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Bernd Kramer

Publications and source records attributed to Bernd Kramer.

8 recordsLinked to original sources

Structure-function relation of efomycines, a family of small-molecule inhibitors of selectin functions.

Selectin-mediated leukocyte adhesion to endothelia, the crucial first step initiating the pathogenic cascade of inflammation, is an attractive target for specific therapies. The small-molecule macrolide, efomycine M, inhibits selectin-mediated leukocyte adhesion in vitro and in vivo, and effectively alleviates inflammatory disorders in vivo. To define the molecular basis of the therapeutically relevant antiadhesive properties of efomycines, several new species of this family were purified and/or synthesized. Efomycines E and G were isolated from Steptomyces BS1261. Efomycine O was synthesized by Lewis acid-catalyzed acetalization and efomycine M was generated by base-catalyzed deglycosylation. Efomycine S resulted from ester cleavage of the macrolide ring system, and efomycine T represents the peracetylated form of efomycine M. When the functional activity of efomycines on adhesion of leukocytes to vascular endothelium was studied, some remarkable differences between the compounds became apparent, inasmuch as efomycines E, G, M, and O significantly inhibited adhesion of both human and porcine leukocytes to the vascular endothelium, whereas efomycines S and T did not show any biological activity. A novel docking engine (ProPose), generating an improved, fully configurable protein-ligand interaction model, demonstrated that biological activities of efomycines can be predicted in silico, thus highlighting the utility of such combinatorial approaches.

Animals↗

Computer-aided design of agents that inhibit the cep quorum-sensing system of Burkholderia cenocepacia.

Recent research has provided evidence that interference with bacterial cell-to-cell signaling is a promising strategy for the development of novel antimicrobial agents. Here we report on the computer-aided design of novel compounds that specifically inhibit an N-acyl-homoserine lactone-dependent communication system that is widespread among members of the genus Burkholderia. This genus comprises more than 30 species, many of which are important pathogens of animals and humans. Over the past few years, several Burkholderia species, most notably Burkholderia cenocepacia, have emerged as important opportunistic pathogens causing severe pulmonary deterioration in persons with cystic fibrosis. As efficient treatment of Burkholderia infections is hampered by the inherent resistance of the organisms to a large range of antibiotics, novel strategies for battling these pathogens need to be developed. Here we show that compounds targeting the B. cenocepacia signaling system efficiently inhibit the expression of virulence factors and attenuate the pathogenicity of the organism.

Anti-Bacterial Agents↗

Rational design of anticytoadherence inhibitors for Plasmodium falciparum based on the crystal structure of human intercellular adhesion molecule 1.

Adhesion of Plasmodium falciparum-infected erythrocytes (IE) to host endothelium has been associated with pathology in malaria. Although the interaction with endothelial cells can be complex due to the relatively large number of host receptors available for binding, specific proteins have been identified that are more commonly used than others. For example, binding to intercellular adhesion molecule 1 (ICAM 1) is found frequently in parasites from pediatric cases of malaria. The binding site for P. falciparum-infected erythrocytes on ICAM 1 has been mapped in some detail and is distinct from the site for lymphocyte function-associated antigen 1 (LFA-1). Part of the ICAM 1 binding site for P. falciparum-infected erythrocytes (the DE loop) was used to screen a library of compounds based on its structure (derived from the crystal structure of human ICAM 1). This resulted in the identification of 36 structural mimeotopes as potential competitive inhibitors of binding. One of these compounds, (+)-epigalloyl-catechin-gallate [(+)-EGCG], was found to inhibit IE adhesion to ICAM 1 in a dose-dependent manner with two variant ICAM 1-binding parasite lines, providing the first example of a potential mimeotope-based anticytoadherence inhibitor for Plasmodium falciparum.

Animals↗

4SCan/vADME: intelligent library screening as a shortcut from hits to lead compounds.

