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Molecular dynamics of the H-ras gene-encoded p21 protein; identification of flexible regions and possible effector domains.

We previously reported a complete computer-based three-dimensional structure for residues 1-171 of the Gly 12-containing ras-gene-encoded p21 protein complexed with GDP. This structure was subsequently shown to closely agree with a high-resolution x-ray crystallographic structure of p21. In this communication, we report a molecular dynamics stimulation of the modelled structure in an explicit shell of water molecules to identify domains within the protein that are unusually flexible. These domains represent regions which are most likely to undergo important conformational changes when the protein is activated by binding to GTP or by oncogenic amino acid substitutions such as Val for Gly 12. The starting structure was surrounded with water molecules, temperature-equilibrated and then followed over a 100 ps trajectory during which time the energy converged after about 50 ps. Regions of the protein that were found to have the largest coordinate fluctuations involved residues 12-16, 30-35, 40-52, 60-73, 85-89, 101-109, 119-123, and 127-131. Many of these sequences with high flexibility have been implicated in the functioning of this protein. Since the overall largest fluctuations were observed for residues 101-106 and 119-123, p21 peptides containing these residues (96-110 and 115-126) were synthesized and were found to inhibit strongly the effects of oncogenic p21 protein in an oocyte maturation assay. These results indicate that the flexible p21 sequences may constitute critical functional domains of the activated protein and that this general approach may be useful for identification of important functional domains in proteins.

3T3 Cells↗

Photolabeling study of the ligand binding domain of natriuretic peptide receptor A: development of a model.

Atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP) are loop-shaped peptidic hormones that have multiple actions on body fluid homeostasis. Their physiological effects are mediated through the activation of their receptor, natriuretic peptide receptor A (NPRA). This receptor is a member of the membrane guanylyl cyclase family and catalyzes cyclic guanosine monophosphate (cGMP) production following its activation. To map the binding site of human NPRA, we applied the methionine proximity assay method to this receptor. We photolabeled NPRA mutants, presenting a single methionine in the binding domain of the receptor, and used benzoylphenylalanine- (Bpa-) substituted peptides at positions 0, 3, 18, 26, and 28 of the ligand. We identified that the N-terminus of the peptide is interacting with the region between Asp(177) and Val(183) of the receptor. Arg(3) is interacting in the vicinity of Phe(172). Leu(18) binds close to Val(116). Phe(26) binds in the vicinity of His(195), and the C-terminal Tyr(28) is located close to Met(173). We next proceeded with photolabeling of a dual Bpa-substituted peptide and showed that the N-terminus and Leu(18) interact with opposite receptor subunits. On the basis of our results, a molecular model of peptide-bound NPRA was developed by homology modeling with the C-type natriuretic peptide- (CNP-) bound natriuretic peptide receptor C (NPRC) crystal structure. The model has been validated by molecular dynamics simulations. Our work provides a rational basis for interpreting and predicting natriuretic peptide binding to the human NPRA.

Amino Acid Sequence↗

DNA-DNA interstrand cross-linking by cis-diamminedichloroplatinum(II): N7(dG)-to-N7(dG) cross-linking at 5'-d(GC) in synthetic oligonucleotides.

The nucleotide sequence specificity of the DNA-DNA interstrand cross-linking reaction of cis-diamminedichloroplatinum(II) (cis-DDP) was studied in synthetic oligonucleotides. Of six self-complementary DNAs tested, only those containing the central sequence 5'-d(GC) formed appreciable interstrand cross-linked product, as assayed by denaturing polyacrylamide gel electrophoresis (DPAGE). The nucleotide connectivity of the interstrand cross-link was defined by sequence random oxidative fragmentation followed by DPAGE, revealing that dG residues on opposite strands at the sequence 5'-d(GC) were connected to one another. The covalent structure of the cross-link was established following hydrolysis of the phosphodiester backbone of a structurally homogeneous sample of a cis-DDP interstrand cross-linked DNA tetradecamer. HPLC analysis of the hydrolysate returned all of the deoxynucleoside residues from the starting DNA except for two deoxyguanosine residues. Also returned was diammine-bis-[N7-(2'- deoxyguanosyl)]platinum(II)2+, identified by a combination of spectroscopic methods, and comparison to a synthetic authentic sample. This study directly establishes that cis-DDP forms interstrand cross-links at the duplex sequence 5'-d(GC), linking deoxyguanosine residues on opposite strands at N7 through a bridging platinum atom. Computer simulation of the interstrand cross-linked product using molecular mechanics energy minimization and molecular dynamics revealed significant structural reorganization at the site of the cross-link including a ca 40 degrees angle between the platinated guaninyl residues, which propagated to adjacent residues by base stacking to yield duplexes bent by some 30 degrees toward the major groove.

