Structure-specific recognition of quadruplex DNA by organic cations: influence of shape, substituents and charge

Combining structure-specific recognition of nucleic acids with limited sequence reading is a promising method to reduce the size of the recognition unit required to achieve the necessary selectivity and binding affinity to control function. It has been demonstrated recently that G-quadruplex DNA structures can be targeted by organic cations in a structure-specific manner. Structural targets of quadruplexes include the planar end surfaces of the G-tetrad stacked columns and four grooves. These provide different geometries and functional groups relative to duplex DNA. We have used surface plasmon resonance and isothermal titration calorimetry to show that binding affinity and selectivity of a series of quadruplex end-stacking molecules to human telomeric DNA are sensitive to compound shape as well as substituent type and position. ITC results indicate that binding is largely enthalpy driven. Circular dichroism was also used to identify a group of structurally related compounds that selectively target quadruplex grooves.     

A high-affinity folate binding protein in normal human leukocytes: Ligand binding characteristics,ionic charge and molecular size

High-affinity binding of [³H]folate to supernatant from homogenized human leukocytes containing large amounts of binding protein displayed apparent positive cooperativity. The DEAE-Sepharose^® CL-6B chromatographic profile of the supernatant at pH 6.3 contained a major peak of folate binding (M_r approx. 25 000) in the front effluent and a smaller more acidic peak (M_r approx. 25 000) that emerged after a rise in NaCl from 30 mmol/l to 1 mol/l. Triton X-100 solubilized ceil sediment from the leukocyte homogenate contained some high-affinity folate binding activity (M_r approx 25 000), typically 5–10% of the total binding activity.     

The influence of neighborhood size and habitat shape on the accumulation of deleterious mutations.

To examine the impact of genetic neighborhood size and habitat shape on genetic load and the accumulation of deleterious mutation, individual-based simulations were performed in continuously distributed habitats. The risk of extinction increased as both the area of the habitat and the neighborhood size decreased. When the neighborhood area became smaller than the habitat area, habitat shape also began to influence the risk of extinction by mutation loads, expected time to extinction being shorter in longer and narrower habitats than in a square habitat. Both the number of homozygous deleterious loci per individual and the mutation load in the population increased as the neighborhood size and total population size decreased. Neighborhood size and total population size both independently affected the average number of homozygous deleterious loci per individual. In addition, as the ratio of the long to the short side of the rectangle of a habitat increased, the average number of homozygous deleterious loci increased. When the areas of the habitats were held constant, the average number of homozygous loci and the mutation loads were smallest for a regular square and largest for the longest, narrowest habitat. These results suggest that the spatial genetic structure of an individual is an important factor in the accumulation of deleterious mutations and the risk of extinction by mutation meltdown.     

Effect of shape, size, and valency of multivalent mannosides on their binding properties to phytohemagglutinins

Clusters of di-, tri-, and tetra-antennary -D-mannopyranosides were synthesized in good yields based on the coupling of amine-bearing mono- or trisaccharide {Man (16)[Man (13)]Man} haptens to poly-isocyanate or -isothiocyanate tethering cores. The relative binding properties of the resulting multivalent ligands were determined by turbidimetric and solid phase enzyme-linked lectin assays (ELLA) using plant lectins (phytohemagglutinins) Concanavalin A (Con A) and Pisum sativum (pea lectin) having four and two carbohydrate binding sites, respectively. Rapid and efficient cross-linking between tetravalent Con A and mannopyranosylated clusters were measured by a microtiter plate version of turbidimetric analyses. In inhibition of binding of the lectins to yeast mannan, the best tetravalent monosaccharide (30) and trisaccharide (31) inhibitors were shown to be 140 and 1155 times more potent inhibitors than monomeric methyl -D-mannopyranoside against pea lectin and Con A, respectively. Compounds 30 and 31 were thus 35 and 289 fold more potent than the reference monosaccharide based on their hapten contents. As a general observation, the ligands bearing the Man (16)[Man (13)]Man trimannoside structures were found to be more potent inhibitors for Con A than the ligands having single mannoside residues, whereas pea lectin could not discriminate between the two types of ligands.     

