Sequential nearest-neighbor effects on computed <Superscript>13</Superscript>C<Superscript>α</Superscript> chemical shifts

To evaluate sequential nearest-neighbor effects on quantum-chemical calculations of ¹³C^α chemical shifts, we selected the structure of the nucleic acid binding (NAB) protein from the SARS coronavirus determined by NMR in solution (PDB id 2K87). NAB is a 116-residue α/β protein, which contains 9 prolines and has 50% of its residues located in loops and turns. Overall, the results presented here show that sizeable nearest-neighbor effects are seen only for residues preceding proline, where Pro introduces an overestimation, on average, of 1.73 ppm in the computed ¹³C^α chemical shifts. A new ensemble of 20 conformers representing the NMR structure of the NAB, which was calculated with an input containing backbone torsion angle constraints derived from the theoretical ¹³C^α chemical shifts as supplementary data to the NOE distance constraints, exhibits very similar topology and comparable agreement with the NOE constraints as the published NMR structure. However, the two structures differ in the patterns of differences between observed and computed ¹³C^α chemical shifts, Δ _ca,i , for the individual residues along the sequence. This indicates that the Δ _ca,i -values for the NAB protein are primarily a consequence of the limited sampling by the bundles of 20 conformers used, as in common practice, to represent the two NMR structures, rather than of local flaws in the structures.     

Structures and stability of N<Subscript>13</Subscript><Superscript>+</Superscript> and N<Subscript>13</Subscript><Superscript>−</Superscript> clusters

The structures and stabilities of eleven N₁₃ ⁺ and N₁₃ ^– isomers have been investigated with second-order Møller–Plesset (MP2) and density functional theory (DFT) methods. Five N₁₃ ⁺ isomers and six N₁₃ ^– isomers are all reasonable local minima on their potential energy hypersurfaces. The most stable N₁₃ ⁺ cation is structure C-2 with C_2v symmetry, which contains a pentazole ring and two N₄ open chains. It is different from those of the N₇ ⁺ and N₉ ⁺ clusters, but similar to the N₁₁ ⁺ cluster. Meanwhile, the most stable N₁₃ ^– structure A-2 is composed of a pentazole ring and a six-membered ring connected by two nitrogen atoms. It is not only different from those of the N₇ ^– and N₉ ^– clusters, but also from the N₁₁ ^– cluster. The decomposition pathways of structures C-2 and A-2 were investigated at the B3LYP/(aug)-cc-pVDZ level. From the barrier heights of the structures C-2 and A-2 decomposition processes, it is suggested that C-2 is difficult to observe experimentally and A-2 may be observed as a short-lived species. Figure Optimized geometrical parameters of N₁₃ ⁺ isomer C-2      

Comprehensive determination of <Superscript>3</Superscript>J<Subscript>HNHα</Subscript> for unfolded proteins using <Superscript>13</Superscript>C′-resolved spin-echo difference spectroscopy

An experiment is presented to determine ³J_HNHα coupling constants, with significant advantages for applications to unfolded proteins. The determination of coupling constants for the peptide chain using 1D ¹H, or 2D and 3D ¹H-¹⁵N correlation spectroscopy is often hampered by extensive resonance overlap when dealing with flexible, disordered proteins. In the experiment detailed here, the overlap problem is largely circumvented by recording ¹H-¹³C′ correlation spectra, which demonstrate superior resolution for unfolded proteins. J-coupling constants are extracted from the peak intensities in a pair of 2D spin-echo difference experiments, affording rapid acquisition of the coupling data. In an application to the cytoplasmic domain of human neuroligin-3 (hNlg3cyt) data were obtained for 78 residues, compared to 54 coupling constants obtained from a 3D HNHA experiment. The coupling constants suggest that hNlg3cyt is intrinsically disordered, with little propensity for structure.     

