Computational neural network analysis of the affinity of N-n-alkylnicotinium salts for the α4β2* nicotinic acetylcholine receptor

Based on an 85 molecule database, linear regression with different size datasets and an artificial neural network approach have been used to build mathematical relationships to fit experimentally obtained affinity values (K_i) of a series of mono- and bis-quaternary ammonium salts from [³H]nicotine binding assays using rat striatal membrane preparations. The fitted results were then used to analyze the pattern among the experimental K_i values of a set of N-n-alkylnicotinium analogs with increasing n-alkyl chain length from 1 to 20 carbons. The affinity of these N-n-alkylnicotinium compounds was shown to parabolically vary with increasing numbers of carbon atoms in the n-alkyl chain, with a local minimum for the C₄ (n-butyl) analogue. A decrease in K_i value between C₁₂ and C₁₃ was also observed. The statistical results for the best neural network fit of the 85 experimental K_i values are r² = 0.84, rmsd = 0.39; r_cv² = 0.68, and loormsd = 0.56. The generated neural network model with the 85 molecule training set may also be of value for future predictions of K_i values for new virtual compounds, which can then be identified, subsequently synthesized, and tested experimentally.     

Synthesis of new arylalkoxy amido derivatives as melatoninergic ligands

Amido derivatives 10-18 of the corresponding oxyamines were synthesised as melatoninergic ligands by the reaction of hydroxyphtalimide with the halogeno derivatives or the corresponding alcohols using Mitsunobu reaction conditions. The affinity of the compounds for chicken brain melatonin receptors and recombinant human MT(1) and MT(2) receptors was evaluated using 2-[125I]-iodomelatonin as the radioligand. Overall, the introduction of an oxygen atom in the amido chain was not a favourable parameter as the compounds were less potent than the corresponding deoxy derivatives. However, nanomolar compounds were obtained with the arylethyloxy derivatives (13c (R'=nPr), chicken brain, hMT(1), hMT(2), K(i) values: 4.8, 3.86, 2.4 nM, respectively) and the 2,7-dimethoxynaphthalene derivatives (17c (R'=nPr), chicken brain, hMT(1), hMT(2), K(i) values: 0.04, 0.13, 0.1 nM, respectively). The functional activity of these compounds was evaluated by the aggregation of melanophores in Xenopus laevis tadpoles and the potency was related to the affinity of the molecules for melatonin receptors. The compounds were found to be full agonists and compound 17a was 20-fold more potent than melatonin in this bioassay.     

Kinetic analysis of the interaction between HIV-1 protease and inhibitors using optical biosensor technology

The interaction between HIV-1 protease and reversible inhibitors was studied by surface plasmon resonance biosensor technology. The steady-state binding level and the time course of association and dissociation could be observed by measuring the binding of inhibitors injected in a continuous flow of buffer to the immobilized enzyme. Fourteen low molecular weight inhibitors (500-700 Da), including the four clinically used HIV-1 protease inhibitors (indinavir, nelfinavir, ritonavir, and saquinavir), were analyzed. Affinities were estimated as B(50) values from a series of sensorgrams at different concentrations of inhibitors. These values were found to be correlated with inhibition constants (K(i)) determined by an enzyme inhibition assay (r(2) = 0.84, logarithmic values). Dissociation rates were estimated at a single saturating concentration of the inhibitors as t(1/2,obs), but these values did not correlate with K(i) (r(2) = 0.26, logarithmic values). Indinavir had the highest affinity (B(50) = 11 nM) and the fastest dissociation (t(1/2,obs) = 500 s) among the clinically used inhibitors while saquinavir had a lower affinity (B(50) = 25 nM) and the slowest dissociation rate (t(1/2,obs) = 6500 s). Since these two inhibitors have similar K(i) values, the differences in dissociation rates reveal important characteristics in the interaction that cannot be obtained by the inhibition studies. The biosensor data are expected to be of greater in vivo relevance since the experiments were performed in a buffer more similar to physiological conditions.     