Rings of charge within the extracellular vestibule influence ion permeation of the 5-HT3A receptor

The determinants of single channel conductance (γ) and ion selectivity within eukaryotic pentameric ligand-gated ion channels have traditionally been ascribed to amino acid residues within the second transmembrane domain and flanking sequences of their component subunits. However, recent evidence suggests that γ is additionally controlled by residues within the intracellular and extracellular domains. We examined the influence of two anionic residues (Asp(113) and Asp(127)) within the extracellular vestibule of a high conductance human mutant 5-hydroxytryptamine type-3A (5-HT(3)A) receptor (5-HT(3)A(QDA)) upon γ, modulation of the latter by extracellular Ca(2+), and the permeability of Ca(2+) with respect to Cs(+) (P(Ca)/P(Cs)). Mutations neutralizing (Asp → Asn), or reversing (Asp → Lys), charge at the 113 locus decreased inward γ by 46 and 58%, respectively, but outward currents were unaffected. The D127N mutation decreased inward γ by 82% and also suppressed outward currents, whereas the D127K mutation caused loss of observable single channel currents. The forgoing mutations, except for D127K, which could not be evaluated, ameliorated suppression of inwardly directed single channel currents by extracellular Ca(2+). The P(Ca)/P(Cs) of 3.8 previously reported for the 5-HT(3)A(QDA) construct was reduced to 0.13 and 0.06 by the D127N and D127K mutations, respectively, with lesser, but clearly significant, effects caused by the D113N (1.04) and D113K (0.60) substitutions. Charge selectivity between monovalent cations and anions (P(Na)/P(Cl)) was unaffected by any of the mutations examined. The data identify two key residues in the extracellular vestibule of the 5-HT(3)A receptor that markedly influence γ, P(Ca)/P(Cs), and additionally the suppression of γ by Ca(2+).     

The molecular size and shape of liver glycogen.

The molecular-weight distribution of liver glycogen has been established from the analysis of sedimentation rates of fractions separated on sucrose density gradients and from the direct measurement of the diffusion coefficients of these fractions by laser-intensity-fluctuation spectroscopy. Hydrodynamic studies indicated that all fractions of glycogen of mol.wt.exceeding 25x10(6) had about 1.1 g of water per g of polysaccharide associated with them. The hydration and hydrodynamic behaviour of all fractions of mol.wt. exceeding 25x10(6) was similar, whereas smaller fractions behaved anomalously, indicating a substantially different overall structure.     

Hydrophobicity and charge shape cellular metabolite concentrations

What governs the concentrations of metabolites within living cells? Beyond specific metabolic and enzymatic considerations, are there global trends that affect their values? We hypothesize that the physico-chemical properties of metabolites considerably affect their in-vivo concentrations. The recently achieved experimental capability to measure the concentrations of many metabolites simultaneously has made the testing of this hypothesis possible. Here, we analyze such recently available data sets of metabolite concentrations within E. coli, S. cerevisiae, B. subtilis and human. Overall, these data sets encompass more than twenty conditions, each containing dozens (28-108) of simultaneously measured metabolites. We test for correlations with various physico-chemical properties and find that the number of charged atoms, non-polar surface area, lipophilicity and solubility consistently correlate with concentration. In most data sets, a change in one of these properties elicits a ∼100 fold increase in metabolite concentrations. We find that the non-polar surface area and number of charged atoms account for almost half of the variation in concentrations in the most reliable and comprehensive data set. Analyzing specific groups of metabolites, such as amino-acids or phosphorylated nucleotides, reveals even a higher dependence of concentration on hydrophobicity. We suggest that these findings can be explained by evolutionary constraints imposed on metabolite concentrations and discuss possible selective pressures that can account for them. These include the reduction of solute leakage through the lipid membrane, avoidance of deleterious aggregates and reduction of non-specific hydrophobic binding. By highlighting the global constraints imposed on metabolic pathways, future research could shed light onto aspects of biochemical evolution and the chemical constraints that bound metabolic engineering efforts.     