Predicting <Superscript>13</Superscript>C<Superscript>α</Superscript> chemical shifts for validation of protein structures

The ¹³C^α chemical shifts for 16,299 residues from 213 conformations of four proteins (experimentally determined by X-ray crystallography and Nuclear Magnetic Resonance methods) were computed by using a combination of approaches that includes, but is not limited to, the use of density functional theory. Initially, a validation test of this methodology was carried out by a detailed examination of the correlation between computed and observed ¹³C^α chemical shifts of 10,564 (of the 16,299) residues from 139 conformations of the human protein ubiquitin. The results of this validation test on ubiquitin show agreement with conclusions derived from computation of the chemical shifts at the ab initio Hartree–Fock level. Further, application of this methodology to 5,735 residues from 74 conformations of the three remaining proteins that differ in their number of amino acid residues, sequence and three-dimensional structure, together with a new scoring function, namely the conformationally averaged root-mean-square-deviation, enables us to: (a) offer a criterion for an accurate assessment of the quality of NMR-derived protein conformations; (b) examine whether X-ray or NMR-solved structures are better representations of the observed ¹³C^α chemical shifts in solution; (c) provide evidence indicating that the proposed methodology is more accurate than automated predictors for validation of protein structures; (d) shed light as to whether the agreement between computed and observed ¹³C^α chemical shifts is influenced by the identity of an amino acid residue or its location in the sequence; and (e) provide evidence confirming the presence of dynamics for proteins in solution, and hence showing that an ensemble of conformations is a better representation of the structure in solution than any single conformation. Electronic Supplementary Material The online version of this article (doi: ) contains supplementary material, which is available to authorized users.     

CACA-TOCSY with alternate <Superscript>13</Superscript>C–<Superscript>12</Superscript>C labeling: a <Superscript>13</Superscript>C<Superscript>α</Superscript> direct detection experiment for mainchain resonance assignment,dihedral angle information,and amino acid type identification

We present a ¹³C direct detection CACA-TOCSY experiment for samples with alternate ¹³C–¹²C labeling. It provides inter-residue correlations between ¹³C^α resonances of residue i and adjacent C^αs at positions i − 1 and i + 1. Furthermore, longer mixing times yield correlations to C^α nuclei separated by more than one residue. The experiment also provides C^α-to-sidechain correlations, some amino acid type identifications and estimates for ψ dihedral angles. The power of the experiment derives from the alternate ¹³C–¹²C labeling with [1,3-¹³C] glycerol or [2-¹³C] glycerol, which allows utilizing the small scalar ³J_CC couplings that are masked by strong ¹J_CC couplings in uniformly ¹³C labeled samples.     

Detection of C′,C<Superscript>α</Superscript> correlations in proteins using a new time- and sensitivity-optimal experiment

Sensitivity- and time-optimal experiment, called COCAINE (CO-CA In- and aNtiphase spectra with sensitivity Enhancement), is proposed to correlate chemical shifts of ¹³C and ¹³C spins in proteins. A comparison of the sensitivity and duration of the experiment with the corresponding theoretical unitary bounds shows that the COCAINE experiment achieves maximum possible transfer efficiency in the shortest possible time, and in this sense the sequence is optimal. Compared to the standard HSQC, the COCAINE experiment delivers a 2.7-fold gain in sensitivity. This newly proposed experiment can be used for assignment of backbone resonances in large deuterated proteins effectively bridging ¹³C and ¹³C resonances in adjacent amino acids. Due to the spin-state selection employed, the COCAINE experiment can also be used for efficient measurements of one-bond couplings (e.g. scalar and residual dipolar couplings) in any two-spin system (e.g. the N/H in the backbone of protein).     

A <Superscript>13</Superscript>C-detected <Superscript>15</Superscript>N double-quantum NMR experiment to probe arginine side-chain guanidinium <Superscript>15</Superscript>N<Superscript>η</Superscript> chemical shifts

Arginine side-chains are often key for enzyme catalysis, protein–ligand and protein–protein interactions. The importance of arginine stems from the ability of the terminal guanidinium group to form many key interactions, such as hydrogen bonds and salt bridges, as well as its perpetual positive charge. We present here an arginine ¹³C^ζ-detected NMR experiment in which a double-quantum coherence involving the two ¹⁵N^η nuclei is evolved during the indirect chemical shift evolution period. As the precession frequency of the double-quantum coherence is insensitive to exchange of the two ¹⁵N^η; this new approach is shown to eliminate the previously deleterious line broadenings of ¹⁵N^η resonances caused by the partially restricted rotation about the C^ζ–N^ε bond. Consequently, sharp and well-resolved ¹⁵N^η resonances can be observed. The utility of the presented method is demonstrated on the L99A mutant of the 19 kDa protein T4 lysozyme, where the measurement of small chemical shift perturbations, such as one-bond deuterium isotope shifts, of the arginine amine ¹⁵N^η nuclei becomes possible using the double-quantum experiment.     

