PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “ensemble”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 469 records · Page 26Linked to original sources

Identification of tunnels in proteins, nucleic acids, inorganic materials and molecular ensembles.

The knowledge of the access paths connecting interior of molecular systems with surrounding environment is important for the understanding of structurefunction relationships and engineering of molecules for biotechnological applications. CAVER is a computer program developed for calculations of tunnels, channels or pores in the biomolecules, inorganic materials and molecular ensembles. The algorithm performs a skeleton search based on a reciprocal distance function grid. The algorithm is implemented in the stand-alone version, web version and as plug-in for PyMol. CAVER is available from the website http://loschmidt.chemi.muni.cz/caver.

Algorithms↗

In silico profiling of tyrosine kinases binding specificity and drug resistance using Monte Carlo simulations with the ensembles of protein kinase crystal structures.

The molecular basis of the tyrosine kinases binding specificity and drug resistance against cancer drugs Imatinib and Dasatinib is elucidated using Monte Carlo simulations of the inhibitor-receptor binding with the ensembles of protein kinase crystal structures. In silico proteomics analysis unravels mechanisms by which structural plasticity of the tyrosine kinases is linked with the conformational preferences of Imatinib and Dasatinib in achieving effective drug binding with a distinct spectrum of the tyrosine kinome. The differences in the inhibitor sensitivities to the ABL kinase mutants are rationalized based on variations in the binding free energy profiles with the conformational states of the ABL kinase. While Imatinib binding is highly sensitive to the activation state of the enzyme, the computed binding profile of Dasatinib is remarkably tolerant to the conformational state of ABL. A comparative analysis of the inhibitor binding profiles with the clinically important ABL kinase mutants has revealed an excellent agreement with the biochemical and proteomics data. We have found that conformational adaptability of the kinase inhibitors to structurally different conformational states of the tyrosine kinases may have pharmacological relevance in acquiring a specific array of potent activities and regulating a scope of the inhibitor resistance mutations. This study outlines a useful approach for understanding and predicting the molecular basis of the inhibitor sensitivity against potential kinase targets and drug resistance.

Computational Biology↗

Restrained and unrestrained molecular dynamics simulations in the NVT ensemble of alamethicin.

Molecular dynamics simulations on the transmembrane antibiotic peptide alamethicin have been performed in the NVT ensemble (i.e., the number of particles N, the volume V, and the temperature T of the system are kept constant). Results on the structure and conformational flexibility of this molecule are discussed and compared with previous experimental CD, x-ray, nmr data and theoretical computations on fragments analogues. An extensive study of structural and dynamic properties from H-bonding pattern analysis is presented. Evidences for a largely alpha-helix structure with some extent of freedom in the C-terminal region are found. Further, a partition of the molecule into three regions on the base of structural features and dynamic behavior has been proposed, and the correlation among the motions of the three regions is described.

Alamethicin↗

Excitatory synaptic ensemble properties in the visual cortex of the macaque monkey: a current source density analysis of electrically evoked potentials.

The spatio-temporal distributions of excitatory synaptic ensemble activities in A17 and A18 of the visual cortex of the macaque monkey have been investigated. The synaptic activities were elicited by electrical stimulation of the primary efferents and were localized by applying the current source density analysis to the intracortically recorded field potentials. The principal results are as follows: 1. In A17, two groups of activity, evoked by fast and slow afferents, respectively, were distinguishable. 2. The fast afferents induced monosynaptic activity in layer IV C alpha and layer VI, disynaptic activity in layer IV C alpha and in the supragranular layers and trisynaptic activity in layer IV B. 3. The slow efferents induced monosynaptic activity in lower layers IV C beta and layer VI, disynaptic activity via strong connections in upper layer IV C beta, further disynaptic activity in layers III and IV B and trisynaptic activity in layers V A and II. 4. With the exception that the CSD data reveal more polysynaptic activity within layer IV, there is good agreement between the spatio-temporal distribution of synaptic activities and the cortical circuit diagrams proposed in anatomical studies. 5. In A18, activities from the slow and fast conducting afferent systems are revealed in layer IV, both most likely mediated by the monosynaptically activated target cells of A17. These activities are passed on to the supra-and infragranular layers. 6. In the lateral geniculate nucleus the safety factor of transmission is higher for activity conveyed by slow-than by fast-conducting retinal afferents. 7. The spatial distribution of monocularly evoked surface potentials failed to reveal the ocular dominance columns. 8. Comparison with the cat indicates that, with respect to the intracortical circuitry and LHN-transmission, there are more similarities between the fast-group activity in the monkey and the y-system in the cat and between the slow-group activity in the monkey and the x-system in the cat than vice versa.

