with eukaryotic DNA from rat liver. Taken together, physical and chemical data and the results of small-angle X-ray scattering analysis show that interaction of the THC–ApoAI complex with eukaryotic DNA results in deformation of the DNA double helix. Single-stranded fragments were demonstrated to cause deformation of the double helix. In this state DNA forms complexes with DNA-dependent RNA polymerase. This interaction is cooperative and of saturating type; up to six enzyme molecules bind with one DNA molecule. The putative site of complex binding with DNA is the sequence CC(GCC)_n found in many genes including the human ApoAI gene. An oligonucleotide of this type was synthesized. Its association constant (K _a) was 1.66·10⁶ M^–1. Substitution of THC with cortisol considerably decreases the K _a. We suggest that THC interacting with GC pairs of the binding site forms hydrogen bonds with cytosine, inducing rupture of the bonds within the complementary nucleic base pair.     

Synthesis of β-Diketone DNA Derivatives for Affinity Modification of Proteins

Russian Journal of Bioorganic Chemistry - Diketone DNA derivatives have been proposed to modify the guanidine group of Arg in proteins. The β-diketo group at the C2' atom of the sugar...     

Synthesis and Transmembrane Transport Studies of Lipophilic Adenosine 5′-Triphosphate Derivatives

Abstract

The preparation of acyl adenosine 5′-triphosphates as potential membrane permeable prodrugs is presented. The interaction of myristoyl- and cholesteryloxy-carbonyl-ATP with liposomes as model membranes and the release of ATP inside these vesicles was investigated using an enzymatic assay as well as ³¹P-NMR spectroscopy.     

Interaction of Loach DNA Polymerase δ with DNA Duplexes with Single-Strand Gaps

The interaction of DNA polymerase purified from eggs of the teleost fish Misgurnus fossilis (loach) with DNA duplexes with single-strand gaps of 1-13 nucleotides was studied. In the absence of template-restricting DNA, the enzyme elongated primers on single-stranded DNA templates in a distributive manner. However, in the presence of the proximal 5"-terminus restricting the template, the enzyme activity significantly increased. In this case, the enzyme was capable of processive synthesis by filling gaps of 5-9 nucleotides in DNA duplexes. These data indicate that DNA polymerase can interact with both the 3"- and 5"-termini located upstream and downstream from the gap. Analysis of the complexes formed by DNA polymerase and different DNA substrates by electrophoretic mobility shift assay confirmed the assumption that this enzyme can interact with the proximal 5"-terminus restricting the gap. DNA polymerase displayed much higher affinity in duplexes with gaps of approximately 10 nucleotides compared to the standard template–primer complexes. Maximal affinity was observed in experiments with DNA substrates containing unpaired 3"-tails in primers. The results of this study suggest that DNA polymerase exerts high activity in the cell nuclei during repair of DNA intermediates with single strand gaps and unpaired 3"-termini.     

Interaction of Topotecan,DNA Topoisomerase I Inhibitor,with Double-Stranded Polydeoxyribonucleotides. 2. Formation of Topotecan–DNA Complex Containing Several DNA Molecules

This study is a continuation of a series of papers dealing with topotecan interaction with double-stranded polydeoxyribonucleotides. We showed earlier that topotecan molecules form dimers in solution at concentration above 10^–5(per base pair). Topotecan interaction with calf thymus DNA in solutions of low ionic strength was studied by fluorescence, circular dichroism, and linear flow dichroism. The data obtained indicate that topotecan forms two types of complex with DNA, DNA molecules combining with each other during formation of one of these complexes. The association constant of two topotecan-filled DNA molecules with each other was estimated at 10⁴M^–1(per base pair) in 1 mM sodium cacodylate buffer, pH 6.8, at 20°C. A possibility of modulation of DNA topoisomerase I activity by topotecan due to complexation with several sites of a supercoiled DNA molecule is discussed.     