Tissue counter analysis of histologic sections of melanoma: influence of mask size and shape, feature selection, statistical methods and tissue preparation.

BACKGROUND: Tissue counter analysis is an image analysis tool designed for the detection of structures in complex images at the macroscopic or microscopic scale. As a basic principle, small square or circular measuring masks are randomly placed across the image and image analysis parameters are obtained for each mask. Based on learning sets, statistical classification procedures are generated which facilitate an automated classification of new data sets. OBJECTIVE: To evaluate the influence of the size and shape of the measuring masks as well as the importance of feature selection, statistical procedures and technical preparation of slides on the performance of tissue counter analysis in microscopic images. As main quality measure of the final classification procedure, the percentage of elements that were correctly classified was used. STUDY DESIGN: HE-stained slides of 25 primary cutaneous melanomas were evaluated by tissue counter analysis for the recognition of melanoma elements (section area occupied by tumour cells) in contrast to other tissue elements and background elements. Circular and square measuring masks, various subsets of image analysis features and classification and regression trees compared with linear discriminant analysis as statistical alternatives were used. The percentage of elements that were correctly classified by the various classification procedures was assessed. In order to evaluate the applicability to slides obtained from different laboratories, the best procedure was automatically applied in a test set of another 50 cases of primary melanoma derived from the same laboratory as the learning set and two test sets of 20 cases each derived from two different laboratories, and the measurements of melanoma area in these cases were compared with conventional assessment of vertical tumour thickness. RESULTS: Square measuring masks were slightly superior to circular masks, and larger masks (64 or 128 pixels in diameter) were superior to smaller masks (8 to 32 pixels in diameter). As far as the subsets of image analysis features were concerned, colour features were superior to densitometric and Haralick texture features. Statistical moments of the grey level distribution were of least significance. CART (classification and regression tree) analysis turned out to be superior to linear discriminant analysis. In the best setting, 95% of melanoma tissue elements were correctly recognized. Automated measurement of melanoma area in the independent test sets yielded a correlation of r=0.846 with vertical tumour thickness (p<0.001), similar to the relationship reported for manual measurements. The test sets obtained from different laboratories yielded comparable results. CONCLUSIONS: Large, square measuring masks, colour features and CART analysis provide a useful setting for the automated measurement of melanoma tissue in tissue counter analysis, which can also be used for slides derived from different laboratories.     

Influence of charge and size of terminal amino-acid residues on local conformational states and shape of alanine-based peptides

We present results of conformational studies by Circular dichroism and NMR spectroscopy, differential scanning calorimetry, and molecular dynamics, of three alanine-based peptides: Ac-KK-(A)(7)-KK-NH(2) (KAK), Ac-OO-(A)(7)-DD-NH(2) (OAD), and Ac-KK-(A)(7)-EE-NH(2) (KAE), where A, K, O, D, and E, denote alanine, lysine, ornithine, aspartic acid, and glutamic acid residues, respectively. For OAD and KAE, canonical MD simulations with time-averaged NMR-derived restraints demonstrate the presence of an ensemble of structures with a variety of conformational states (polyproline II, alpha-helical, alpha', and extended, turn); for KAK the conformational states are predominantly polyproline II and extended. The OAD peptide exhibits a bent shape with its ends close to each other, whereas KAK and KAE are more extended. The bent shape was also observed in our earlier study of the Ac-XX-(A)(7)-OO-NH(2) (XAO) peptide, where X denotes the diaminobutyric acid residue; therefore, the shape seems to depend on the size of the charged side chains at the ends of the alanine sequence and not on their kind. This suggests that the bent shape of the alanine sequence is formed to enable screening of this nonpolar sequence from the solvent by sufficiently short charged side chains. As in our previous study of the XAO peptide, no long polyproline II segments were observed.     