Antineoplastic Agents↗

Adenosine A2A-dopamine D2 receptor-receptor heteromerization: qualitative and quantitative assessment by fluorescence and bioluminescence energy transfer.

There is evidence for strong functional antagonistic interactions between adenosine A2A receptors (A2ARs) and dopamine D2 receptors (D2Rs). Although a close physical interaction between both receptors has recently been shown using co-immunoprecipitation and co-localization assays, the existence of a A2AR-D2R protein-protein interaction still had to be demonstrated in intact living cells. In the present work, fluorescence resonance energy transfer (FRET) and bioluminescence resonance energy transfer (BRET) techniques were used to confirm the occurrence of A2AR-D2R interactions in co-transfected cells. The degree of A2AR-D2R heteromerization, measured by BRET, did not vary after receptor activation with selective agonists, alone or in combination. BRET competition experiments were performed using a chimeric D2R-D1R in which helices 5 and 6, the third intracellular loop (I3), and the third extracellular loop (E3) of the D2R were replaced by those of the dopamine D1 receptor (D1R). Although the wild type D2R was able to decrease the BRET signal, the chimera failed to achieve any effect. This suggests that the helix 5-I3-helix 6-E3 portion of D2R holds the site(s) for interaction with A2AR. Modeling of A2AR and D2R using a modified rhodopsin template followed by molecular dynamics and docking simulations gave essentially two different possible modes of interaction between D2R and A2AR. In the most probable one, helix 5 and/or helix 6 and the N-terminal portion of I3 from D2R approached helix 4 and the C-terminal portion of the C-tail from the A2AR, respectively.

Binding Sites↗

Preparation of small unilamellar vesicles (SUV) and biophysical characterization of their complexes with poly-l-lysine-condensed plasmid DNA.

Liposomes have numerous applications in the (bio)pharmaceutical industries as agents in the synthesis of new biomaterials for use in areas including gene delivery. There is currently a need to establish efficient scaleable methods for the manufacture of liposomes, and in the present paper we describe the operation of a new high-velocity jet homogenizer for downsizing of multilamellar large vesicles to produce small unilamellar vesicles (SUV). Measurements of size distribution of SUVs are presented and compared with mathematical simulations based on the solution of a population balance equation combined with computational-fluid-dynamics analysis of flow in the homogenizer. Anionic SUVs are produced by the new method and incubated with poly-L-lysine (PLL)-condensed plasmid DNA (pDNA) to generate complexes under different physico-chemical conditions. The colloidal properties of the resulting complexes, including their size and charge, are measured using a Zetasizer and the encapsulation efficiency is obtained experimentally using a Pico Green assay. The results show that between 85 and 95% of the PLL-pDNA condensed plasmids were encapsulated by the liposomes, the smaller liposomes being more effective in encapsulating the complexes.

Coated Materials, Biocompatible↗

Interaction of 1,2,4-substituted piperazines, new serotonin receptor ligands, with 5-HT1A and 5-HT2A receptors.

In the present paper, we describe affinities to 5-HT1A and 5-HT2A receptors of several new 1,2,4-trisubstituted piperazine derivatives. The affinities were compared with those described earlier for 1,4-disubstituted piperazines and the influence of the third (methyl) substituent on the affinity to both receptors is discussed. The difference between two- and three-substituted derivatives was rationalised in terms of molecular modelling of the respective ligand-receptor complexes. Additionally, the functional activity of some 1,2,4-trisubstituted piperazines for 5-HT1A receptor was examined in behavioural and biochemical models. The obtained results have shown that some trisubstituted compounds exhibited a higher affinity to 5-HT2A receptors than their respective disubstituted analogues (with the affinity to 5-HT1A receptors remaining the same or somewhat improving). The molecular dynamics simulations suggested that the presence of the third substituent in the piperazine ring of those compounds may induce stabilising effect on the ligand-receptor complexes. The results of the in vivo studies have shown that some of the examined trisubstituted piperazines (10-13, 16, 17) exhibited properties of postsynaptic 5-HT1A partial agonists. Moreover, compounds 13 and 16 exhibited features of 5-HT1A presynaptic agonists in in vitro test, and compound 16 also in in vivo tests.

