Genome Sequences of 11 Shiga Toxin-Producing Escherichia coli Strains.

Shiga toxin-producing Escherichia coli (STEC) strains are a common cause of both sporadic infection and outbreaks of enteric disease in humans. Here, we present draft genome sequences of 11 STEC strains of different serotypes (O145, O121, O26, O177, and O-type unknown), that have been isolated from patients with enteric disease of various degrees of severity, in the years 2001 to 2014 at St. Olavs Hospital in Trondheim, Norway.

EXAFS study of zinc coordination in bacitracin A.

Bacitracin is a dodecapeptide antibiotic produced by Bacillus sp. The antibacterial activity depends upon the peptide binding a divalent metal. Hitherto, the exact coordination of the cation has not been established. In particular the role played by the sulphur and nitrogen atoms of the thiazoline ring of bacitracin A has not been clear. Here the coordination of Zn2+ by bacitracin A has been studied using extended X-ray absorption fine structure. The experimental data are consistent with a model in which zinc is coordinated by one oxygen and three nitrogen atoms with the sulphur atom of the thiazoline ring not being directly involved in the zinc coordination.

Clustering of non-polar contacts in proteins.

MOTIVATION: Hydrophobic or non-polar contacts in proteins are important for protein folding, protein stability and protein-protein interactions. In particular, in the interior of a protein, in the hydrophobic core, a large number of such contacts are found. The residues involved in these contacts often form a tightly packed cluster of atoms. It is useful for the understanding of protein structure to be able to identify and analyse such clusters. RESULTS: Tools for hierarchical cluster analysis of non-polar contacts in proteins are described. These tools allow for efficient identification of clusters of non-polar interactions in proteins, both internal clusters and clusters involved in protein-protein contacts. The non-polar contacts are represented by a dendrogram structure, which is a simple approach for flexible identification of clusters by visual inspection. The tools are demonstrated on the structure of crambin, the structure of the complex between human growth hormone and the human growth hormone binding protein, and a pair of lipase/esterase structures. AVAILABILITY: On request from the author.

Detecting periodic patterns in biological sequences.

MOTIVATION: The search for repeated patterns in DNA and protein sequences is important in sequence analysis. The rapid increase in available sequences, in particular from large-scale genome sequencing projects, makes it relevant to develop sensitive automatic methods for the identification of repeats. RESULTS: A new method for finding periodic patterns in biological sequences is presented. The method is based on evolutionary distance and 'phase shifts' corresponding to insertions and deletions. A given sequence is aligned to itself in a certain sense, trying to minimize a distance to periodicity. Relationships between different such periodicity measures are discussed. An iterative algorithm is used, and the running time is nearly proportional to the sequence length. The alignment produces a periodic consensus pattern. A 'phase score' is used to indicate a statistical significance of the periodicity. Three examples using both DNA and protein sequences illustrate how the method can be used to find patterns. AVAILABILITY: On request from the authors. CONTACT: evindc@mat nu.no; finn.drablos@unimed.sintef.no

Lipases and esterases: a review of their sequences, structure and evolution.

This chapter aims to provide a brief review on the enzyme family of lipases and esterases. The sequences, 3D structures and pH dependent electrostatic signatures are presented and analyzed. Since the family comprises more than 100 sequences, we have tried to focus on the most interesting features from our perspective, which translates into finding similarities and differences between members of this family, in particular in and around the active sites, and to identify residues that are partially or totally conserved. Such residues we believe are either important for maintaining the structural scaf-fold of the protein or to maintain activity or specificity. The structure function relationship for these proteins is therefore of central interest. Can we uniquely identify a protein from this large family of sequences--and if so, what is the identifier? The protein family displays some highly complex features: many of the proteins are interfacially activated, i.e. they need to be in physical contact with the aggregated substrate. Access to the active site is blocked with either a loop fragment or an alpha-helical fragment in the absence of interfacial contact. Although the number of known, relevant protein 3D structures is growing steadily, we are nevertheless faced with a virtual explosion in the number of known or deduced amino acid sequences. It is therefore unrealistic to expect that all protein sequences within the foreseeable future will have their 3D structure determined by X-ray diffractional analysis or through other methods. When feasible the gene and/or the amino acid sequences will be analyzed from an evolutionary perspective. As the 3D folds are often remarkably similar, both among the triglyceride lipases as well as among the esterases, the functional diversities (e.g. specificity) must originate in differences in surface residue utilization, in particular of charged residues. The pH variations in the isopotential surfaces of some of the most interesting lipases are presented and a qualitative interpretation proposed. Finally we illustrate that NMR has potential for becoming an important tool in the study of lipases, esterases and their kinetics.

The blind watchmaker and rational protein engineering.

In the present review some scientific areas of key importance for protein engineering are discussed, such as problems involved in deducting protein sequence from DNA sequence (due to posttranscriptional editing, splicing and posttranslational modifications), modelling of protein structures by homology, NMR of large proteins (including probing the molecular surface with relaxation agents), simulation of protein structures by molecular dynamics and simulation of electrostatic effects in proteins (including pH-dependent effects). It is argued that all of these areas could be of key importance in most protein engineering projects, because they give access to increased and often unique information. In the last part of the review some potential areas for future applications of protein engineering approaches are discussed, such as non-conventional media, de novo design and nanotechnology.