Sample size considerations in genetic polymorphism studies.

OBJECTIVES: Molecular studies for genetic polymorphisms are being carried out for a number of different applications, such as genetic disorders in different populations, pharmacogenomics, genetic identification of ethnic groups for forensic and legal applications, genetic identification of breed/stock in animals and plants for commercial applications and conservation of germ plasm. In this paper, for a random sampling scheme, we address two questions: (A) What should be the minimum size of the sample so that, with a prespecified probability, all alleles at a given locus (or haplotypes at a given set of loci) are detected? (B) What should be the sample size so that the allele frequency distribution at a given locus (or haplotype frequency distribution at a given set of loci) is estimated reliably within permissible error limits? METHODS: We have used combinatorial probabilistic arguments and Monte Carlo simulations to answer these questions. RESULTS: We found that the minimum sample size required in case A depends mainly on the prespecified probability of detecting all alleles, while in case B, it varies greatly depending on the permissible error in estimation (which will vary with the application). We have obtained the minimum sample sizes for different degrees of polymorphism at a locus under high stringency, as well as a relaxed level of permissible error. We present a detailed sampling procedure for estimating allele frequencies at a given locus, which will be of use in practical applications. CONCLUSION: Since the sample size required for reliable estimation of allele frequency distribution increases with the number of alleles at the locus, there is a strong case for using biallelic markers (like single nucleotide polymorphisms) when the available sample size is about 800 or less.     

Small-molecule protein-protein interaction inhibitors: therapeutic potential in light of molecular size, chemical space, and ligand binding efficiency considerations

As the ultimate function of proteins depends to a great extent on their binding partners, protein-protein interactions (PPIs) represent a treasure trove of possible new therapeutic targets. Unfortunately, interfaces involved in PPIs are not well-suited for effective small molecule binding. Nevertheless, successful examples of small-molecule PPI inhibitors (PPIIs) are beginning to accumulate, and the sheer number of PPIs that form the human interactome implies that, despite the relative unsuitability of PPIs to serve as "druggable" targets, small-molecule PPIIs can still provide novel pharmacological tools and new innovative drugs in at least some areas. Here, after some illustrative examples, accumulating information on the binding efficiency, molecular size, and chemical space requirements will be briefly reviewed. Therapeutic success can only be achieved if these considerations are incorporated into the search process and if careful medicinal chemistry approaches are used to address the absorption, distribution, metabolism, and excretion requirements of larger molecules that are often needed for this target class due to the lower efficiency of binding.     

Hydroxylated 2,3-diarylindenes: synthesis, estrogen receptor binding affinity, and binding orientation considerations

In order to develop high affinity, fluorescent ligands for the estrogen receptor based on 2-arylindenes, it is important to understand how this non-steroidal estrogen is oriented within the binding site and to know how hydroxyl substituents affect binding. To investigate these issues a series of dihydroxyl-substituted 2,3-diphenylindenes were prepared by the cyclization of appropriately substituted alpha-benzyldesoxybenzoins, and their binding affinities for the estrogen receptor measured by a competitive radiometric binding assay. Introduction of a p-hydroxyl group in the 2-phenyl ring of two 2,3-diphenyl-6-hydroxyindene systems causes a 3-fold increase in binding affinity, whereas, p-hydroxylation in the 3-phenyl ring of these systems causes a 2-fold reduction in binding affinity. The parallel change in binding affinity in these two systems suggests a consistent binding orientation of the 2,3-diarylindene systems, which, on the basis of earlier studies, has the indene system corresponding to the A/B-ring system of estradiol. This orientation model and the enhanced affinity of the p-hydroxy 2-ring derivatives are suggestive of a new hydrogen bonding site below the D-ring binding site. Changes in receptor binding affinity upon hydroxylation in triphenylacrylonitrile ligands for the estrogen receptor, reported by others, do not show such parallelism, suggesting that different derivatives may not be bound in congruent orientations. A m-hydroxyl substituent in ring-3 of the 2,3-diarylindene has very little effect on receptor binding. In designing fluorescent 2,3-diarylindene ligands for the estrogen receptor, 3-ring hydroxylation may be useful in reducing non-specific binding and in modifying electron donation to the fluorophore with only modest or no reduction in binding affinity. p-Hydroxylation of the 2-ring, although increasing receptor binding, is not consistent with the electron accepting nature required of this ring.     

