Structure of the dodecamer of the aminopeptidase APDkam598 from the archaeon Desulfurococcus kamchatkensis.

The crystal structure of the aminopeptidase APDkam589 from the thermophilic crenarchaeon Desulfurococcus kamchatkensis was determined at a resolution of 3.0 Å. In the crystal, the monomer of APDkam589 and its symmetry-related monomers are densely packed to form a 12-subunit complex. Single-particle electron-microscopy analysis confirms that APDkam589 is present as a compact dodecamer in solution. The APDkam589 molecule is built similarly to the molecules of the PhTET peptidases, which have the highest sequence identity to APDkam589 among known structures and were isolated from the more thermostable archaeon Pyrococcus horikoshii. A comparison of the interactions of the subunits in APDkam589 with those in PhTET1, PhTET2 and PhTET3 reveals that APDkam589 has a much lower total number of salt bridges, which correlates with the lower thermostability of APDkam589. The monomer of APDkam589 has six Trp residues, five of which are on the external surface of the dodecamer. A superposition of the structure of APDkam589 with those having a high sequence similarity to APDkam589 reveals that, although the positions of Trp45, Trp252 and Trp358 are not conserved in the sequences, the spatial locations of the Trp residues in these models are similar.

Expression, purification, crystallization and preliminary crystallographic analysis of a thermostable DNA ligase from the archaeon Thermococcus sibiricus.

DNA ligases join single-strand breaks in double-stranded DNA by catalyzing the formation of a phosphodiester bond between adjacent 5'-phosphate and 3'-hydroxyl termini. Their function is essential to maintain the integrity of the genome in DNA replication, recombination and repair. A recombinant ATP-dependent DNA ligase from the hyperthermophilic anaerobic archaeon Thermococcus sibiricus was expressed in Escherichia coli and purified. Crystals were grown by vapour diffusion using the hanging-drop method with 17%(w/v) PEG 4000 and 8.5%(v/v) 2-propanol as precipitants. A diffraction experiment was performed with a single crystal, which diffracted X-rays to 3.0 Å resolution. The crystal belonged to space group P2(1)2(1)2(1), with unit-cell parameters a = 58.590, b = 87.540, c = 126.300 Å.

Low-resolution ab initio phasing: problems and advances.

If only native amplitudes are used for structure determination, then additional 'theoretical' information is necessary to determine their phases. For use in a phasing procedure, this information can be formulated as a selection criterion (figure of merit) which assigns a reliability weight to every trial phase set and distinguishes the closest ones to the true phase set. Different types of additional information may be tested as a selection criterion: electron-density histograms, connectivity properties, statistical likelihood, atomicity etc. A common feature of such criteria is that they do not unambiguously judge the phase quality at low resolution. Nevertheless, the selection of the phase sets with best criterion values increases the ratio of good phase sets in the ensemble considered. An approximate solution of the phase problem may then be found by averaging the selected phase sets. Cluster analysis of the selected phase sets and averaging within clusters allow further improvement of this solution.

Ab initio low-resolution phasing in crystallography of macromolecules by maximization of likelihood.

Statistical likelihood criteria were tested to select the true (or closest to true) structure-factor phases from an ensemble of phase sets. To define the criterion value for a given trial phase set, the trial 'molecular region' is defined as a region consisting of the points with the highest values in the Fourier synthesis calculated with the observed magnitudes and the trial set of phases. The structure studied is considered as composed of atoms randomly placed inside the trial molecular region. The figure of merit is defined as the likelihood corresponding to this hypothesis, i.e. the probability that the structure-factor magnitudes calculated (from the positions of atoms randomly placed into the trial region) are equal to the observed magnitudes. The concept of generalized likelihood is introduced to make the calculations more straightforward. The tests performed for known structures with the use of experimentally observed magnitudes show that in general it is impossible to unambiguously determine the best phases among a 'population' of trial phase sets. Nevertheless, the random generation of a great number of phase sets and the selection of phase sets with high likelihood values give a collection of variants with a higher concentration of 'good' phase sets than those found in the original population. Averaging the selected phase sets gives a starting solution of the low-resolution phase problem.

On the ab initio solution of the phase problem or macromolecules at very low resolution. II. Generalized likelihood based approach to cluster discrimination.

The multisolution strategies for direct phasing at very low resolution, such as the few atoms model technique, result in a number of alternative phase sets, each of them arising from a cluster of closely related models. Use of a Monte-Carlo type computer procedure is suggested to choose between the possible phase sets. It consists of generating a large number of pseudo-atom models inside the mask defined by a trial phase set and the use of histograms of magnitude correlation to evaluate the masks. It is shown that the procedure may be considered as a generalization of the statistical maximum-likelihood principle and may be used as a powerful supplementary tool in the likelihood-based approaches to the phase problem solution.

On the ab initio solution of the phase problem for macromolecules at very low resolution: the few atoms model method.

A method is proposed for the solution of the phase problem at very low resolution for macromolecules. It generates randomly a very large number of models, each consisting of a few (two to ten) pseudo-atoms. The corresponding amplitudes are used for selecting a subset of 'best' models by choosing those with the highest correlation with experimental values. The phases calculated from these 'best' models are analysed by a clusterization procedure leading to a few possible solutions, from which the correct one can be recognized by simple additional criteria. This method has been successfully applied to the neutron diffraction data of the AspRS-tRNA(Asp) complex at 50 A resolution and to data calculated from a model ribosome crystal at 60 A resolution.