Animals↗

Towards quantitative biology: integration of biological information to elucidate disease pathways and to guide drug discovery.

Developing a new drug is a tedious and expensive undertaking. The recently developed high-throughput experimental technologies, summarised by the terms genomics, transcriptomics, proteomics and metabolomics provide for the first time ever the means to comprehensively monitor the molecular level of disease processes. The "-omics" technologies facilitate the systematic characterisation of a drug target's physiology, thereby helping to reduce the typically high attrition rates in discovery projects, and improving the overall efficiency of pharmaceutical research processes. Currently, the bottleneck for taking full advantage of the new experimental technologies are the rapidly growing volumes of automatically produced biological data. A lack of scalable database systems and computational tools for target discovery has been recognised as a major hurdle. In this review, an overview will be given on recent progress in computational biology that has an impact on drug discovery applications. The focus will be on novel in silico methods to reconstruct regulatory networks, signalling cascades, and metabolic pathways, with an emphasis on comparative genomics and microarray-based approaches. Promising methods, such as the mathematical simulation of pathway dynamics are discussed in the context of applications in discovery projects. The review concludes by exemplifying concrete data-driven studies in pharmaceutical research that demonstrate the value of integrated computational systems for drug target identification and validation, screening assay development, as well as drug candidate efficacy and toxicity evaluations.

Animals↗

Prediction of ligand binding affinity and orientation of xenoestrogens to the estrogen receptor by molecular dynamics simulations and the linear interaction energy method.

Exposure to environmental estrogens has been proposed as a risk factor for disruption of reproductive development and tumorigenesis of humans and wildlife (McLachlan, J. A.; Korach, K. S.; Newbold, R. R.; Degen, G. H. Diethylstilbestrol and other estrogens in the environment. Fundam. Appl. Toxicol. 1984, 4, 686-691). In recent years, many structurally diverse environmental compounds have been identified as estrogens. A reliable computational method for determining estrogen receptor (ER) binding affinity is of great value for the prediction of estrogenic activity of such compounds and their metabolites. In the presented study, a computational model was developed for prediction of binding affinities of ligands to the ERalpha isoform, using MD simulations in combination with the linear interaction energy (LIE) approach. The linear interaction energy approximation was first described by Aqvist et al. (Aqvist, J.; Medina, C.; Samuelsson, J. E. A new method for predicting binding affinity in computer-aided drug design. Protein Eng. 1994, 7, 385-391) and relies on the assumption that the binding free energy (DeltaG) depends linearly on changes in the van der Waals and electrostatic energy of the system. In the present study, MD simulations of ligands in the ERalpha ligand binding domain (LBD) (Shiau, A. K.; Barstad, D.; Loria, P. M.; Cheng, L.; Kushner, P. J.; Agard, D. A.; Greene, G. L. The structural basis of estrogen receptor/coactivator recognition and the antagonism of this interaction by tamoxifen. Cell 1998, 95, 927-937), as well as ligands free in water, were carried out using the Amber 6.0 force field (http://amber.scripps.edu/). Contrary to previous LIE methods, we took into account every possible orientation of the ligands in the LBD and weighted the contribution of each orientation to the total binding affinity according to a Boltzman distribution. The training set (n = 19) contained estradiol (E2), the synthetic estrogens diethylstilbestrol (DES) and 11beta-chloroethylestradiol (E2-Cl), 16alpha-hydroxy-E2 (estriol, EST), the phytoestrogens genistein (GEN), 8-prenylnaringenin (8PN), and zearalenon (ZEA), four derivatives of benz[a]antracene-3,9-diol, and eight estrogenic monohydroxylated PAH metabolites. We obtained an excellent linear correlation (r(2) = 0.94) between experimental (competitive ER binding assay) and calculated binding energies, with K(d) values ranging from 0.15 mM to 30 pM, a 5 000 000-fold difference in binding affinity. Subsequently, a test set (n = 12) was used to examine the predictive value of our model. This set consisted of the synthetic estrogen 5,11-cis-diethyl-5,6,11,12-tetrahydrochrysene-2,8-diol (THC), daidzein (DAI), equol (EQU) and apigenin (API), chlordecone (KEP), progesterone (PRG), several mono- and dihydroxylated PAH metabolites, and two brominated biphenyls. The predicted binding affinities of these estrogenic compounds were in very good agreement with the experimental values (average deviation of 0.61 +/- 0.4 kcal/mol). In conclusion, our LIE model provides a very good method for prediction of absolute ligand binding affinities, as well as binding orientation of ligands.