Structure-based discovery of a novel,noncovalent inhibitor of AmpC beta-lactamase

beta-lactamases are the most widespread resistance mechanisms to beta-lactam antibiotics, and there is a pressing need for novel, non-beta-lactam drugs. A database of over 200,000 compounds was docked to the active site of AmpC beta-lactamase to identify potential inhibitors. Fifty-six compounds were tested, and three had K(i) values of 650 microM or better. The best of these, 3-[(4-chloroanilino)sulfonyl]thiophene-2-carboxylic acid, was a competitive noncovalent inhibitor (K(i) = 26 microM), which also reversed resistance to beta-lactams in bacteria expressing AmpC. The structure of AmpC in complex with this compound was determined by X-ray crystallography to 1.94 A and reveals that the inhibitor interacts with key active-site residues in sites targeted in the docking calculation. Indeed, the experimentally determined conformation of the inhibitor closely resembles the prediction. The structure of the enzyme-inhibitor complex presents an opportunity to improve binding affinity in a novel series of inhibitors discovered by structure-based methods.     

Synthesis and binding affinity of novel mono- and bivalent morphinan ligands for κ, μ, and δ opioid receptors

A novel series of homo- and heterodimeric ligands containing κ/μ agonist and μ agonist/antagonist pharmacophores joined by a 10-carbon ester linker chain were synthesized and evaluated for their in vitro binding affinity at κ, μ, and δ opioid receptors, and their functional activities were determined at κ and μ receptors in [(35)S]GTPγS functional assays. Most of these compounds had high binding affinity at μ and κ receptors (K(i) values less than 1nM). Compound 15b, which contains butorphan (1) at one end of linking chain and butorphanol (5) at the other end, was the most potent ligand in this series with binding affinity K(i) values of 0.089nM at the μ receptor and 0.073nM at the κ receptor. All of the morphinan-derived ligands were found to be partial κ and μ agonists; ATPM-derived ligands 12 and 11 were found to be full κ agonists and partial μ agonists.     

Synthesis, conformational analysis and CB1 binding affinity of hairpin-like anandamide pseudopeptide mimetics.

We have designed, synthesized and evaluated the CB(1) binding affinity of a number of new conformationally restricted lipopeptides (1-17). All of them present some of the AEA key structural elements incorporated in a hairpinlike peptide framework. Among them, compounds 1-3 and 8 showed CB(1) affinities in competitive binding assays with K(i) values in the micromolar range (K(i) of AEA = 0.8 microM in the same assay). The remaining pseudopeptides showed little binding to the CB(1) receptor (with K(i) values >or= 50 microM). Conformational analysis on two representative compounds, performed by a combination of NMR studies, restrained molecular dynamics and QM calculations, allowed us to shed light on the structure-activity relationships (SAR), pointing to a correlation between the predominance of the hairpin-like structural motif and the CB(1) binding affinity. In a more general context, the present study may also prove useful in gaining additional insight into the biological relevance of the various AEA conformations.     

Spectrin properties and the elasticity of the red blood cell membrane skeleton

Two models of spectrin elasticity are developed and compared to experimental measurements of the red blood cell (RBC) membrane shear modulus through the use of an elastic finite element model of the RBC membrane skeleton. The two molecular models of spectrin are: (i) An entropic spring model of spectrin as a flexible chain. This is a model proposed by several previous authors. (ii) An elastic model of a helical coiled-coil which expands by increasing helical pitch. In previous papers, we have computed the relationship between the stiffness of a single spectrin molecule (K) and the shear modulus of a network (μ), and have shown that this behavior is strongly dependent upon network topology. For realistic network models of the RBC membrane skeleton, we equate μ to micropipette measurements of RBCs and predict K for spectrin that is consistent with the coiled-coil molecular model. The value of spectrin stiffness derived from the entropic molecular model would need to be at least 30 times greater to match the experimental results. Thus, the conclusion of this study is that a helical coiled-coil model for spectrin is more realistic than a purely entropic model.     