Managing to solve the first step in drug discovery - the hit finding - can be a quite elaborate task, but it is only the initial step to the final goal; hit-to-lead optimisation still lies ahead and consumes even more time and resources. The solution is rather simple, that is, to take only the most promising compounds into account; but who is going to decide which ones are the most promising among a list of tens of millions of compounds in a virtual combinatorial library? 4SCan/vADME helps by bridging the gap between virtual (combinatorial) libraries designed by chemists and the in silico methods, docking and alignment, for screening databases. After choosing a random starting set, the implemented learning and prediction algorithm iteratively considers only combinations of fragments that have shown to result in more suitable interactions by the chosen method. ADME properties of the final list are then calculated via several in silico methods, resulting in a combined evaluation of the individual compound's target-specific, as well as ADME, properties. Based on the latter list of evaluated compounds, medicinal chemists can then decide which compounds might be the best ones to synthesise first and to serve as possible lead candidates. Following a brief introduction to virtual high-throughput screening techniques, the 4SCan/vADME method is outlined and discussed in this paper, using an example coming out of the 4SC pipeline.

Aryl Hydrocarbon Hydroxylases↗

Inhibitors of Trypanosoma cruzi trypanothione reductase revealed by virtual screening and parallel synthesis.

In an approach to discover new inhibitors of trypanothione reductase from Trypanosoma cruzi, the causative agent of Chagas' disease, a virtual high-throughput screening was performed. Two structurally new types of inhibitors emerged, the antimicrobial chlorhexidine {1,1'-hexamethylenebis[5-(4-chlorophenyl)biguanide]}, a linear competitive inhibitor (K(i) = 2 +/- 1 microM), and a piperidine derivative acting as mixed inhibitor (K(i) = 6.2 +/- 2 microM and K(i)' = 8.5 +/- 2 microM). Neither compound interferes with human glutathione reductase. Based on chlorhexidine, different series of compounds were synthesized and studied as inhibitors of T. cruzi trypanothione reductase. Most efficient derivatives were three bis(amidines) showing mixed type inhibition with K(i,slope) and K(i,int) values of 2-5 microM and 16-47 microM, respectively. Although these compounds did not exert an improved inhibitory potency compared to chlorhexidine, the change from competitive to mixed-type inhibition is advantageous, since substrate accumulation does not overcome inhibition. Remarkably, all three derivatives carried two copies of an identical 2-methoxy-4-methyl-1-(phenylmethoxy)benzene substituent.

Amidines↗

ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

Virtual high-throughput screening of molecular databases and in particular high-throughput protein-ligand docking are both common methodologies that identify and enrich hits in the early stages of the drug design process. Current protein-ligand docking algorithms often implement a program-specific model for protein-ligand interaction geometries. However, in order to create a platform for arbitrary queries in molecular databases, a new program is desirable that allows more manual control of the modeling of molecular interactions. For that reason, ProPose, an advanced incremental construction docking engine, is presented here that implements a fast and fully configurable molecular interaction and scoring model. This program uses user-defined, discrete, pharmacophore-like representations of molecular interactions that are transformed on-the-fly into a continuous potential energy surface, allowing for the incorporation of target specific interaction mechanisms into docking protocols in a straightforward manner. A torsion angle library, based on semi-empirical quantum chemistry calculations, is used to provide minimum energy torsion angles for the incremental construction algorithm. Docking results of a diverse set of protein-ligand complexes from the Protein Data Bank demonstrate the feasibility of this new approach. As a result, the seamless integration of pharmacophore-like interaction types into the docking and scoring scheme implemented in ProPose opens new opportunities for efficient, receptor-specific screening protocols. [figure: see text]. ProPose--a fully configurable protein-ligand docking program--transforms pharmacophores into a smooth potential energy surface.

Binding Sites↗

Sulfonyl-phenyl-ureido benzamidines; a novel structural class of potent antimalarial agents.

The high throughput in silico screening of a virtual library into the structure of the P. falciparum lactate dehydrogenase (LDH) with the 4SCan technology yielded a series of biphenyl urea compounds. These were chemically optimized to a new structural class of potent antimalarial agents. The compounds did not inhibit plasmodium LDH enough to fully explain their potency. Therefore we conclude that an unknown mode of action may be the cause of the antimalarial activity.

Animals↗