Animals↗

Ursolic acid, an antagonist for transforming growth factor (TGF)-beta1.

Transforming growth factor-beta (TGF-beta), a multifunctional cytokine which is involved in extracellular matrix modulation, has a major role in the pathogenesis and progression of fibrotic diseases. We now report the effects of ursolic acid on TGF-beta1 receptor binding and TGF-beta1-induced cellular functions in vitro. Ursolic acid inhibited [(125)I]-TGF-beta1 receptor binding to Balb/c 3T3 mouse fibroblasts with an IC(50) value of 6.9+/-0.8 microM. Ursolic acid dose-dependently recovered reduced proliferation of Minc Mv1Lu cells in the presence of 5 nM of TGF-beta1 and attenuated TGF-beta1-induced collagen synthesis and production in human fibroblasts. Molecular dynamics simulations suggest that ursolic acid may interact with the hydrophobic region of the dimeric interface and thereby inhibit the binding of TGF-beta1 to its receptor. All these findings taken together show that ursolic acid functions as an antagonist for TGF-beta1. This is the first report to show that a small molecule can inhibit TGF-beta1 receptor binding and influence functions of TGF-beta1.

Animals↗

Structural transitions of confined model proteins: molecular dynamics simulation and experimental validation.

Proteins fold in a confined space not only in vivo, i.e., folding assisted by molecular chaperons and chaperonins in a crowded cellular medium, but also in vitro as in production of recombinant proteins. Despite extensive work on protein folding in bulk, little is known about how and to what extent the thermodynamics and kinetics of protein folding are altered by confinement. In this work, we use a Gō-like off-lattice model to investigate the folding and stability of an all beta-sheet protein in spherical cages of different sizes and surface hydrophobicity. We find whereas extreme confinement inhibits correct folding, a hydrophilic cage stabilizes the protein due to restriction of the unfolded configurations. In a hydrophobic cage, however, strong attraction from the cage surface destabilizes the confined protein because of competition between self-aggregation and adsorption of hydrophobic residues. We show that the kinetics of protein collapse and folding is strongly correlated with both the cage size and the surface hydrophobicity. It is demonstrated that a cage of moderate size and hydrophobicity optimizes both the folding yield and kinetics of structural transitions. To support the simulation results, we have also investigated the refolding of hen-egg lysozyme in the presence of cetyltrimethylammoniumbromide (CTAB) surfactants that provide an effective confinement of the proteins by micellization. The influence of the surfactant hydrophobicity on the structural and biological activity of the protein is determined with circular dichroism spectrum, fluorescence emission spectrum, and biological activity assay. It is shown that, as predicted by coarse-grained simulations, CTAB micelles facilitate the collapse of denatured lysozyme, whereas the addition of beta-cyclodextrin-grafted-PNIPAAm, a weakly hydrophobic stripper, dissociates CTAB micelles and promotes the conformational rearrangement and thereby gives an improved recovery of lysozyme activity.

Acrylic Resins↗

Similar conformations of hairpins with TTT and TTTT sequences: NMR and molecular modeling evidence for T.T base pairs in the TTTT hairpin.