Artificial intelligence based optimization of exocellular glucansucrase production from Leuconostoc dextranicum NRRL B-1146

Two different artificial intelligence techniques namely artificial neural network (ANN) and genetic algorithm (GA) were integrated for optimizing fermentation medium for the production of glucansucrase. The experimental data reported in a previous study were used to build the neural network. The ANN was trained using the back propagation algorithm. The ANN predicted values showed good agreement with the experimentally reported ones from a response surface based experiment. The concentrations of three medium components: viz Tween 80, sucrose and K(2)HPO(4) served as inputs to the neural network model and the enzyme activity as the output of the model. A model was generated with a coefficient of correlation (R(2)) of 1.0 for the training set and 0.90 for the test data. A genetic algorithm was used to optimize the input space of the neural network model to find the optimum settings for maximum enzyme activity. This artificial neural network supported genetic algorithm predicted a maximum glucansucrase activity of 6.92U/ml at medium composition of 0.54% (v/v) Tween 80, 5.98% (w/v) sucrose and 1.01% (w/v) K(2)HPO(4). ANN-GA predicted model gave a 6.0% increase of enzyme activity over the regression based prediction for optimized enzyme activity. The maximum enzyme activity experimentally obtained using the ANN-GA designed medium was 6.75+/-0.09U/ml which was in good agreement with the predicted value.     

Design and synthesis of opioidmimetics containing 2',6'-dimethyl-L-tyrosine and a pyrazinone-ring platform

Twelve 2',6'-dimethyl-L-tyrosine (Dmt) analogues linked to a pyrazinone platform were synthesized as 3- or 6-[H-Dmt-NH(CH(2))(n)],3- or 6-R-2(1H)-pyrazinone (n=1-4). 3-[H-Dmt-NH-(CH(2))(4)]-6-beta-phenethyl-5-methyl-2(1H)-pyrazinone 11 bound to mu-opioid receptors with high affinity (K(i)mu=0.13 nM; K(i)delta/K(i)mu=447) with mu-agonism (GPI IC(50)=15.9 nM) and weak delta-antagonism (MVD pA(2)=6.35). Key factors affecting opioid affinity and functional bioactivity are the length of the aminoalkyl chain linked to Dmt and the nature of the R residue. These data present a simplified method for the formation of pyrazinone opioidmimetics and new lead compounds.     

3D-QSAR CoMFA/CoMSIA studies on Urokinase plasminogen activator (uPA) inhibitors: a strategic design in novel anticancer agents

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) was performed on a series of indole/benzoimidazole-5-carboxamidines as urokinase plasminogen activator (uPA) inhibitors. The ligand molecular superimposition on template structure was performed by atom/shape-based RMS fit, multifit, and RMSD fit methods. The removal of two outliers from the initial training set of 30 molecules improved the predictivity of the models. The statistically significant model was established from 28 molecules, which were validated by evaluation of test set of nine compounds. The atom-based RMS alignment yielded best predictive CoMFA model (r2(cv) = 0.611, r2(cnv) = 0.778, F value = 43.825, r2(bs) = 0.842, r2(pred) = 0.616 with two components) while the CoMSIA model yielded (r2(cv) = 0.499, r2(cnv) = 0.976, F value=96.36, r2(bs) = 0.993, r2(pred) = 0.694 with eight components). The contour maps obtained from 3D-QSAR studies were appraised for the activity trends of the molecules analyzed. The results indicate that the steric, electrostatic, and hydrogen bond donor/acceptor substituents play significant role in uPA activity and selectivity of these compounds. The data generated from the present study can be used as putative pharmacophore in the design of novel, potent, and selective urokinase plasminogen activator inhibitors as cancer therapeutics.     

Binding interactions and conformational changes induced by sulfonated aluminum phthalocyanines in human serum albumin.

Phthalocyanines (Pc), which are extensively studied as tumor localizing photosensitizers for photodynamic therapy, are transported by the blood circulatory system to target tissues. Binding interactions between human serum albumin and differently sulfonated aluminum phthalocyanines (AlPcSn; n = 1-4) were studied using optical and ESR spectroscopy. AlPcSn (n = 1-3) occupy one strong binding site and eight weaker sites. The high affinity binding site interactions differ with respect to the degree of sulfonation and isomeric composition of the Pc. Phthalocyanines without SO-3 groups on adjacent iso-indole rings exhibit a high affinity binding site constant of K approximately 3-4 x 10(7) M-1, while Pc with two or three adjacent SO-3 groups show binding for this high affinity site that is no longer independent, but cooperative (alpha = 2), with K approximately 2-6 x 10(6) M-1. Binding isotherms for AlPcS4 and its close analog, tempoyl spin-labeled SL-AlPcS3, do not approach saturation at high ligand concentrations. Competition analyses between AlPcSn and spin-labeled fatty acids (5- and 16-doxyl stearate isomers) reveal that all compounds participate in cooperative (allosteric) interactions with the high affinity binding site of 16-DS, while extruding 5-DS isomer from certain sites and increasing the binding affinity for the remaining. Protein conformational dynamics was studied by ESR spectroscopy using covalent (alkylation of Cys34 residue) and noncovalent spin labeling (employing SL-AlPcS3). Phthalocyanines perturb conformational dynamics parameters (tauc and S) depending on the degree of sulfonation and isomeric composition corresponding to the type of sites, i.e., independent or cooperative, occupied on the HSA molecule.     