Animals↗

The study of protein folding and dynamics by determination of intramolecular distance distributions and their fluctuations using ensemble and single-molecule FRET measurements.

The folding and dynamics of globular proteins is a multidimensional problem. The structures of the heterogeneous population of refolding protein molecules are characterized by multiple distances and time constants. Deciphering the mechanism of folding depends on studies of the processes rather than the folded structures alone. Spectroscopy is indispensable for these sorts of studies. Herein, it is shown that the determination of intramolecular distance distributions by ensemble and single-molecule FRET experiments enable the exploration of partially folded states of refolding protein molecules.

Adenylate Kinase↗

Omnibus permutation tests of the association of an ensemble of genetic markers with disease in case-control studies.

An omnibus permutation test of the overall null hypothesis can be used to assess the association of an entire ensemble of genetic markers with disease in case-control studies. In this approach, p-values for univariate marker-specific Armitage trend tests are combined to form a scalar statistic, which is then used in a permutation test to determine an overall p-value. Two previously described competing methods utilize either a standard two-sample Hotelling's T2 statistic or a global U statistic that is a weighted sum of univariate U statistics. In contrast to Hotelling's test, omnibus tests are much less sensitive to missing data, and utilize all available data. In contrast to the global U test, omnibus tests do not require that the direction of the effects of the individual markers on the risk of disease be correctly specified in advance; in fact, any combination of one- and two-sided univariate tests can be used. Simulations show that, even under circumstances favoring the competing tests (no missing data; direction of effects known), omnibus permutation tests based on Fisher's combining function or the Anderson-Darling statistic typically have power comparable to or greater than Hotelling's and the global U tests.

Case-Control Studies↗

Fast rate coding in hippocampal CA3 cell ensembles.

Environments with overlapping features are represented by distinct patterns of activity in the hippocampus, enabling information to be stored and retrieved with minimal interference. This orthogonalization of correlated inputs is thought to take place within the hippocampus itself. However, the orthogonalization process has been shown to take days to develop in CA1. This prolonged time course is in striking contrast to the fast encoding of behavioral memory by the hippocampus. To explore this apparent paradox, we asked whether orthogonalization depended on the type of remapping exhibited by the hippocampal network. We have previously distinguished two types of remapping, global remapping, which results in the activation of different assemblies of place fields, and rate remapping, which encodes differences between cue constellations by substantial changes in firing rate without a change in the place code. Global remapping has previously been shown to be expressed immediately at novel locations. Here we asked if rate remapping follows a slower time course. Ensemble activity was recorded simultaneously from CA3 and CA1 in rats exposed to two similar, novel environments. It was found that rate changes in response to novel sensory cue configurations can form immediately, just as during global remapping, in particular in CA3. The fast encoding of both spatial and nonspatial information in CA3 is consistent with a role for the autoassociative CA3 circuitry in the acquisition and expression of episodic memories.

Action Potentials↗

Ensemble and single particle photophysical properties (two-photon excitation, anisotropy, FRET, lifetime, spectral conversion) of commercial quantum dots in solution and in live cells.

In this work, we characterized streptavidin-conjugated quantum dots (QDs) manufactured by Quantum Dot Corporation. We present data on: (1) two-photon excitation; (2) fluorescence lifetimes; (3) ensemble and single QD emission anisotropy; (4) QDs as donors for Forster resonance energy transfer (FRET); and (5) spectral conversion of QDs exposed to high-intensity illumination. We also demonstrate the utility of QDs for (1) imaging the binding and uptake of biotinylated transferrin on living cells, and (2) resolving by fluorescence lifetime imaging microscopy (FLIM) signals originating from QDs from those of spatially and spectrally overlapping visible fluorescent proteins (VFPs).

