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Andrei Korostelev

Publications and source records attributed to Andrei Korostelev.

8 recordsLinked to original sources

Crystal structure of a 70S ribosome-tRNA complex reveals functional interactions and rearrangements.

Our understanding of the mechanism of protein synthesis has undergone rapid progress in recent years as a result of low-resolution X-ray and cryo-EM structures of ribosome functional complexes and high-resolution structures of ribosomal subunits and vacant ribosomes. Here, we present the crystal structure of the Thermus thermophilus 70S ribosome containing a model mRNA and two tRNAs at 3.7 A resolution. Many structural details of the interactions between the ribosome, tRNA, and mRNA in the P and E sites and the ways in which tRNA structure is distorted by its interactions with the ribosome are seen. Differences between the conformations of vacant and tRNA-bound 70S ribosomes suggest an induced fit of the ribosome structure in response to tRNA binding, including significant changes in the peptidyl-transferase catalytic site.

Bacterial Proteins↗

Bias in cross-validated free R factors: mitigation of the effects of non-crystallographic symmetry.

Current methods of free R factor cross-validation assume that the structure factors of the test and working sets are independent of one another. This assumption is only an approximation when the modeled structure occupies anything less than the full asymmetric unit. Through progressive elimination of reflections from the working set, starting with those expected to be most correlated to the test set, small biases in free R can be measured, presumably because of over-sampling of the Fourier transform owing to bulk solvent in the crystal. This level of bias may be of little practical importance, but it rises to significant levels with increasing non-crystallographic symmetry owing to wider correlations between structure factors than hitherto appreciated. In the presence of 15-fold non-crystallographic symmetry, with resolutions commonly attainable in macromolecular crystallography, it may not be possible to calculate an unbiased free R factor. Methods are developed for the calculation of reduced-bias free R factors through elimination of the strongest correlations between test and working sets. With 180-fold non-crystallographic symmetry they may not be an accurate indicator of absolute quality, but they do yield the correct optimal weighting for stereochemical restraints.

Algorithms↗

Characterization of the capsid protein glycosylation of adeno-associated virus type 2 by high-resolution mass spectrometry.

Adeno-associated virus type 2 (AAV-2) capsid proteins have eight sequence motifs that are potential sites for O- or N-linked glycosylation. Three are in prominent surface locations, close to the sites of cellular receptor attachment and to neutralizing epitopes on or near protrusions surrounding the three-fold axes, raising the possibility that AAV-2 might use glycosylation as a means of immune escape or for preventing reattachment on release of progeny virus. Peptide mapping and structural analysis by Fourier transform ion cyclotron resonance mass spectrometry demonstrates, however, no glycosylation of the capsid protein for virus prepared in cultured HeLa cells.

Capsid Proteins↗

Impact of a Poisson-Boltzmann electrostatic restraint on protein structures refined at medium resolution.

The Poisson-Boltzmann formulism has been developed as a restraint for electrostatic interactions during the crystallographic refinement of macromolecules. It accounts implicitly for the effects of solvent and mobile ions, which are usually not included as restraints in the refinement of experimental structures. The electrostatic restraint has been implemented by combining software for numerically solving the three-dimensional Poisson-Boltzmann equation with a package for stereochemically restrained refinement. Its application to medium-resolution protein structures leads to a reduced free R factor, overfitting and to improved interactions in salt bridges and between polar or charged amino acids and the solvent. In contrast, Coulombic and screened Coulombic treatments did not lead to significant gains. The work leads to a modest improvement in refinement methods, confirmation that the Poisson-Boltzmann formulism is more consistent with experimental structure than the Coulombic approach, and to a reduction in the discrepancy between experimental and electrostatically optimized atomic models.

Crystallography↗

Study of the structural dynamics of the E coli 70S ribosome using real-space refinement.

Cryo-EM density maps showing the 70S ribosome of E. coli in two different functional states related by a ratchet-like motion were analyzed using real-space refinement. Comparison of the two resulting atomic models shows that the ribosome changes from a compact structure to a looser one, coupled with the rearrangement of many of the proteins. Furthermore, in contrast to the unchanged inter-subunit bridges formed wholly by RNA, the bridges involving proteins undergo large conformational changes following the ratchet-like motion, suggesting an important role of ribosomal proteins in facilitating the dynamics of translation.

Bacterial Proteins↗

Simulated-annealing real-space refinement as a tool in model building.

Methods have been developed that further automate the building of macromolecular structures into electron-density maps. The software supports molecular-dynamics real-space refinement of an atomic model to local regions of a map within the context of a popular molecular-modeling program, O [Jones et al. (1991), Acta Cryst. A47, 110-119]. It is implemented as a module to the CNS refinement package [Brünger et al. (1998), Acta Cryst. D54, 905-921], controlled by a graphical user interface and commands executed directly through the molecular-graphics package. The method is illustrated with examples of the building and rebuilding of protein and nucleic acid models in which laborious manual adjustments are avoided. The resulting models show improved convergence during subsequent reciprocal-space refinement. The novel feature of the RSRef2000 software is the combination of simulated-annealing optimization with local real-space refinement, allowing several local minima to be explored quickly and automatically within the context of interactive model building.

Arginine Kinase↗

Crystal structure of an RNA helix recognized by a zinc-finger protein: an 18-bp duplex at 1.6 A resolution.

The crystal structure of the 19-mer RNA, 5'-GAAUGCCUGCGAGCAUCCC-3' has been determined from X-ray diffraction data to 1.6 A resolution by the multiwavelength anomalous diffraction method from crystals containing a brominated uridine. In the crystal, this RNA forms an 18-mer self-complementary double helix with the 19th nucleotide flipped out of the helix. This helix contains most of the target stem recognized by the bacteriophage Mu Com protein (control of mom), which activates translation of an unusual DNA modification enzyme, Mom. The 19-mer duplex, which contains one A.C mismatch and one A.C/G.U tandem wobble pair, was shown to bind to the Com protein by native gel electrophoresis shift assay. Comparison of the geometries and base stacking properties between Watson-Crick base pairs and the mismatches in the crystal structure suggest that both hydrogen bonding and base stacking are important for stabilizing these mismatched base pairs, and that the unusual geometry adopted by the A.C mismatch may reveal a unique structural motif required for the function of Com.

Bacteriophage mu↗

An improved hydrogen bond potential: impact on medium resolution protein structures.

A new semi-empirical force field has been developed to describe hydrogen-bonding interactions with a directional component. The hydrogen bond potential supports two alternative target angles, motivated by the observation that carbonyl hydrogen bond acceptor angles have a bimodal distribution. It has been implemented as a module for a macromolecular refinement package to be combined with other force field terms in the stereochemically restrained refinement of macromolecules. The parameters for the hydrogen bond potential were optimized to best fit crystallographic data from a number of protein structures. Refinement of medium-resolution structures with this additional restraint leads to improved structure, reducing both the free R-factor and over-fitting. However, the improvement is seen only when stringent hydrogen bond selection criteria are used. These findings highlight common misconceptions about hydrogen bonding in proteins, and provide explanations for why the explicit hydrogen bonding terms of some popular force field sets are often best switched off.

Animals↗