The conformations of the d[G(1)C(2)G(3)C(4)-T(a)T(b)T(c)T(d)-G(5)C(6)G(7)C(8)] (T4) and d[G(1)C(2)G(3)C(4)-T(a)T(b)T(c)-G(5)C(6)G(7)C(8)] (T3) DNA hairpins have been studied. The 1H and 31P signals of the two hairpins have been nearly completely assigned by means of two-dimensional NMR spectroscopy in D2O (NOESY (two-dimensional nuclear Overhauser effect and exchange spectroscopy) at mixing times of 5, 50, 100, 300 and 500 ms, double-quantum-filtered correlation spectroscopy (DQF-COSY) and 1H-31P reverse chemical shift correlation (RCSC), and one-dimensional NOE spectra in 90% H2O. Conformational analysis using distance geometry (DG), molecular mechanics (MM) and molecular dynamics (MD) gave model conformations, which were evaluated by comparison of experimental and simulated 2D NOESY spectra. For the T4 sequence in T4, both NMR data and modeling indicated a T(a).T(d) wobble base pair. Although two types of T(a).T(d) base pairs are possible, the one with T(a)NH-T(d)O4 and T(a)O2-T(d)NH H-bonds was calculated to be more stable. Because the T(a).T(d) base pair of T4 extends the stem, there are only two residues (T(b) and T(c) in the loop. Although there are three residues in the T3 loop, the T(c) base projects into the solvent. The resulting conformational models have very similar loop folding patterns (FP): the bases of the two adjacent residues that begin the loop [T(b)T(c) of T4 and T(a)T(b) or T3] have a minor groove/major groove orientation with the first residue each having a trans alpha torsion angle; and the phosphodiester group that links the residues at the 3' end of the loop and the 5' top of the stem [T(c)pT(d) of T4 and T(c)pG(5) of T3] has a gauche+, gauche+ zeta,alpha conformation with a trans gamma angle for the second residue in both. These or similar features appear to be present in most of the few other hairpins studied previously by conformational methods. Thus, we believe that the conformations of the loops in T3 and T4 hairpins have greater similarities than previously recognized.

Base Composition↗

Efficient, robust, and unified method for mapping complex traits (I): two-point linkage analysis.

The completion of a preliminary human genome map and development of molecular methods have enabled researchers to assay a large number of polymorphic markers that are evenly spaced along the entire human genome. Among many applications, marker data are valuable for mapping complex traits through linkage or linkage-disequilibrium analysis, the former of which is the focus of this paper, the first in a series on this subject. Formalizing the concept and computation for linkage analysis, Elston and Stewart [1971; Human Heredity 21:523-542] introduced a likelihood function to capture relevant genetic information and a recursive algorithm for computing the likelihood function. However, the computing burden is prohibitive in processing complex pedigrees. Since that fundamental development, improving the computational algorithm and extending the method has been a dynamic area of research. The primary objective of this communication is to introduce a semiparametric method for linkage analysis. It is a particularly suitable approach with desirable properties for mapping complex traits that may be binary, continuous, and partially observed (i.e., censored). It incorporates candidate genes, environmental factors, and their interactions with the putative gene and is expected to be robust and efficient in comparison with likelihood-based methods. The properties of the estimates have been studied in finite samples with a limited simulation study. This method is illustrated with an application to family data contributed to the Breast Cancer Consortium.

Algorithms↗

DNA dynamically directs its own transcription initiation.

It has long been known that double-stranded DNA is subject to temporary, localized openings of its two strands. Particular regions along a DNA polymer are destabilized structurally by available thermal energy in the system. The localized sequence of DNA determines the physical properties of a stretch of DNA, and that in turn determines the opening profile of that DNA fragment. We show that the Peyrard-Bishop nonlinear dynamical model of DNA, which has been used to simulate denaturation of short DNA fragments, gives an accurate representation of the instability profile of a defined sequence of DNA, as verified using S1 nuclease cleavage assays. By comparing results for a non-promoter DNA fragment, the adenovirus major late promoter, the adeno-associated viral P5 promoter and a known P5 mutant promoter that is inactive for transcription, we show that the predicted openings correlate almost exactly with the promoter transcriptional start sites and major regulatory sites. Physicists have speculated that localized melting of DNA might play a role in gene transcription and other processes. Our data link sequence-dependent opening behavior in DNA to transcriptional activity for the first time.

Adenoviridae↗

Histaprodifens: synthesis, pharmacological in vitro evaluation, and molecular modeling of a new class of highly active and selective histamine H(1)-receptor agonists.

