The CCP4 suite: integrative software for macromolecular crystallography.

The Collaborative Computational Project No. 4 (CCP4) is a UK-led international collective with a mission to develop, test, distribute and promote software for macromolecular crystallography. The CCP4 suite is a multiplatform collection of programs brought together by familiar execution routines, a set of common libraries and graphical interfaces.

Crystal structures of the molecular class A β-lactamase TEM-171 and its complexes with tazobactam.

The resistance of bacteria to β-lactam antibiotics is primarily caused by the production of β-lactamases. Here, novel crystal structures of the native β-lactamase TEM-171 and two complexes with the widely used inhibitor tazobactam are presented, alongside complementary data from UV spectroscopy and fluorescence quenching. The six chemically identical β-lactamase molecules in the crystallographic asymmetric unit displayed different degrees of disorder.

The XBI BioLab for life science experiments at the European XFEL.

The science of X-ray free-electron lasers (XFELs) critically depends on the performance of the X-ray laser and on the quality of the samples placed into the X-ray beam. The stability of biological samples is limited and key biomolecular transformations occur on short timescales. Experiments in biology require a support laboratory in the immediate vicinity of the beamlines.

The accuracy of protein models automatically built into cryo-EM maps with ARP/wARP.

Recent developments in cryogenic electron microscopy (cryo-EM) have enabled structural studies of large macromolecular complexes at resolutions previously only attainable using macromolecular crystallography. Although a number of methods can already assist in de novo building of models into high-resolution cryo-EM maps, automated and reliable map interpretation remains a challenge. Presented here is a systematic study of the accuracy of models built into cryo-EM maps using ARP/wARP.

The use of local structural similarity of distant homologues for crystallographic model building from a molecular-replacement solution.

The performance of automated protein model building usually decreases with resolution, mainly owing to the lower information content of the experimental data. This calls for a more elaborate use of the available structural information about macromolecules. Here, a new method is presented that uses structural homologues to improve the quality of protein models automatically constructed using ARP/wARP.

Sequence assignment for low-resolution modelling of protein crystal structures.

The performance of automated model building in crystal structure determination usually decreases with the resolution of the experimental data, and may result in fragmented models and incorrect side-chain assignment. Presented here are new methods for machine-learning-based docking of main-chain fragments to the sequence and for their sequence-independent connection using a dedicated library of protein fragments. The combined use of these new methods noticeably increases sequence coverage and reduces fragmentation of the protein models automatically built with ARP/wARP.

West-Life: A Virtual Research Environment for structural biology.

The West-Life project (https://about.west-life.eu/) is a Horizon 2020 project funded by the European Commission to provide data processing and data management services for the international community of structural biologists, and in particular to support integrative experimental approaches within the field of structural biology.

Structural and functional insights into the unique CBS-CP12 fusion protein family in cyanobacteria.

Cyanobacteria are important photosynthetic organisms inhabiting a range of dynamic environments. This phylum is distinctive among photosynthetic organisms in containing genes encoding uncharacterized cystathionine β-synthase (CBS)-chloroplast protein (CP12) fusion proteins. These consist of two domains, each recognized as stand-alone photosynthetic regulators with different functions described in cyanobacteria (CP12) and plants (CP12 and CBSX).

A distance geometry-based description and validation of protein main-chain conformation.

Understanding the protein main-chain conformational space forms the basis for the modelling of protein structures and for the validation of models derived from structural biology techniques. Presented here is a novel idea for a three-dimensional distance geometry-based metric to account for the fine details of protein backbone conformations. The metrics are computed for dipeptide units, defined as blocks of C-O -C -O -C atoms, by obtaining the eigenvalues of their Euclidean distance matrices.

Estimation of the protein-ligand interaction energy for model building and validation.

Macromolecular X-ray crystallography is one of the main experimental techniques to visualize protein-ligand interactions. The high complexity of the ligand universe, however, has delayed the development of efficient methods for the automated identification, fitting and validation of ligands in their electron-density clusters. The identification and fitting are primarily based on the density itself and do not take into account the protein environment, which is a step that is only taken during the validation of the proposed binding mode.

Synthesis, SAR and molecular docking study of novel non-β-lactam inhibitors of TEM type β-lactamase.

The novel classes of acylated phenoxyanilide and thiourea compounds were investigated for their ability to inhibit TEM type β-lactamase enzyme. Two compounds 4g and 5c reveal the inhibition potency in micromolar range and show their action by non-covalent binding in the vicinity of the TEM-171 active site. The structure activity relationship around carbon chain length and different substituents in ortho- and para-positions of acylated phenoxyanilide as well as molecular modelling study has been performed.

Visual automated macromolecular model building.

Automated model-building software aims at the objective interpretation of crystallographic diffraction data by means of the construction or completion of macromolecular models. Automated methods have rapidly gained in popularity as they are easy to use and generate reproducible and consistent results. However, the process of model building has become increasingly hidden and the user is often left to decide on how to proceed further with little feedback on what has preceded the output of the built model.