Anisotropy↗

Design of synthetic gene libraries encoding random sequence proteins with desired ensemble characteristics.

Libraries of random sequence polypeptides are useful as sources of unevolved proteins, novel ligands, and potential lead compounds for the development of vaccines and therapeutics. The expression of small random peptides has been achieved previously using DNA synthesized with equimolar mixtures of nucleotides. For many potential uses of random polypeptide libraries, concerns such as avoiding termination codons and matching target amino acid compositions make more complex designs necessary. In this study, three mixtures of nucleotides, corresponding to the three positions in the codon, were designed such that semirandom DNA synthesized by repeated cycles of the three mixtures created an open reading frame encoding random sequence polypeptides with desired ensemble characteristics. Two methods were used to design the nucleotide mixtures: the manual use of a spreadsheet and a refining grid search algorithm. Using design targets of less than or equal to 1% stop codons and an amino acid composition based on the average ratios observed in natural, globular proteins, the search methods yielded similar nucleotide ratios, Semirandom DNA, synthesized with a designed, three-residue repeat pattern, can encode libraries of very high diversity and represents an important tool for the construction of random polypeptide libraries.

Amino Acid Sequence↗

Prediction of protein structure by emphasizing local side-chain/backbone interactions in ensembles of turn fragments.

The prediction strategy used in the CASP5 experiment was premised on the assumption that local side-chain/backbone interactions are the principal determinants of protein structure at low resolution. Our implementation of this assumption made extensive use of a scoring function based on the propensities of the 20 amino acids for 137 different sub-regions of the Ramachandran plot, allowing estimation of the quality of fit between a sequence segment and a known conformation. New folds were predicted in three steps: prediction of secondary structure, threading to isolate fragments of protein structures corresponding to one turn plus flanking helices/strands, and recombination of overlapping fragments. The most important step in this fragment ensemble approach, the isolation of turn fragments, employed 2 to 6 sequence homologues when available, with clustering of the best scoring fragments to recover the most common turn arrangement. Recombinants formed between 3 to 8 turn fragments, with cross-overs confined to helix/strand segments, were selected for compactness plus low energy as estimated by empirical amino acid pair potentials, and the most common overall topology identified by visual inspection. Because significant amounts of steric overlap were permitted during the recombination step, the final model was manually adjusted to reduce overlap and to enhance protein-like structural features. Even though only one or two models were submitted per target, for several targets the correct chain topology was predicted for fragment lengths up to 100 amino acids.

Binding Sites↗

Multiple protein folding nuclei and the transition state ensemble in two-state proteins.

Using exhaustive simulations of lattice models with side-chains, we show that optimized two-state folders reach the native state by a nucleation-collapse mechanism with multiple folding nuclei (MFN). For both the full model and the Go version, there are certain contacts that on an average participate in the critical nuclei with higher probability than the others. The high- (> or = 0.5) probability contacts are largely determined by the structure of the native state. Comparison of the results for the full sequence and the Go model shows that non-native interactions compromise the degree of cooperativity and stability of the native state. From an extremely detailed analysis of the folding kinetics, we find that non-native interactions are present in the folding nuclei. The folding times decrease if the non-native interactions in the folding nuclei are made neutral or repulsive. Using cluster analysis and making no prior assumption about reaction coordinate, we show that both full and Go models have three distinct transition states that give a structural description for the MFN. In the transition states, on an average, about two-thirds of the sequence is structured, whereas the rest is disordered, reminiscent of the polarized transition state in the SH3 domain. Our studies show that Go models cannot describe the transition state characteristics of two-state folders at the molecular level. As a byproduct of our investigations, we establish that our method of computing the transition state ensemble is numerically equivalent to the technique based on the stochastic separatrix, which also does not require a priori knowledge of the folding reaction coordinate.

Algorithms↗

Towards in silico lead optimization: scores from ensembles of protein/ligand conformations reliably correlate with biological activity.

