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At least 487 records · Page 27Linked to original sources
PubMed1998

Imaging RNA and dynamic protein segments with low-resolution virus crystallography: experimental design, data processing and implications of electron density maps.

Single crystal diffraction data were collected from virus crystals in the resolution range of 270 to 14 A using a synchrotron X-ray source and a small-angle scattering instrument adapted for single crystal measurements. Reflections were measured from single crystals of the capsid of the double-stranded DNA bacteriophage HK97 and synthetic Flock House virus-like particles (sFHV). The quality of the low-resolution measurements was confirmed by excellent scaling statistics for both data sets. The sFHV amplitudes between 270 and 90 A resolution were closely similar to independently measured solution scattering data, and to data calculated from the Fourier transform of a uniform density sphere of 315 A diameter. A rotation function computed with the sFHV data between 70 and 20 A resolution was readily interpretable. A uniform density sphere model was used to compute phases for measured amplitudes between 270 and 68 A resolution. The calculated phases were refined and extended to 14 A resolution with real space averaging employing an external mask shape defined by the high-resolution structure. The resulting electron density map displayed regions interpretable as loosely ordered RNA that connected ordered RNA segments seen in a published 3.0 A resolution map. The published high-resolution electron density map lacked data inside 15 A resolution and the interior of the particle in that map appeared hollow. Difference electron density maps corresponding to bulk RNA were computed by subtracting the contribution of the protein shell, based on the available high-resolution atomic model, from either the cryo-electron microscopy density or the low-resolution X-ray density. Features of the RNA were closely similar in the cryo-electron microscopy and X-ray maps, demonstrating the consistency of the two imaging methods. Electron density maps computed at 14 and 6 A resolution with the X-ray amplitudes showed that RNA contributed little to the scattering beyond 14 A resolution.

Bacteriophages↗
PubMed2003

Protein crystal structure analysis from high-resolution X-ray powder-diffraction data.

Although high-resolution powder diffraction of proteins is in its infancy, we can easily see future developments of the method that will allow examination of protein structures that exceed 100 kDa. In particular, current data-collection technology scans the powder-diffraction pattern a few points at a time over a very narrow field of view. The use of high-resolution imaging technology and X-ray focusing optics should improve this 1000-fold or more, making it possible to use powder diffraction on a laboratory X-ray source to screen for the formation of protein/drug complexes and to determine their structures.

Animals↗
PubMed2003

Application of two-dimensional correlation spectroscopy to chemometrics: self-modeling curve resolution analysis of spectral data sets.

This paper demonstrates the use of two-dimensional (2D) correlation spectroscopy in conjunction with alternating least squares (ALS) based self-modeling curve resolution (SMCR) analysis of spectral data sets. This iterative regression technique utilizes the non-negativity constraints for spectral intensity and concentration. ALS-based SMCR analysis assisted with 2D correlation was applied to Fourier transform infrared (FT-IR) spectra of a polystyrene/methyl ethyl ketone/deuterated toluene (PS/MEK/d-toluene) solution mixture during the solvent evaporation process to obtain the pure component spectra and then the time-dependent concentration profiles of these three components during the evaporation process. We focus the use of asynchronous 2D correlation peaks for the identification of pure variables needed for the initial estimates of the ALS process. Choosing the most distinct bands via the positions of asynchronous 2D peaks is a viable starting point for ALS iteration. Once the pure variables are selected, ALS regression can be used to obtain the concentration profiles and pure component spectra. The obtained pure component spectra of MEK, d-toluene, and PS matched well with known spectra. The concentration profiles for components looked reasonable.

Algorithms↗
PubMed1999

Disordered water within a hydrophobic protein cavity visualized by x-ray crystallography.

Water in the hydrophobic cavity of human interleukin 1beta, which was detected by NMR spectroscopy but was invisible by high resolution x-ray crystallography, has been mapped quantitatively by measurement and phasing of all of the low resolution x-ray diffraction data from a single crystal. Phases for the low resolution data were refined by iterative density modification of an initial flat solvent model outside the envelope of the atomic model. The refinement was restrained by the condition that the map of the difference between the electron density distribution in the full unit cell and that of the atomic model be flat within the envelope of the well ordered protein structure. Care was taken to avoid overfitting the diffraction data by maintaining phases for the high resolution data from the atomic model and by a resolution-dependent damping of the structure factor differences between data and model. The cavity region in the protein could accommodate up to four water molecules. The refined solvent difference map indicates that there are about two water molecules in the cavity region. This map is compatible with an atomic model of the water distribution refined by using XPLOR. About 70% of the time, there appears to be a water dimer in the central hydrophobic cavity, which is connected to the outside by two constricted channels occupied by single water molecules approximately 40% of the time on one side and approximately 10% on the other.

Computer Simulation↗
PubMed2002

Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements.