Use of noncrystallographic symmetry for automated model building at medium to low resolution.

A novel method is presented for the automatic detection of noncrystallographic symmetry (NCS) in macromolecular crystal structure determination which does not require the derivation of molecular masks or the segmentation of density. It was found that throughout structure determination the NCS-related parts may be differently pronounced in the electron density. This often results in the modelling of molecular fragments of variable length and accuracy, especially during automated model-building procedures.

Aspartate aminotransferase: bridging carbohydrate and energy metabolism in Plasmodium falciparum.

In this mini-review we briefly examine and summarize evidence on the role of the plasmodial aspartate aminotransferase (AspAT) of the malarial parasite. Recent data have provided information on the products of the purine salvage pathway as well as the glycolytic and oxidative phosphorylation pathways, suggesting that the reaction catalyzed by AspAT is an essential step in all these biochemical processes. While the biological role of the oxidative phosphorylation cycle still remains to be demonstrated, the presence of a single protein that is functional in multiple pathways (i.

Fragmentation-tree density representation for crystallographic modelling of bound ligands.

The identification and modelling of ligands into macromolecular models is important for understanding molecule's function and for designing inhibitors to modulate its activities. We describe new algorithms for the automated building of ligands into electron density maps in crystal structure determination. Location of the ligand-binding site is achieved by matching numerical shape features describing the ligand to those of density clusters using a "fragmentation-tree" density representation.

Crystal structure of D-serine dehydratase from Escherichia coli.

D-Serine dehydratase from Escherichia coli is a member of the β-family (fold-type II) of the pyridoxal 5'-phosphate-dependent enzymes, catalyzing the conversion of D-serine to pyruvate and ammonia. The crystal structure of monomeric D-serine dehydratase has been solved to 1.97Å-resolution for an orthorhombic data set by molecular replacement.

On the routine use of soft X-rays in macromolecular crystallography. Part V. Molecular replacement and anomalous scattering.

Currently, about two thirds of all new macromolecular structures are determined by molecular replacement. In general the method works reliably, but it reaches its limits when the search model differs too much from the target structure in terms of coordinate deviations or completeness. Since anomalously scattering substructures are better conserved than the overall structure, these substructures and the corresponding anomalous intensity differences can be utilized to enhance the performance of molecular-replacement approaches.

Crystal structure of small protein crambin at 0.48 Å resolution.

With the development of highly brilliant and extremely intense synchrotron X-ray sources, extreme high-resolution limits for biological samples are now becoming attainable. Here, a study is presented that sets the record in crystallographic resolution for a biological macromolecule. The structure of the small protein crambin was determined to 0.

Quantitive evaluation of macromolecular crystallization experiments using 1,8-ANS fluorescence.

Modern X-ray structure analysis and advances in high-throughput robotics have allowed a significant increase in the number of conditions screened for a given sample volume. An efficient evaluation of the increased amount of crystallization trials in order to identify successful experiments is now urgently required. A novel approach is presented for the visualization of crystallization experiments using fluorescence from trace amounts of a nonspecific dye.

A moment invariant for evaluating the chirality of three-dimensional objects.

Chirality is an important feature of three-dimensional objects and a key concept in chemistry, biology and many other disciplines. However, it has been difficult to quantify, largely owing to computational complications. Here we present a general chirality measure, called the chiral invariant (CI), which is applicable to any three-dimensional object containing a large amount of data.

Internal motion in protein crystal structures.

The binding states of the substrates and the environment have significant influence on protein motion. We present the analysis of such motion derived from anisotropic atomic displacement parameters (ADPs) in a set of atomic resolution protein structures. Local structural motion caused by ligand binding as well as functional loops showing cooperative patterns of motion could be inferred.

On the combination of molecular replacement and single-wavelength anomalous diffraction phasing for automated structure determination.

A combination of molecular replacement and single-wavelength anomalous diffraction phasing has been incorporated into the automated structure-determination platform Auto-Rickshaw. The complete MRSAD procedure includes molecular replacement, model refinement, experimental phasing, phase improvement and automated model building. The improvement over the standard SAD or MR approaches is illustrated by ten test cases taken from the JCSG diffraction data-set database.

Interpretation of very low resolution X-ray electron-density maps using core objects.

A novel approach to obtaining structural information from macromolecular X-ray data extending to resolutions as low as 20 A is presented. Following a simple map-segmentation procedure, the approximate shapes of the domains forming the structure are identified. A pattern-recognition comparative analysis of these shapes and those derived from the structures of domains from the PDB results in candidate structural models that can be used for a fit into the density map.

Structure of native laccase from Trametes hirsuta at 1.8 A resolution.

This paper describes the structural analysis of the native form of laccase from Trametes hirsuta at 1.8 A resolution. This structure provides a basis for the elucidation of the mechanism of catalytic action of these ubiquitous proteins.