The size and shape of human and bovine antithrombin III.

Human and bovine antithrombin, purified by affinity chromatography on heparin-agarose, have been characterized with regard to chemical composition, size, shape and conformation. Both preparations were found to contain several active components of identical or similar size but different electrical charge. Amino acids and carbohydrate analyses revealed striking similarities between human and bovine antithrombin, while immunological analyses failed to demonstrate any cross-reactivity. The molecular weights were determined by sedimentation equilibrium to be 58 000 for human and 56 000 for bovine antithrombin. The small molecular weight difference suggested by these values was verified by several empirical methods of molecular weight estimation. Hydrodynamic measurements indicated that the two proteins have similar molecular shapes, both of which are slightly more extended that that of typical globular proteins. The internal folding of the two polypeptide chains is also similar, as evidenced by the identity of the far-ultraviolet circular dichroism spectra. Specifically, these analyses suggested a low alpha-helix content of both proteins. In conclusion, the marked structural similarity of human and bovine antithrombin indicates that the two proteins may also exhibit extensive functional similarities in the binding of heparin and the inhibition of various coagulation factors.     

Relationships between non-metric skeletal traits and cranial size and shape.

A long-standing controversy exists about the comparative utility of metric and non-metric traits as biological indicators in population studies. We hypothesize that the underlying scale which determines the presence or absence of a cranial non-metric trait is an expression of general and/or local size variation in the cranium. Therefore metric and non-metric traits will share a common developmental determination. The hypothesis implies that the underlying scale of a non-metric trait will be correlated with measures of cranial size and shape. Forty-eight cranial metric and twenty-five cranial non-metric traits were scored on the left side of adult male crania from four North American Indian populations. New threshold traits were generated for each non-metric trait by dichotomizing discriminant scores produced by discriminant function analysis. The discriminant analysis was performed using metric traits to discriminate between groups formed by non-metric trait presence or absence. Every non-metric trait tested was significantly correlated with its threshold trait in at least one population. The correlations were of moderate to high levels depending on the trait and population sample studied. This implies that metric and non-metric traits share a moderate to high degree of developmental determination. The cause of these correlations may lie in the common effects that growth and development of the soft tissue and functional spaces of the cranium exert on both metric and non-metric traits.     

Effects of polyelectrolyte chain stiffness, charge mobility, and charge sequences on binding to proteins and micelles

The binding affinities of polyanions for bovine serum albumin in NaCl solutions from I = 0.01-0.6 M, were evaluated on the basis of the pH at the point of incipient binding, converting each such pH(c) value into a critical protein charge Zc. Analogous values of critical charge for mixed micelles were obtained as the cationic surfactant mole fraction Yc. The data were well fitted as Yc or Zc = KI a, and values of K and a were considered as a function of normalized polymer charge densities (tau), charge mobility, and chain stiffness. Binding increased with chain flexibility and charge mobility, as expected from simulations and theory. Complex effects of tau were related to intrapolyanion repulsions within micelle-bound loops (seen in the simulations) or negative protein domain-polyanion repulsions. The linearity of Zc with radicalI at I < 0.3 M was explained by using protein electrostatic images, showing that Zc at I < 0.3 M depends on a single positive "patch"; the appearance of multiple positive domains I > 0.3 M (lower pH(c)) disrupts this simple behavior.