Measuring <Superscript>13</Superscript>C<Superscript>β</Superscript> chemical shifts of invisible excited states in proteins by relaxation dispersion NMR spectroscopy

A labeling scheme is introduced that facilitates the measurement of accurate ¹³C^β chemical shifts of invisible, excited states of proteins by relaxation dispersion NMR spectroscopy. The approach makes use of protein over-expression in a strain of E. coli in which the TCA cycle enzyme succinate dehydrogenase is knocked out, leading to the production of samples with high levels of ¹³C enrichment (30–40%) at C^β side-chain carbon positions for 15 of the amino acids with little ¹³C label at positions one bond removed (≈5%). A pair of samples are produced using [1-¹³C]-glucose/NaH¹²CO₃ or [2-¹³C]-glucose as carbon sources with isolated and enriched (>30%) ¹³C^β positions for 11 and 4 residues, respectively. The efficacy of the labeling procedure is established by NMR spectroscopy. The utility of such samples for measurement of ¹³C^β chemical shifts of invisible, excited states in exchange with visible, ground conformations is confirmed by relaxation dispersion studies of a protein–ligand binding exchange reaction in which the extracted chemical shift differences from dispersion profiles compare favorably with those obtained directly from measurements on ligand free and fully bound protein samples.     

Improved accuracy in measuring one-bond and two-bond <Superscript>15</Superscript>N,<Superscript>13</Superscript>C<Superscript>α</Superscript> coupling constants in proteins by double-inphase/antiphase (DIPAP) spectroscopy

An extension to HN(CO-α/β-N,C^α-J)-TROSY (Permi and Annila in J Biomol NMR 16:221–227, 2000) is proposed that permits the simultaneous determination of the four coupling constants ¹ J _{N′(i)Cα(i)}, ² J _HN(i)Cα(i), ² J _{Cα(i−1)N′(i)}, and ³ J _{Cα(i−1)HN(i)} in ¹⁵N,¹³C-labeled proteins. Contrasting the original scheme, in which two separate subspectra exhibit the ² J _CαN′ coupling as inphase and antiphase splitting (IPAP), we here record four subspectra that exhibit all combinations of inphase and antiphase splittings possible with respect to both ² J _CαN′ and ¹ J _N′Cα (DIPAP). Complementary sign patterns in the different spectrum constituents overdetermine the coupling constants which can thus be extracted at higher accuracy than is possible with the original experiment. Fully exploiting data redundance, simultaneous 2D lineshape fitting of the E.COSY multiplet tilts in all four subspectra provides all coupling constants at ultimate precision. Cross-correlation and differential-relaxation effects were taken into account in the evaluation procedure. By applying a four-point Fourier transform, the set of spectra is reversibly interconverted between DIPAP and spin-state representations. Methods are exemplified using proteins of various size.     

Identification of C-terminal neighbours of amino acid residues without an aliphatic <Superscript>13</Superscript>C<Superscript>γ</Superscript> as an aid to NMR assignments in proteins

We propose a methodology that uses GFT (3,2)D CB(CACO)NNH experiment to rapidly collect the data and readily identify six amino acid residue types (Ala, Asn, Asp, Cys, Gly and Ser) in any given protein. Further, the experiment can distinguish the redox state of Cys residues. The proposed experiment in its two forms will have wide range of applications in resonance assignment strategies and structure determination of proteins.     

Flow of Deposited Inorganic N in Two Gleysol-dominated Mountain Catchments Traced with <Superscript>15</Superscript>NO<Subscript>3</Subscript><Superscript>−</Superscript> and <Superscript>15</Superscript>NH<Subscript>4</Subscript><Superscript>+</Superscript>