OBJECTIVES: In this paper, we employed advanced methods for the modeling of human cortical activity related to voluntary right one-digit movements from combined high-resolution electroencepholography (EEG) and functional magnetic resonance imaging (fMRI). METHODS: Multimodal integration between EEG and fMRI data was performed by using realistic head models, a large number of scalp electrodes (128) and the estimation of current density strengths by linear inverse estimation. RESULTS: Increasing of spatial details of the estimated cortical density distributions has been detected by using the proposed integration method with respect to the estimation using EEG data alone. CONCLUSION: The proposed method of multimodal EEG-fMRI data is useful to increase spatial resolution of movement-related potentials and can also be applied to other kinds of event-related potentials.

Brain Mapping↗
PubMed1996

The pore domain of the nicotinic acetylcholine receptor: molecular modeling, pore dimensions, and electrostatics.

The pore domain of the nicotinic acetylcholine receptor has been modeled as a bundle of five kinked M2 helices. Models were generated via molecular dynamics simulations incorporating restraints derived from 9-A resolution cryoelectron microscopy data (Unwin, 1993; 1995), and from mutagenesis data that identify channel-lining side chains. Thus, these models conform to current experimental data but will require revision as higher resolution data become available. Models of the open and closed states of a homopentameric alpha 7 pore are compared. The minimum radius of the closed-state model is less than 2 A; the minimum radius of the open-state models is approximately 6 A. It is suggested that the presence of "bound" water molecules within the pore may reduce the effective minimum radii below these values by up to approximately 3 A. Poisson-Boltzmann calculations are used to obtain a first approximation to the potential energy of a monovalent cation as it moves along the pore axis. The differences in electrostatic potential energy profiles between the open-state models of alpha 7 and of a mutant of alpha 7 are consistent with the experimentally observed change in ion selectivity from cationic to anionic. Models of the open state of the heteropentameric Torpedo nicotinic acetylcholine receptor pore domain are also described. Relatively small differences in pore radius and electrostatic potential energy profiles are seen when the Torpedo and alpha 7 models are compared.

Amino Acid Sequence↗
PubMed2000

Bioinformatics: analysis of HLA sequence data.

High resolution HLA typing is a requirement for the selection of matched donors in hematopoietic cell transplantation. The high resolution typing method that provides the most accurate and complete identification of HLA genotypes is sequencing-based typing (SBT). For each sample being tested, SBT defines the exact nucleotide sequence of the coding regions of both alleles at a given HLA locus. Identification of the underlying genotype of the sample can then be made by computerized sequence comparison with all possible HLA allele combinations at that locus. The use of SBT to identify the complete nucleotide sequence of a given HLA gene also enables the direct detection of previously undefined alleles. Since different HLA alleles may differ by a single nucleotide, the accurate assignment of an HLA genotype by SBT is absolutely dependent on the correct identification of the nucleotide at each position for a given sample. However, automated sequence analysis of heterozygous samples may result in the ambiguous assignment of nucleotides at a given position. In addition, ambiguous assignments may result from the sequencing of two different samples that express different HLA alleles but whose sequence profiles appear exactly the same. Both of these ambiguous situations can be resolved by the application of the multi-sequence analysis (MSA) method described here.

Alleles↗
PubMed2002

Maize introduction into Europe: the history reviewed in the light of molecular data.

The resolution that can be obtained from molecular genetic markers affords new prospects for understanding the dispersion of agricultural species from their primary origin centres. In order to study the introduction and the dispersion of maize in Europe, we have characterised a large and representative set of maize populations of both American and European origins for their variation at 29 restriction fragment length polymorphism loci. Polymorphism was higher for American populations than for European populations (respectively, 12.3 and 9.6 alleles per locus, on average), and only a few alleles were specific to European populations. Investigation of genetic similarity between populations from both continents made it possible to identify various types of American maize introduced into Europe at different times or in different places and which have given rise to distinctive European races. Beyond confirming the importance of Caribbean germplasm, the first maize type to be introduced into Europe, this research revealed that introductions of Northern American flint populations have played a key role in the adaptation of maize to the European climate. According to a detailed historical investigation, the introduction of these populations must have occurred shortly after the discovery of the New World.

Europe↗
PubMed1994

Potential problems associated with the Rustrak Ranger data logger's data storage technique.

To maximize the 8 kilobyte memory of the Rustrak Ranger data logger, a patented technique called adaptive storage was used. With adaptive storage, the data logger predicts the value of an incoming reading. Based on previously stored readings, the data logger predicts the next reading to be constant, linear, or exponential. If the reading falls outside a window surrounding the predictions, it is stored; otherwise, it is discarded. The size of the window affects the rate at which the readings are stored, and thus is adjusted so data can be collected for the specified sampling time. If the windows are made too large, there is a resultant loss in the resolution of the data. The characteristics of the instrument and the contaminant or physical agent being measured (i.e., air contaminant versus noise) also affect data resolution. In this evaluation, previously collected exposure data (air monitoring) were sent by a computer to the Rustrak Ranger for recording. To determine the effect of the sampling time on resolution, the recorded data were analyzed using two different methods. Sampling times varied from 2 to 120 minutes. These tests showed poor resolution for sampling times as short as 30 minutes, indicating that the Rustrak Ranger may not be suitable for certain types of sampling schemes. However, if used within its limitations, this data logger is a valuable tool for recording real-time industrial hygiene data.

