CLUSTAL X is a new windows interface for the widely-used progressive multiple sequence alignment program CLUSTAL W. The new system is easy to use, providing an integrated system for performing multiple sequence and profile alignments and analysing the results. CLUSTAL X displays the sequence alignment in a window on the screen. A versatile sequence colouring scheme allows the user to highlight conserved features in the alignment. Pull-down menus provide all the options required for traditional multiple sequence and profile alignment. New features include: the ability to cut-and-paste sequences to change the order of the alignment, selection of a subset of the sequences to be realigned, and selection of a sub-range of the alignment to be realigned and inserted back into the original alignment. Alignment quality analysis can be performed and low-scoring segments or exceptional residues can be highlighted. Quality analysis and realignment of selected residue ranges provide the user with a powerful tool to improve and refine difficult alignments and to trap errors in input sequences. CLUSTAL X has been compiled on SUN Solaris, IRIX5.3 on Silicon Graphics, Digital UNIX on DECstations, Microsoft Windows (32 bit) for PCs, Linux ELF for x86 PCs, and Macintosh PowerMac.

/pdf/the-clustal-x-windows-interface-flexible-strategies-for-3qez0eyvqt.pdf

The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.

Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows model manipulations such as idealization, real-space refinement, manual rotation/translation, rigid-body fitting, ligand search, solvation, mutations, rotamers and Ramachandran idealization. Furthermore, tools are provided for model validation as well as interfaces to external programs for refinement, validation and graphics. The software is designed to be easy to learn for novice users, which is achieved by ensuring that tools for common tasks are `discoverable' through familiar user-interface elements (menus and toolbars) or by intuitive behaviour (mouse controls). Recent developments have focused on providing tools for expert users, with customisable key bindings, extensions and an extensive scripting interface. The software is under rapid development, but has already achieved very widespread use within the crystallographic community. The current state of the software is presented, with a description of the facilities available and of some of the underlying methods employed.

/pdf/features-and-development-of-coot-5al5bhwkg1.pdf

Features and development of Coot.

Comparative protein modeling is increasingly gaining interest since it is of great assistance during the rational design of mutagenesis experiments. The availability of this method, and the resulting models, has however been restricted by the availability of expensive computer hardware and software. To overcome these limitations, we have developed an environment for comparative protein modeling that consists of SWISS-MODEL, a server for automated comparative protein modeling and of the SWISS-PdbViewer, a sequence to structure workbench. The Swiss-PdbViewer not only acts as a client for SWISS-MODEL, but also provides a large selection of structure analysis and display tools. In addition, we provide the SWISS-MODEL Repository, a database containing more than 3500 automatically generated protein models. By making such tools freely available to the scientific community, we hope to increase the use of protein structures and models in the process of experiment design.

SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling.

J. Appl. Cryst.の発刊に際して

Functional characterization of a protein sequence is a common goal in biology, and is usually facilitated by having an accurate three-dimensional (3-D) structure of the studied protein. In the absence of an experimentally determined structure, comparative or homology modeling can sometimes provide a useful 3-D model for a protein that is related to at least one known protein structure. Comparative modeling predicts the 3-D structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications. Modeling lactate dehydrogenase from Trichomonas vaginalis (TvLDH) is described as an example. The download and installation of the MODELLER software is also described.

/pdf/comparative-protein-structure-modeling-using-modeller-262v4shee8.pdf

Comparative Protein Structure Modeling Using MODELLER

The structure of the ternary complex consisting of yeast phenylalanyl-transfer RNA (Phe-tRNA Phe ), Thermus aquaticus elongation factor Tu (EF-Tu), and the guanosine triphosphate (GTP) analog GDPNP was determined by x-ray crystallography at 2.7 angstrom resolution. The ternary complex participates in placing the amino acids in their correct order when messenger RNA is translated into a protein sequence on the ribosome. The EF-Tu-GDPNP component binds to one side of the acceptor helix of Phe-tRNA Phe involving all three domains of EF-Tu. Binding sites for the phenylalanylated CCA end and the phosphorylated 5′ end are located at domain interfaces, whereas the T stem interacts with the surface of the β-barrel domain 3. The binding involves many conserved residues in EF-Tu. The overall shape of the ternary complex is similar to that of the translocation factor, EF-G-GDP, and this suggests a novel mechanism involving “molecular mimicry” in the translational apparatus.

https://science.sciencemag.org/content/sci/270/5241/1464.full.pdf

Crystal Structure of the Ternary Complex of Phe-tRNAPhe, EF-Tu, and a GTP Analog

Retinol binding protein can be constructed from a small number of large substructures taken from three unrelated proteins. The known structures are treated as a knowledge base from which one extracts information to be used in molecular modelling when lacking true atomic resolution. This includes the interpretation of electron density maps and modelling homologous proteins. Models can be built into maps more accurately and more quickly. This requires the use of a skeleton representation for the electron density which improves the determination of the initial chain tracing. Fragment-matching can be used to bridge gaps for inserted residues when modelling homologous proteins.

Using known substructures in protein model building and crystallography

The crystal structure of elongation factor EF-Tu from Thermus aquaticus in the GTP conformation.

Structural details of the guanosine diphosphate binding to a modified form of elongation factor Tu from Escherichia coli, resulting from X-ray crystallographic studies, are reported. The protein elements that take part in the nucleotide binding are located in four loops connecting beta-strands with alpha-helices. These loops correspond to regions in primary sequences which show a high degree of homology when compared with other prokaryotic and eukaryotic elongation factors and initiation factor 2.

https://www.embopress.org/doi/pdf/10.1002/j.1460-2075.1985.tb03943.x

Structural details of the binding of guanosine diphosphate to elongation factor Tu from E. coli as studied by X-ray crystallography.

Legume–Rhizobium symbiosis is an example of selective cell recognition controlled by host/non-host determinants. Individual bacterial strains have a distinct host range enabling nodulation of a limited set of legume species and vice versa. We show here that expression of Lotus japonicus Nfr1 and Nfr5 Nod-factor receptor genes in Medicago truncatula and L. filicaulis, extends their host range to include bacterial strains, Mesorhizobium loti or DZL, normally infecting L. japonicus. As a result, the symbiotic program is induced, nodules develop and infection threads are formed. Using L. japonicus mutants and domain swaps between L. japonicus and L. filicaulis NFR1 and NFR5, we further demonstrate that LysM domains of the NFR1 and NFR5 receptors mediate perception of the bacterial Nod-factor signal and that recognition depends on the structure of the lipochitin–oligosaccharide Nod-factor. We show that a single amino-acid variation in the LysM2 domain of NFR5 changes recognition of the Nod-factor synthesized by the DZL strain and suggests a possible binding site for bacterial lipochitin–oligosaccharide signal molecules.

/pdf/lysm-domains-mediate-lipochitin-oligosaccharide-recognition-asheqmpojm.pdf

Søren Thirup

Papers

Crystal Structure of the Ternary Complex of Phe-tRNAPhe, EF-Tu, and a GTP Analog

Using known substructures in protein model building and crystallography

The crystal structure of elongation factor EF-Tu from Thermus aquaticus in the GTP conformation.

Structural details of the binding of guanosine diphosphate to elongation factor Tu from E. coli as studied by X-ray crystallography.

LysM domains mediate lipochitin–oligosaccharide recognition and Nfr genes extend the symbiotic host range