A new class of histamine analogues characterized by a 3, 3-diphenylpropyl substituent at the 2-position of the imidazole nucleus has been prepared outgoing from 4,4-diphenylbutyronitrile (4b) via cyclization of the corresponding methyl imidate 5b with 2-oxo-4-phthalimido-1-butyl acetate or 2-oxo-1,4-butandiol in liquid ammonia, followed by standard reactions. The title compounds displayed partial agonism on contractile H(1) receptors of the guinea-pig ileum and endothelium-denuded aorta, respectively, except 10 (histaprodifen; 2-[2-(3, 3-diphenylpropyl)-1H-imidazol-4-yl]ethanamine) which was a full agonist in the ileum assay. While 10 was equipotent with histamine (1), methylhistaprodifen (13) and dimethylhistaprodifen (14) exceeded the functional potency of 1 by a factor of 3-5 (13) and 2-3 (14). Compounds 10 and 13-17 relaxed precontracted rat aortic rings (intact endothelium) with relative potencies of 3.3- up to 28-fold (compared with 1), displaying partial agonism as well. Agonist effects were sensitive to blockade by the selective H(1)-receptor antagonist mepyramine (pA(2) approximately 9 (guinea-pig) and pA(2) approximately 8 (rat aorta)). The affinity of 10 and 13-17 for guinea-pig H(1) receptors increased 20- to 100-fold compared with 1. Two lower homologues of 10 were weak partial H(1)-receptor agonists while two higher homologues of 10 were silent antagonists endowed with micromolar affinity for rat and guinea-pig H(1) receptors. In functional selectivity experiments, 10, 13, and 14 did not stimulate H(2), H(3), and several other neurotransmitter receptors. They displayed only low to moderate affinity for these sites (pA(2) < 6). For a better understanding of structure-activity relationships, the interaction of 1 and 10, 13 and 14 within the transmembrane (TM) domains of the human histamine H(1) receptor were studied using molecular dynamics simulations. Remarkable differences were found between the binding modes of 10, 13, and 14 and that of 1. The imidazole ring of 10, 13, and 14 was placed 'upside down' compared with 1, making the interaction of the N(pi)-atom with Tyr431 possible. This new orientation was mainly caused by the space filling substitution at the 2-position of the imidazole ring and influenced the location of the protonated N(alpha)-atom which was positioned more between TM III and TM VI. This orientation can explain both the increased relative potency and the maximum effect of 10, 13, and 14 compared with 1. Compound 13 (methylhistaprodifen; N(alpha)-methyl-2-[2-(3, 3-diphenylpropyl)-1H-imidazol-4-yl]ethanamine) is the most potent histamine H(1)-receptor agonist reported so far in the literature and may become a valuable tool for the study of physiological and pathophysiological H(1)-receptor-mediated effects.

Animals↗

Population dynamics and in situ kinetics of nitrifying bacteria in autotrophic nitrifying biofilms as determined by real-time quantitative PCR.

Population dynamics of ammonia-oxidizing bacteria (AOB) and uncultured Nitrospira-like nitrite-oxidizing bacteria (NOB) dominated in autotrophic nitrifying biofilms were determined by using real-time quantitative polymerase chain reaction (RTQ-PCR) and fluorescence in situ hybridization (FISH). Although two quantitative techniques gave the comparable results, the RTQ-PCR assay was easier and faster than the FISH technique for quantification of both nitrifying bacteria in dense microcolony-forming nitrifying biofilms. Using this RTQ-PCR assay, we could successfully determine the maximum specific growth rate (mu = 0.021/h) of uncultured Nitrospira-like NOB in the suspended enrichment culture. The population dynamics of nitrifying bacteria in the biofilm revealed that once they formed the biofilm, the both nitrifying bacteria grew slower than in planktonic cultures. We also calculated the spatial distributions of average specific growth rates of both nitrifying bacteria in the biofilm based on the concentration profiles of NH4+, NO2-, and O2, which were determined by microelectrodes, and the double-Monod model. This simple model estimation could explain the stratified spatial distribution of AOB and Nitrospira-like NOB in the biofilm. The combination of culture-independent molecular techniques and microelectrode measurements is a very powerful approach to analyze the in situ kinetics and ecophysiology of nitrifying bacteria including uncultured Nitrospira-like NOB in complex biofilm communities.

Bacteria↗

Single-turnover analysis of mutant human apurinic/apyrimidinic endonuclease.

