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Andreas Kreusch

Publications and source records attributed to Andreas Kreusch.

54 records · Page 3Linked to original sources
PubMed2004

Identification of novel potent bicyclic peptide deformylase inhibitors.

Screening of our compound collection using Staphylococcus aureus Ni-Peptide deformylase (PDF) afforded a very potent PDF inhibitor with an IC(50) in the low nanomolar range but with poor antibacterial activity (MIC). Three-dimensional structural information obtained from Pseudomonas aeruginosa Ni-PDF complexed with the inhibitor suggested the synthesis of a variety of analogues that would maintain high binding affinity while attempting to improve antibacterial activity. Many of the compounds synthesized proved to be excellent PDF-Ni inhibitors and some showed increased antibacterial activity in selected strains.

Amidohydrolases↗
PubMed2003

Structure analysis of peptide deformylases from Streptococcus pneumoniae, Staphylococcus aureus, Thermotoga maritima and Pseudomonas aeruginosa: snapshots of the oxygen sensitivity of peptide deformylase.

Peptide deformylase (PDF) has received considerable attention during the last few years as a potential target for a new type of antibiotics. It is an essential enzyme in eubacteria for the removal of the formyl group from the N terminus of the nascent polypeptide chain. We have solved the X-ray structures of four members of this enzyme family, two from the Gram-positive pathogens Streptococcus pneumoniae and Staphylococcus aureus, and two from the Gram-negative bacteria Thermotoga maritima and Pseudomonas aeruginosa. Combined with the known structures from the Escherichia coli enzyme and the recently solved structure of the eukaryotic deformylase from Plasmodium falciparum, a complete picture of the peptide deformylase structure and function relationship is emerging. This understanding could help guide a more rational design of inhibitors. A structure-based comparison between PDFs reveals some conserved differences between type I and type II enzymes. Moreover, our structures provide insights into the known instability of PDF caused by oxidation of the metal-ligating cysteine residue.

Amidohydrolases↗
PubMed2003

Shotgun crystallization strategy for structural genomics: an optimized two-tiered crystallization screen against the Thermotoga maritima proteome.

As the field of structural genomics continues to grow and new technologies are developed, novel strategies are needed to efficiently crystallize large numbers of protein targets, thus increasing output, not just throughput [Chayen & Saridakis (2002). Acta Cryst. D58, 921-927]. One strategy, developed for the high-throughput structure determination of the Thermotoga maritima proteome, is to quickly determine which proteins have a propensity for crystal formation followed by focused SeMet-incorporated protein crystallization attempts. This experimental effort has resulted in over 320 000 individual crystallization experiments. As such, it has provided one of the most extensive systematic data sets of commonly used crystallization conditions against a wide range of proteins to date. Analysis of this data shows that many of the original screening conditions are redundant, as all of the T. maritima proteins that crystallize readily could be identified using just 23% of the original conditions. It also shows that proteins that contain selenomethionine and are more extensively purified often crystallize in distinctly different conditions from those of their native less pure counterparts. Most importantly, it shows that the two-tiered strategy employed here is extremely successful for predicting which proteins will readily crystallize, as greater than 99% of the proteins identified as having a propensity to crystallize under non-optimal native conditions did so again as selenomethionine derivatives during the focused crystallization trials. This crystallization strategy can be adopted for both large-scale genomics programs and individual protein studies with multiple constructs and has the potential to significantly accelerate future crystallographic efforts.

Bacteria↗
PubMed2003

Crystal structure of the human neuropilin-1 b1 domain.

Neuropilin-1 (Npn-1) is a type I cell surface receptor involved in a broad range of developmental processes, including axon guidance, angiogenesis, and heterophilic cell adhesion. We have determined the crystal structure of the human Npn-1 b1 domain to 1.9 A. The overall structure resembles coagulation factor V and VIII (F5/8) C1 and C2 domains, exhibiting a distorted jellyroll fold. Details of the structure provide insight to b1 domain regions responsible for ligand binding and facilitate rationalization of existing biochemical binding data. A polar cleft formed by adjacent loops at one end of the molecule in conjunction with flanking electronegative surfaces may represent the binding site for the positively charged tails of semaphorins and VEGF(165). The nature of the cell adhesion binding site of the b1 domain can be visualized in context of the structure.

Amino Acid Sequence↗
PubMed2002

Computational analysis of crystallization trials.

A system for the automatic categorization of the results of crystallization experiments generated by robotic screening is presented. Images from robotically generated crystallization screens are taken at preset time intervals and analyzed by the computer program Crystal Experiment Evaluation Program (CEEP). This program attempts to automatically categorize the individual crystal experiments into a number of simple classes ranging from clear drop to mountable crystal. The algorithm first selects features from the images via edge detection and texture analysis. Classification is achieved via a self-organizing neural net generated from a set of hand-classified images used as a training set. New images are then classified according to this neural net. It is demonstrated that incorporation of time-series information may enhance the accuracy of classification. Preliminary results from the screening of the proteome of Thermotoga maritima are presented showing the utility of the system.

Algorithms↗
PubMed2002

Structural genomics of the Thermotoga maritima proteome implemented in a high-throughput structure determination pipeline.

Structural genomics is emerging as a principal approach to define protein structure-function relationships. To apply this approach on a genomic scale, novel methods and technologies must be developed to determine large numbers of structures. We describe the design and implementation of a high-throughput structural genomics pipeline and its application to the proteome of the thermophilic bacterium Thermotoga maritima. By using this pipeline, we successfully cloned and attempted expression of 1,376 of the predicted 1,877 genes (73%) and have identified crystallization conditions for 432 proteins, comprising 23% of the T. maritima proteome. Representative structures from TM0423 glycerol dehydrogenase and TM0449 thymidylate synthase-complementing protein are presented as examples of final outputs from the pipeline.

Cloning, Molecular↗