Accurately ranking protein/ligand interactions and distinguishing subtle differences between homologous compounds in a virtual focused library in silico is essential in a structure-based drug discovery program. In order to establish a predictive model to design novel inhibitors of dihydrofolate reductase (DHFR) from the parasitic protozoa, Cryptosporidium hominis, we docked a series of 30 DHFR inhibitors with measured inhibition constants against the crystal structure of the protein. By including protein flexibility and averaging the energies of the 25 lowest protein/ligand conformers we obtained more accurate total nonbonded energies from which we calculated a predicted biological activity. The calculated and measured biological activities showed reliable correlations of 72.9%. Additionally, visual analysis of the ensemble of protein/ligand conformations revealed alternative ligand binding pockets in the active site. Using the same principles we then created a homology model of DHFR from Toxoplasma gondii and docked 11 inhibitors. A correlation of 50.2% between docking score and activity validates both the method and the model. The correlations presented here are particularly compelling considering the high structural similarity of the ligands and the fact that we have used structures derived from crystallographic data and homology modeling. These docking principles may be useful in any lead optimization study where accurate ranking of similar compounds is desired.

Algorithms↗

"Ensemble" iterative relaxation matrix approach: a new NMR refinement protocol applied to the solution structure of crambin.

The structure in solution of crambin, a small protein of 46 residues, has been determined from 2D NMR data using an iterative relaxation matrix approach (IRMA) together with distance geometry, distance bound driven dynamics, molecular dynamics, and energy minimization. A new protocol based on an "ensemble" approach is proposed and compared to the more standard initial rate analysis approach and a "single structure" relaxation matrix approach. The effects of fast local motions are included and R-factor calculations are performed on NOE build-ups to describe the quality of agreement between theory and experiment. A new method for stereospecific assignment of prochiral groups, based on a comparison of theoretical and experimental NOE intensities, has been applied. The solution structure of crambin could be determined with a precision (rmsd from the average structure) of 0.7 A on backbone atoms and 1.1 A on all heavy atoms and is largely similar to the crystal structure with a small difference observed in the position of the side chain of Tyr-29 which is determined in solution by both J-coupling and NOE data. Regions of higher structural variability (suggesting higher mobility) are found in the solution structure, in particular for the loop between the two helices (Gly-20 to Pro-22).

Amino Acid Sequence↗

Defining protein ensembles with native-state NH exchange: kinetics of interconversion and cooperative units from combined NMR and MS analysis.

Previous studies of native-state peptide hydrogen atom (NH) exchange in turkey ovomucoid third domain (OMTKY3) yielded the thermodynamics and kinetics of unfolding and folding for the 14 slowest-exchanging peptide hydrogen atoms (NHs). Unfolding rate constants and free energies for nine of the NHs are very similar, suggesting that these NHs exchange during a single cooperative unfolding event. Electrospray ionization mass spectrometry (ESI-MS) has been used to test this hypothesis. ESI-MS data and MS peak simulations suggest that this hypothesis is incorrect: in spite of the similarity in their unfolding rate constants, only three to five of the nine residues exchange in a cooperative manner. Thus, residues with similar thermodynamics and kinetics of exchange are probably involved in multiple conformational equilibria. Overall, combined NMR and MS analysis of NH exchange provides a rich and complex picture of the ensemble properties of native proteins.

Animals↗

Analysis methods for comparison of multiple molecular dynamics trajectories: applications to protein unfolding pathways and denatured ensembles.

In molecular dynamics simulations of protein unfolding, the pathway of one protein molecule is studied at a time. In contrast, experimental denaturation studies sample from large ensembles of molecules passing from the native to unfolded state. If reasonable comparisons with experiment are to be made, then the generality of the simulations needs to be confirmed by performing multiple unfolding simulations. Given that protein unfolding trajectories are very complicated functions of the proteins and the environment, comparing different trajectories, even under the same conditions, is not straightforward. Several methods are presented here that attempt to accomplish this task at different levels of complexity. The simpler methods are geometry based and make use of the root-mean-squared deviations between structures, while the more complicated methods are based on the time variation of the various properties of the system during the unfolding process. These methods are applied to multiple simulations of three different proteins, bovine pancreatic trypsin inhibitor, chymotrypsin inhibitor 2, and barnase. In general, for these three proteins protein unfolding proceeded via expansion of the core and fraying of secondary structure to yield the major transition state. Once past the transition state, the trajectories for a given protein diverged as the protein lost further secondary and tertiary structure by a variety of mechanisms. Although the unfolding pathways diverged, similar conformations were populated in the denatured state even when the unfolding occurred via different pathways. The multitude of different pathways leading to the denatured state agrees with the funnel description of protein folding. Although the pathways differed in conformational space, the physical properties of the conformations were often similar, highlighting the danger of assuming that similar observed properties imply similar conformations. In fact, there may be many different "conformational pathways" of unfolding that fit within a preferred "property space pathway".