In two mountain ecosystems at the Alptal research site in central Switzerland, pulses of ¹⁵NO₃ and ¹⁵NH₄ were separately applied to trace deposited inorganic N. One forested and one litter meadow catchment, each approximately 1600 m², were delimited by trenches in the Gleysols. K¹⁵NO₃ was applied weekly or fortnightly over one year with a backpack sprayer, thus labelling the atmospheric nitrate deposition. After the sampling and a one-year break, ¹⁵NH₄Cl was applied as a second one-year pulse, followed by a second sampling campaign. Trees (needles, branches and bole wood), ground vegetation, litter layer and soil (LF, A and B horizon) were sampled at the end of each labelling period. Extractable inorganic N, microbial N, and immobilised soil N were analysed in the LF and A horizons. During the whole labelling period, the runoff water was sampled as well. Most of the added tracer remained in both ecosystems. More NO₃⁻ than NH₄⁺ tracer was retained, especially in the forest. The highest recovery was in the soil, mainly in the organic horizon, and in the ground vegetation, especially in the mosses. Event-based runoff analyses showed an immediate response of ¹⁵NO₃⁻ in runoff, with sharp ¹⁵N peaks corresponding to discharge peaks. NO₃⁻ leaching showed a clear seasonal pattern, being highest in spring during snowmelt. The high capacity of N retention in these ecosystems leads to the assumption that deposited N accumulates in the soil organic matter, causing a progressive decline of its C:N ratio.     

Different effects of SNP and GSNO on mitochondrial O<Stack><Subscript>2</Subscript><Superscript>.−</Superscript></Stack>/H<Subscript>2</Subscript>O<Subscript>2</Subscript> production

Sodium Nitroprusside (SNP) and S-Nitrosoglutathione (GSNO) differently affect mitochondrial H₂O₂ release at Complex-I. mM SNP increases while GSNO decreases the release induced by succinate alone or added on top of NAD-linked substrates. Stimulation likely depends on Nitric Oxide ( ^. NO) (released by SNP but not by GSNO) inhibiting cytochrome oxidase and mitochondrial respiration. Preincubations with SNP or high GSNO (10 mM plus DTE to increases its ^. NO release) induces an inhibition of the succinate dependent H₂O₂ production consistent with a ^. NO dependent covalent modification. However maximal inhibition of the succinate dependent H₂O₂ release is obtained in the presence of low GSNO (20–100 μM), but not with SNP. This inhibition appears independent of ^. NO release since μM GSNO does not affect mitochondrial respiration, or the H₂O₂ detection systems and its effect is very rapid. Inhibition may be partly due to an increased removal of O₂^.− since GSNO chemically competes with NBT and cytochrome C in O₂^.− detection.     

NO<Subscript>3</Subscript><Superscript>−</Superscript>-Driven SO<Subscript>4</Subscript><Superscript>2−</Superscript> Production in Freshwater Ecosystems: Implications for N and S Cycling

Massive anthropogenic acceleration of the global nitrogen (N) cycle has stimulated interest in understanding the fate of excess N loading to aquatic ecosystems. Nitrate (NO₃ ⁻) is traditionally thought to be removed mainly by microbial respiratory denitrification coupled to carbon (C) oxidation, or through biomass assimilation. Alternatively, chemolithoautotrophic bacterial metabolism may remove NO₃ ⁻ by coupling its reduction with the oxidation of sulfide to sulfate (SO₄ ²⁻). The NO₃ ⁻ may be reduced to N₂ or to NH₄ ⁺, a form of dissimilatory nitrate reduction to ammonium (DNRA). The objectives of this study were to investigate the importance of S oxidation as a NO₃ ⁻ removal process across diverse freshwater streams, lakes, and wetlands in southwestern Michigan (USA). Simultaneous NO₃ ⁻ removal and SO₄ ²⁻ production were observed in situ using modified “push-pull” methods in nine streams, nine wetlands, and three lakes. The measured SO₄ ²⁻ production can account for a significant fraction (25–40%) of the overall NO₃ ⁻ removal. Addition of ¹⁵NO₃ ⁻ and measurement of ¹⁵NH₄ ⁺ production using the push–pull method revealed that DNRA was a potentially important process of NO₃ ⁻ removal, particularly in wetland sediments. Enrichment cultures suggest that Thiomicrospira denitrificans may be one of the organisms responsible for this metabolism. These results indicate that NO₃ ⁻-driven SO₄ ²⁻ production could be widespread and biogeochemically important in freshwater sediments. Removal of NO₃ ⁻ by DNRA may not ameliorate problems such as eutrophication because the N remains bio-available. Additionally, if sulfur (S) pollution enhances NO₃ ⁻ removal in freshwaters, then controls on N processing in landscapes subject to S and N pollution are more complex than previously appreciated. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Carbonyl carbon label selective (CCLS) <Superscript>1</Superscript>H–<Superscript>15</Superscript>N HSQC experiment for improved detection of backbone <Superscript>13</Superscript>C–<Superscript>15</Superscript>N cross peaks in larger proteins