Computer Storage Devices↗
PubMed1997

Roughness of the globular protein surface: analysis of high resolution X-ray data.

In an earlier publication [Serdyuk, I.N. et al., Biofizika, in press, 1997] we demonstrated that the asymmetry extent of globular proteins does not change with increasing their sizes, and the observed nontrivial dependence of the protein accessible surface area on the molecular mass [Miller, S., J. Mol. Biol. 196:641-656, 1987] (A(s) - M dependence) is a reflection of the protein surface relief peculiarities. To clarify these peculiarities, an analysis of the molecular surface on the basis of high-resolution x-ray data has been done for 25 globular proteins not containing prosthetic groups. The procedure was based on studying the dependence of the minimal number (N) of probe bodies (here cubes) covering the entire protein surface, both on their size (N - R dependence) and on the value of dry protein volume (N - V dependence). Two levels of protein surface organization have been detected by molecular surface analysis. On the micro scale (2-7 A), the surface is characterized by a D = 2.1 fractal dimension which is intrinsic to surfaces with weak deformations and reflects the local atomic group packing. On the macro scale, large-scale surface defects are revealed that are interpreted as the result of secondary structure elements packing. A simple model of protein surface representation reflecting large-scale irregularities has been proposed.

Fractals↗
PubMed1999

Event-related dimensional reductions in the primary auditory cortex of the conscious cat are revealed by new techniques for enhancing the non-linear dimensional algorithms.

The analytic algorithms derived from non-linear deterministic models may be more sensitive to differences in physiological data than those based on linear stochastic models. Among the non-linear algorithms the time-dependent dimensional ones appear to be the most sensitive discriminators. In the present study dimensional responses were examined in both electronically and mathematically generated data and in high-resolution physiological data. The latter were event-related potentials (ERPs) recorded from the primary auditory cortex of cats during classical conditioning. Two techniques were found to lengthen and stabilize the linear scaling region in the correlation integral of the dimensional algorithms: (1) linking trials to increase data length; and (2) gain reduction to lower integer-values of noise, combined with algorithmic setting of slopes < 0.5 to zero. Of the three dimensional algorithms examined, only the time-dependent Point Correlation Dimension (PD2i) showed low error rates when tracking the dimensional shifts in non-stationary generated data. This algorithm also uniquely distinguished between the conditioned and unconditioned physiological responses. The ERPs had corresponding PD2i's that were significantly different from each other as well as from their own randomized-phase surrogates. The brief dimensional reduction that follows a conditioned stimulus is interpreted to be related to 'cooperativity' among the underlying cortical neurons that contribute to its electrogenesis.

Algorithms↗
PubMed2004

A comparison between experimental and theoretical aspherical-atom scattering factors for charge-density refinement of large molecules.

The differences between two databases describing the polypeptide main chain in terms of charge-density parameters, directly usable in protein structure refinements, are discussed. These databases contain averaged multipole populations of peptide pseudo-atoms obtained from refinement against theoretical simulated data and against high-resolution experimental data on small peptide or amino acid molecules. The main discrepancy becomes apparent when electrostatic properties are calculated.

Crystallography, X-Ray↗
PubMed2004

Best alpha-helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information.

Methods that predict the topology of helical membrane proteins are standard tools when analyzing any proteome. Therefore, it is important to improve the performance of such methods. Here we introduce a novel method, PRODIV-TMHMM, which is a profile-based hidden Markov model (HMM) that also incorporates the best features of earlier HMM methods. In our tests, PRODIV-TMHMM outperforms earlier methods both when evaluated on "low-resolution" topology data and on high-resolution 3D structures. The results presented here indicate that the topology could be correctly predicted for approximately two-thirds of all membrane proteins using PRODIV-TMHMM. The importance of evolutionary information for topology prediction is emphasized by the fact that compared with using single sequences, the performance of PRODIV-TMHMM (as well as two other methods) is increased by approximately 10 percentage units by the use of homologous sequences. On a more general level, we also show that HMM-based (or similar) methods perform superiorly to methods that focus mainly on identification of the membrane regions.

Animals↗
PubMed2002

Simultaneous retrieval of atmospheric profiles, land-surface temperature, and surface emissivity from Moderate-Resolution Imaging Spectroradiometer thermal infrared data: extension of a two-step physical algorithm.