Metabolism, Pharmacogenetics, and Metabolic Drug–Drug Interactions of Antipsychotic Drugs

1. Antipsychotic drugs are extensively metabolised by cytochrome P450 (CYP) enzymes.2. Dispositions of a number of antipsychotic drugs have been shown to cosegregate with polymorphism of CYP2D6.3. Metabolic drug–drug interactions have frequently been observed when antipsychotics are coadministered with other drugs.4. Many antipsychotic drugs are converted to active metabolites which can contribute to the therapeutic or side effects of the parent drug.5. Information concerning the individual CYP isoenzymes involved in the metabolism of antipsychotic drugs is important for the safe clinical use of this group of drugs.     

Studies on the Origin of the Traditional Chinese Drug “Jinxiong”

A comparison of morphology, karyotype and the chemical compounds among “Jinxiong”, Ligasticum chuanxiong Hort. and L. chuanxiong cv. Fuxiong shows that “Jin-xiong”, like L. chuanxiong cv. Fuxiong, is a triploid and its karyotype is similar to that of L. chuanxiong with the formula K(2n)=33=24m+6sm+3st(SAT). Thin-layer chromatography of essential oils extracted from stem tubers confirms that the three taxa are extremely alike in chemical compounds. Using the features of leaves and the forms of stem tubers, they can be easily distinguished. A new triploid cultivar of L. chuanxiong Hort. i.e.L. chuan-xiong cv. Jinxiong is described for “Jinxiong” in the present paper.     

Inhibitory Activities of E–64 Derivatives on Papain

In order to investigate the active site of inhibition of E–64 against papain, the constituents of E-64 and their derivatives were synthesized and their activities on papain were assayed. It was consequently found trans-epoxysuccinic acid was essential for the activity. The difference of its optical activity gave no influence on the activity, but cis-form had no activity. Moreover, the structure-activity relationship of a series of the esters of trans-epoxysuccinic acid was also discussed. From these results, it was suggested that both epoxide and carbonyl group are important in the manifestation of the inhibitory action.     

Context-Dependent Remodeling of Rad51–DNA Complexes by Srs2 Is Mediated by a Specific Protein–Protein Interaction

The yeast Srs2 helicase removes Rad51 nucleoprotein filaments from single-stranded DNA (ssDNA), preventing DNA strand invasion and exchange by homologous recombination. This activity requires a physical interaction between Srs2 and Rad51, which stimulates ATP turnover in the Rad51 nucleoprotein filament and causes dissociation of Rad51 from ssDNA. Srs2 also possesses a DNA unwinding activity and here we show that assembly of more than one Srs2 molecule on the 3′ ssDNA overhang is required to initiate DNA unwinding. When Rad51 is bound on the double-stranded DNA, its interaction with Srs2 blocks the helicase (DNA unwinding) activity of Srs2. Thus, in different DNA contexts, the physical interaction of Rad51 with Srs2 can either stimulate or inhibit the remodeling functions of Srs2, providing a means for tailoring DNA strand exchange activities to enhance the fidelity of recombination.     

Efficiency of the miRNA–mRNA Interaction Prediction Programs

miRNAs play a key role in regulation of gene expression. Nowadays it is known more than 2500 human miRNAs, while a majority of miRNA–mRNA interactions remains unidentified. The recent development of a high-throughput CLASH (crosslinking, ligation and sequencing of hybrids) technique for discerning miRNA–mRNA interactions allowed an experimental analysis of the human miRNA–mRNA interactome. Therefore, it allowed us, for the first time, make an experimental analysis of the human miRNA–mRNA interactome as a whole and an evaluation of the quality of most commonly used miRNA prediction tools (TargetScan, PicTar, PITA, RNA22 and miRanda). To estimate efficiency of the miRNA–mRNA prediction tools, we used next parameters: sensitivity, positive predicted value, predictions in different mRNA regions (3' UTR, CDS, 5' UTR), predictions for different types of interactions (5 classes), predictions of “canonical” and “nocanonical” interactions, similarity with the random generated data. The analysis revealed low efficiency of all prediction programs in comparison with the CLASH data in terms of the all examined parameters.