Apurinic/apyrimidinic endonuclease (AP endo) is a key enzyme in the repair of oxidatively damaged DNA. Using single-turnover conditions, we recently described substrate binding parameters for wild type human AP endo. In this study, we utilized four enzyme mutants, D283A, D308A, D283A/D308A, and H309N, and assayed them under steady state and single-turnover conditions. The turnover number of the single aspartate mutants was decreased 10-30-fold in comparison to that of the wild type. The decrease in the turnover number was accompanied by a 17- and 50-fold decrease in the forward rate constant (kon) for substrate binding by D308A and D283A, respectively. The dissociation rate constant for substrate (koff) was unchanged for the D308A mutant but was 10 times faster for the D283A mutant than for the wild type. The apparent Km values for both of the single aspartate mutants were about equal to their respective KD values. To account for the kinetic behavior of the D308A mutant, it was necessary to insert a conformational change into the kinetic scheme. In contrast to the single aspartate mutants, the turnover number for the double mutant was 500-fold lower than that of the wild type, its apparent Km was 2.5-fold higher, and binding to substrate was weak. Mutation of His309 caused the greatest decrease in activity, resulting in a turnover number that was more than 30000-fold lower than that of the wild type and an apparent Km that was 13-fold higher, supporting the notion that His309 is intimately involved in catalysis. Molecular dynamics simulation techniques suggested that conversion of either aspartate to alanine resulted in major shifts in the spatial localization of key amino acids. Despite the fact that the two aspartates flank His309, the movement they engendered was distinct, consistent with the differences in catalytic behavior. We suggest that the conformation of the active site is largely maintained by the two aspartates, which enable efficient binding and cleavage of abasic site-containing DNA.

Alanine↗

UV reactor performance modeling by Eulerian and Lagrangian methods.

A study was performed to investigate the influence of hydrodynamics on the performance of ultraviolet (UV) reactors. Two general UV disinfection models were developed by integrating fluence rate models and inactivation kinetics within a commercial computational fluid dynamics (CFD) software package to predict reactor performances. Both a particle tracking (Lagrangian) random walk model and a volumetric reaction rate based (Eulerian) model were implemented. Simulations were performed for two characteristic annular single-lamp UV reactor configurations, with inlets concentric (L-shape) and normal (U-shape) to the reactor axis. Two fluence rate models, the infinite line source assumption and the finite line or multiple point source summation (MPSS), were used. First-order inactivation kinetics was assumed for disinfection, with rate constants from MS2 bacteriophage assays. The simulation results provided detailed information on the velocity profiles, reaction rates, range of absorbed dose, and areas of short circuiting of the UV reactors. Model predictions based on both the Lagrangian dose distribution and Eulerian concentration distribution were in good agreement with each other at high flow rates but showed some discrepancies at lower flow rates. Experimental verification of the general models was performed by simulating the disinfection performance of an industrial prototype UV reactor. Results from both integration approaches were shown to be in good agreement with the provided biodosimetry data.

Kinetics↗

A cannabinoid receptor 1 mutation proximal to the DRY motif results in constitutive activity and reveals intramolecular interactions involved in receptor activation.

Activation of a G-protein-coupled receptor involves changes in specific microdomain interactions within the transmembrane region of the receptor. Here, we have focused on the role of L207, proximal to the DRY motif of the human cannabinoid receptor 1 in the interconversion of the receptor resting and active states. Ligand binding analysis of the mutant receptor L207A revealed an enhanced affinity for agonists (three- to six-fold) and a diminished affinity for inverse agonists (19- to 35-fold) compared to the wild-type receptor, properties characteristic of constitutive activity. To further examine whether this mutant adopts a ligand-independent, active form, treatment with GTPgammaS was used to inhibit G protein coupling. Under these conditions, the L207A receptor exhibited a 10-fold increase in affinity for the inverse agonist SR141716A, consistent with a shift away from an enhanced precoupled state. Analysis of the cellular activity of the L207A receptor showed elevated basal cyclic AMP accumulation relative to the wild type that is inhibited by SR141716A, consistent with receptor-mediated Gs precoupling. Using toxins to selectively abrogate Gs or Gi coupling, we found that CP55940 nonetheless induced only a Gi response suggesting a strong preference of this ligand-bound form for Gi in this system. Molecular dynamics simulations reveal that the single residue change of L207A impacts the association of TM3 and TM6 in the receptor by altering hydrophobic interactions involving L207, the salt bridge involving the Arg of the DRY motif, and the helical structure of TM6, consistent with events leading to activation. The structural alterations parallel those observed in models of a mutant CB(1) receptor T210I, with established constitutive activity (D'Antona, A.M., Ahn, K.H. and Kendall, D.A., 2006. Mutations of CB1 T210 produce active and inactive receptor forms: correlations with ligand affinity, receptor stability, and cellular localization. Biochemistry, 45, 5606-5617).

Amino Acid Motifs↗