We present a highly sensitive pulse sequence, carbonyl carbon label selective ¹H–¹⁵N HSQC (CCLS-HSQC) for the detection of signals from ¹H–¹⁵N units involved in ¹³C′–¹⁵N linkages. The CCLS-HSQC pulse sequence utilizes a modified ¹⁵N CT evolution period equal to 1/( ) (∼33 ms) to select for ¹³C′–¹⁵N pairs. By collecting CCLS-HSQC and HNCO data for two proteins (8 kDa ubiquitin and 20 kDa HscB) at various temperatures (5–40°C) in order to vary correlation times, we demonstrate the superiority of the CCLS-HSQC pulse sequence for proteins with long correlation times (i.e. higher molecular weight). We then show that the CCLS-HSQC experiment yields assignments in the case of a 41 kDa protein incorporating pairs of ¹⁵N- and ¹³C′-labeled amino acids, where a TROSY 2D-HN(CO) had failed. Although the approach requires that the ¹H–¹⁵N HSQC cross peaks be observable, it does not require deuteration of the protein. The method is suitable for larger proteins and is less affected by conformational exchange than HNCO experiments, which require a longer period of transverse ¹⁵N magnetization. The method also is tolerant to the partial loss of signal from isotopic dilution (scrambling). This approach will be applicable to families of proteins that have been resistant to NMR structural and dynamic analysis, such as large enzymes, and partially folded or unfolded proteins.     

<Superscript>1</Superscript>H, <Superscript>13</Superscript>C,and <Superscript>15</Superscript>N backbone chemical shift assignments of 4E-BP1<Subscript>44–87</Subscript> and 4E-BP1<Subscript>44–87</Subscript> bound to eIF4E

The eukaryotic translational initiation factor 4G (eIF4G) interacts with the cap-binding protein eIF4E through a consensus binding motif, Y(X)₄LΦ (where X is any amino acid and Φ is a hydrophobic residue). 4E binding proteins (4E-BPs), which also contain a Y(X)₄LΦ motif, regulate the eIF4E/eIF4G interaction. The non- or minimally-phosphorylated form of 4E-BP1 binds eIF4E, preventing eIF4E from interacting with eIF4G, thus inhibiting translation initiation. 4EGI-1, a small molecule inhibitor of the eIF4E/eIF4G interaction that is under investigation as a novel anti-cancer drug, has a dual activity; it disrupts the eIF4E/eIF4G interaction and stabilizes the binding of 4E-BP1 to eIF4E. Here, we report the complete backbone NMR resonance assignment of an unliganded 4E-BP1 fragment (4E-BP1_44–87). We also report the near complete backbone assignment of the same fragment in complex to eIF4E/m⁷GTP (excluding the assignment of the last C-terminus residue, D87). The chemical shift data constitute a prerequisite to understanding the mechanism of action of translation initiation inhibitors, including 4EGI-1, that modulate the eIF4E/4E-BP1 interaction.     

Fractional <Superscript>13</Superscript>C enrichment of isolated carbons using [1-<Superscript>13</Superscript>C]- or [2-<Superscript>13</Superscript>C]-glucose facilitates the accurate measurement of dynamics at backbone C<Superscript>α</Superscript> and side-chain methyl positions in proteins

A simple labeling approach is presented based on protein expression in [1-¹³C]- or [2-¹³C]-glucose containing media that produces molecules enriched at methyl carbon positions or backbone C^α sites, respectively. All of the methyl groups, with the exception of Thr and Ile(δ1) are produced with isolated ¹³C spins (i.e., no ¹³C–¹³C one bond couplings), facilitating studies of dynamics through the use of spin-spin relaxation experiments without artifacts introduced by evolution due to large homonuclear scalar couplings. Carbon-α sites are labeled without concomitant labeling at C^β positions for 17 of the common 20 amino acids and there are no cases for which ¹³C^α−¹³CO spin pairs are observed. A large number of probes are thus available for the study of protein dynamics with the results obtained complimenting those from more traditional backbone ¹⁵N studies. The utility of the labeling is established by recording ¹³C R _1ρ and CPMG-based experiments on a number of different protein systems.     