An extension to the two-step physical retrieval algorithm was developed. Combined clear-sky multitemporal and multispectral observations were used to retrieve the atmospheric temperature-humidity profile, land-surface temperature, and surface emissivities in the midwave (3-5 microns) and long-wave (8-14.5 microns) regions. The extended algorithm was tested with both simulated and real data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator. A sensitivity study and error analysis demonstrate that retrieval performance is improved by the extended algorithm. The extended algorithm is relatively insensitive to the uncertainties simulated for the real observations. The extended algorithm was also applied to real MODIS daytime and nighttime observations and showed that it is capable of retrieving medium-scale atmospheric temperature water vapor and retrieving surface temperature emissivity with retrieval accuracy similar to that achieved by the Geostationary Operational Environmental Satellite (GOES) but at a spatial resolution higher than that of GOES.

Journal Article↗
PubMed1998

Structure determination of a 16.8 kDa copper protein at 2.1 A resolution using anomalous scattering data with direct methods.

The structure of rusticyanin, an acid-stable copper protein, has been determined at 2.1 A resolution by direct methods combined with the single-wavelength anomalous scattering (SAS) of copper (f" = 3.9 e-) and then conventionally refined (Rcryst = 18.7%, Rfree = 21.9%). This is the largest unknown protein structure (Mr approximately /= 16.8 kDa) to be determined using the SAS and direct-methods approach and demonstrates that by exploiting the anomalous signal at a single wavelength, direct methods can be used to determine phases at typical (approximately 2 A) macromolecular crystallographic resolutions. Extrapolating from the size of the anomalous signal for copper (f" approximately 4 e-), this result suggests that the approach could be used for proteins with molecular weights of up to 33 kDa per Se (f"max++ = 8 e- at the 'white line') and 80 kDa for a Pt derivative (f"max = 19 e- at the 'white line', L3 edge). The method provides a powerful alternative in solving a de novo protein structure without either preparing multiple crystals (i.e. isomorphous heavy-atom derivative plus native crystals) or collecting multi-wavelength anomalous diffraction (MAD) data.

Azurin↗
PubMed2026

Overcoming Artificial Structures in Resolution-Enhanced Hi-C Data by Signal Decomposition and Multi-Scale Attention.

Computational enhancement is an important strategy for inferring high-resolution features from genome-wide chromosome conformation capture (Hi-C) data, which typically have limited resolution. Deep learning has been highly successful in this task but we show that it creates prevalent artificial structures in the enhanced data due to the need to divide the large contact matrix into small patches. In addition, previous deep learning methods largely focus on local patterns, which cannot fully capture the complexity of Hi-C data. Here we propose Smooth, High-resolution, and Accurate Reconstruction of Patterns (SHARP) for enhancing Hi-C data. It uses the novel approach of decomposing the data into three types of signals, due to one-dimensional proximity, contiguous domains, and other fine structures, respectively, and applies deep learning only to the third type of signals, such that enhancement of the first two is unaffected by the patches. For the deep learning part, SHARP uses both local and global attention mechanisms to capture multi-scale contextual information. We compare SHARP with state-of-the-art methods extensively, including application to data from new samples and another species, and show that SHARP has superior performance in terms of resolution enhancement accuracy, avoiding creation of artificial structures, identifying significant interactions, and enrichment in chromatin&#xa0;states.

Hi&#x2010;C↗
PubMed2001

Structure determination of two metal-organic complexes from high-resolution synchrotron powder diffraction data.

The crystal structures of [1,2-bis(2,6-diisopropylphenylimino)acenaphthene-N,N']carbonylchlororhodium(I) (1) and [N,N'-ethylene-bis(3-methylsalicylideneiminato)-O,N,N',O'](tetrahydrofurfuryl)-cobalt(II) (2) have been determined from high-resolution synchrotron X-ray powder diffraction data. Compound 1 is the first neutral Rh complex, in contrast with findings in the literature, containing a bidentate nitrogen ligand, and compound 2 is the first three-dimensional structure of a (five-coordinated) tetrahydrofurfurylcobalt(III) complex. Grid-search and Rietveld refinement have been used to determine and refine the structures, respectively. Crystals of 1 are orthorhombic, space group Pbca, Z = 8, with cell parameters a = 21.729 (2), b = 27.376 (3), c = 11.580 (1) A. Crystals of 2 are monoclinic, space group P2(1)/n, Z = 4, a = 16.6701 (6), b = 9.4170 (4), c = 13.7088 (7) A and beta = 96.520 (3) degrees. Chemical diagrams for the two compounds are given. Soft restraints were applied during Rietveld refinement; for 1 converging to R(p) = 8.4%, R(w) = 11.0%, GoF = 2.3, and for 2 converging to R(p) = 8.5%, R(w) = 11.4%, GoF = 7.6.

Journal Article↗