Aprotinin↗

Ensemble modulation as an origin of denaturant-independent hydrogen exchange in proteins.

Native state hydrogen exchange (HX) has become a powerful tool for the analysis of conformational states that exist under native conditions. However, the interpretation of HX data in terms of conformational fluctuations is still controversial. In particular, it has been shown that many residues display exchange behavior that is independent of denaturant concentration. It has been postulated that this lack of denaturant dependence results from local fluctuations that do not expose appreciable amounts of buried surface area. Here, we use a general thermodynamic description of HX to explore the different possibilities for this behavior. We find that the denaturant dependence seen in HX experiments under native conditions is not a de facto indication of the amount of surface area exposure required for exchange. Instead, this behavior results from the relatively homogenous character of the conformational ensemble that exists under native conditions and the non-specific nature of denaturant effects. Furthermore, a comparison of the HX behavior from a stabilized mutant of Staphylococcal nuclease (SNase) with that predicted for the wild-type SNase from the COREX algorithm suggests that denaturant-independent exchange of many residues is consistent with significant (approximately 10 %) surface area exposure for this protein.

Algorithms↗

Three topologically equivalent core residues affect the transition state ensemble in a protein folding reaction.

The single domain protein, interleukin-1beta, is representative of a distinct class of proteins characterized by their beta-trefoil topology. Each subdomain of this structural class is composed of a beta beta beta loop beta (betabetabetaLbeta) motif comprised of approximately 50 residues and gives the protein a pseudo- 3-fold axis of symmetry. A common feature of proteins in this topological family appears to be that they are slow folders, which reach the native state on the order of tens to 100s of seconds. Sequence analysis of interleukin-1beta indicates that three phenylalanine residues located at positions 42, 101, and 146 are well conserved, separated by approximately 50 residues in the primary sequence, located in similar positions in the pseudo-symmetric units of the trefoil, and are juxtaposed to one another in conformational space. These residues surround the hydrophobic cavity and "pin" the hairpin triplet cap to the core beta-barrel. To determine if cap-barrel interactions are involved in maintaining the structural stability and cooperativity or in controlling the slow formation of the native state, we performed a series of mutational studies. The results indicate that interleukin-1beta tolerates large increases in side-chain volume at these three topologically conserved sites with little effect on stability, while the kinetics show significant differences in both the unfolding and refolding rates. Taken together, our results indicate that these conserved core residues are essential contacts in the transition-state ensemble for folding.

Circular Dichroism↗

Techniques for long-term multisite neuronal ensemble recordings in behaving animals.

Advances in our understanding of neural systems will go hand in hand with improvements in the experimental techniques used to study these systems. This article describes a series of methodological developments aimed at enhancing the power of the methods needed to record simultaneously from populations of neurons over broad regions of the brain in awake, behaving animals. First, our laboratory has made many advances in electrode design, including movable bundle and array electrodes and smaller electrode assemblies. Second, to perform longer and more complex multielectrode implantation surgeries in primates, we have modified our surgical procedures by employing comprehensive physiological monitoring akin to human neuroanesthesia. We have also developed surgical implantation techniques aimed at minimizing brain tissue damage and facilitating penetration of the cortical surface. Third, we have integrated new technologies into our neural ensemble, stimulus and behavioral recording experiments to provide more detailed measurements of experimental variables. Finally, new data analytical techniques are being used in the laboratory to analyze increasingly large quantities of data.

Animals↗