Gα<Subscript>13</Subscript> is closely related to hematopoiesis in zebrafish

Heterotrimeric guanine nucleotide-binding regulatory proteins (G proteins) function as signal transducers and control many different physiologic processes. G proteins can be grouped into four families: G_s, G_i, G_q and G₁₂. Gα₁₃ belongs to the G₁₂ family. In zebrafish, there are two isoforms of Gα₁₃: Gα₁₃a and Gα₁₃b. We show here that knockdown of Gα₁₃b in zebrafish results in hematopoietic and angiogenic defects. The Gα₁₃b morphants don’t show complete loss of expression of gata1, pu.1 or flk until 35 hpf suggests that Gα₁₃b is closely related to the development of hematopoietic cells. Further studies reveal that blood cells and vascular endothelial cells have undergone apoptosis through a p53-dependent pathway in Gα₁₃b-depleted embryos. Injection of p53 morpholino could partially rescue the phenotype of Gα₁₃b morphants. These data possibly demonstrate a new role for Gα₁₃ in cell survival.     

Pharmacokinetic comparability of Prolastin<Superscript>®</Superscript>-C to Prolastin<Superscript>®</Superscript> in alpha<Subscript>1</Subscript>-antitrypsin deficiency: a randomized study

Background

Alpha₁-antitrypsin (AAT) deficiency is characterized by low blood levels of alpha₁-proteinase inhibitor (alpha₁-PI) and may lead to emphysema. Alpha₁-PI protects pulmonary tissue from damage caused by the action of proteolytic enzymes. Augmentation therapy with Prolastin^® (Alpha₁-Proteinase Inhibitor [Human]) to increase the levels of alpha₁-PI has been used to treat individuals with AAT deficiency for over 20 years. Modifications to the Prolastin manufacturing process, incorporating additional purification and pathogen-reduction steps, have led to the development of an alpha₁-PI product, designated Prolastin^®-C (Alpha₁-Proteinase inhibitor [Human]). The pharmacokinetic comparability of Prolastin-C to Prolastin was assessed in subjects with AAT deficiency.

Methods

In total, 24 subjects were randomized to receive 60 mg/kg of functionally active Prolastin-C or Prolastin by weekly intravenous infusion for 8 weeks before crossover to the alternate treatment for another 8 weeks. Pharmacokinetic plasma samples were drawn over 7 days following last dose in the first treatment period and over 10 days following the last dose in the second period. The primary end point for pharmacokinetic comparability was area under the plasma concentration versus time curve over 7 days post dose (AUC_{0-7 days}) of alpha₁-PI determined by potency (functional activity) assay. The crossover phase was followed by an 8-week open-label treatment phase with Prolastin-C only.

Results

Mean AUC_{0-7 days} was 155.9 versus 152.4 mg*h/mL for Prolastin-C and Prolastin, respectively. The geometric least squares mean ratio of AUC_{0-7 days} for Prolastin-C versus Prolastin had a point estimate of 1.03 and a 90% confidence interval of 0.97-1.09, demonstrating pharmacokinetic equivalence between the 2 products. Adverse events were similar for both treatments and occurred at a rate of 0.117 and 0.078 per infusion for Prolastin-C (double-blind treatment phase only) and Prolastin, respectively (p = 0.744). There were no treatment-emergent viral infections in any subject for human immunodeficiency virus, hepatitis B or C, or parvovirus B19 during the course of the study.

Conclusion

Prolastin-C demonstrated pharmacokinetic equivalence and a comparable safety profile to Prolastin.

Trial Registration

ClinicalTrials.gov Identifier: NCT00295061

     

Determination of the lifetime of D<Stack><Subscript>2</Subscript><Superscript>−</Superscript></Stack> and HD<Superscript>−</Superscript> ions

A method for determining the lifetime of unstable ions is described. The method is based on measuring the decrease in the ion beam current onto a fixed detector with increasing path length of the ion beam from the ion source to the detector. The measurements performed for D^? ₂ and HD^? molecular ions have shown that their lifetimes are 3.5 ± 0.1 and 4.4 ± 0.1 μs, respectively.