Specific DNA recognition by the type II restriction endonuclease MunI: the effect of pH.

To investigate the effect of pH on sequence-specific binding, a thermodynamic characterization of the interaction of the protein MunI with a specific, and a nonspecific, oligonucleotide was performed. MunI is a type II restriction endonuclease which is able to bind specifically, but loses its enzymatic activity in the absence of magnesium ions. Comparison of the specific and nonspecific interactions at 10 and 25 degrees C shows that the latter is accompanied by a small change in enthalpy, and a negligible change in constant pressure heat capacity. On going through the pH range 5.75-9.0 at 25 degrees C, the affinity of specific complex formation is reduced by 20-fold. The interaction is accompanied by the protonation of groups assumed to be on the protein. Based on the simplest model that will fit the data, two distinct protonation events are observed. At low pH, two groups per protein molecule undergo protonation with a pK(a) of 6.0 and 6.9 in the free and bound forms, respectively. At high pH, a further independent protonation occurs involving two groups with pK(a) values of 8.9 and approximately 10.7 in the free and bound forms, respectively. The change in heat capacity ranges from -2.7 to -1.7 kJ mol(-1) K(-1) in going from pH 6.5 to 8.5. This range of variation of change in heat capacity can be accounted for by the effects of protonation of the interacting molecules. The change in heat capacity, calculated from surface area burial using a previously established relationship (1.15 kJ mol(-1) K(-1)), does not correlate well with the experimentally determined values.     

Synthesis and monoamine transporter affinity of 3'-analogs of 2-beta-carbomethoxy-3-beta-(4'-iodophenyl)tropane (beta-CIT)

The 3'-iodo positional isomer of 2-beta-carbomethoxy-3-beta-(4'-iodophenyl)tropane (beta-CIT) and other 3'-substituted analogs were synthesized and evaluated for binding to monoamine transporters in rat forebrain and membranes of cell lines selectively expressing human transporter genes. All 3'-substituted compounds displayed affinity for both serotonin (SERT) and dopamine (DAT), but much less for norepinephrine transporters (NET), with selectivity for rat (r) or human (h) SERT over NET, but only 3'-iodo-substituted phenyltropanes showed selectivity for SERT versus DAT. The 3'-iodo, N-methyl analog of beta-CIT (7) displayed 29-fold selectivity and high affinity for hSERT (K(i) =9.6 nM) over hDAT (K(i) =279 nM), and its nor-congener (8) showed even higher hSERT potency (K(i) =1.2 nM) and selectivity over DAT (415-fold).     

Tyrosine 70 fine-tunes the catalytic efficiency of aspartate aminotransferase.

The aspartate aminotransferase mutant Y70F exhibits kcat = 8% and kcat/KM = 2% of the wild type values for the transamination of aspartate and alpha-ketoglutarate. The affinity of the enzyme for the noncovalently bound inhibitor maleate is reduced 17-fold by the mutation, while only a 2.5-fold reduction is observed for alpha-methylaspartate, which forms a stable, covalent external aldimine. The high population of the quinonoid intermediate formed in the reaction of the wild type with beta-hydroxyaspartate is more than 75% diminished by the mutation. The values of the Y70F C alpha-H kinetic isotope effects for the aspartate reaction are larger than those of wild type (DV = 2.4 vs 1.52; D(V/K) = 2.5 vs 1.7). Conversely, the Y70F value of D(V/K) for the glutamate reaction is decreased compared to wild type (1.75 vs 2.5). These results, combined with previous studies of Lys258 mutants, eliminate Tyr70 as an essential component of the catalytic apparatus, with the caveat that the functionally of the deleted hydroxyl group is possibly replaced by a water molecule.