Publications by authors named "Gerhard Klebe"

We have designed the nitrophenylfurylacryl-substituted benzophenone 4f as a non-thiol farnesyltransferase inhibitor utilizing a novel aryl binding site of farnesyltransferase. Variation of the 2-acylamino substituent at the benzophenone core structure of our initial lead 4f yielded several non-thiol farnesyltransferase inhibitors with improved activity. These compounds display activity in the low nanomolar range.

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Eubacterial tRNA-guanine transglycosylase (TGT) is involved in the hypermodification of cognate tRNAs, leading to the exchange of G34 by preQ1 at the wobble position in the anticodon loop. Mutation of the tgt gene in Shigella flexneri results in a significant loss of pathogenicity of the bacterium due to inefficient translation of a virulence protein mRNA. Herein, we describe the discovery of a ligand with an unexpected binding mode.

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The concept of structure-based drug design is based upon an in-depth understanding of the principles of molecular recognition. Despite our lack of a thorough comprehension of these principles, the wealth of protein structures available opens up unprecedented possibilities for new insights from the analysis of these data. Unravelling universal rules of molecular recognition is certainly one of the most appealing goals.

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Knowledge discovery from the exponentially growing body of structurally characterised protein-ligand complexes as a source of information in structure-based drug design is a major challenge in contemporary drug research. Given the need for powerful data retrieval, integration and analysis tools, Relibase was developed as a database system particularly designed to handle protein-ligand related problems and tasks. Here, we describe the design and functionality of the Relibase core database system.

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In order to investigate issues of selectivity and specificity in protein-ligand interactions, we have undertaken the reconstruction of the binding pocket of human factor Xa in the structurally related rat trypsin by site-directed mutagenesis. Three sequential regions (the "99"-, the "175"- and the "190"- loops) were selected as representing the major structural differences between the ligand binding sites of the two enzymes. Wild-type rat trypsin and variants X99rT and X(99/175/190)rT were expressed in yeast, and analysed for their interaction with factor Xa and trypsin inhibitors.

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New techniques in drug discovery are essential for the fast and efficient development of novel innovative drugs to deal with the challenges of the future. Structure determinations of various members of serine proteinases have provided a basis for computer-based drug design within this class of enzymes. In many proteins of interest, however, this course is blocked through a lack of suitable crystals.

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A new method has been developed to detect functional relationships among proteins independent of a given sequence or fold homology. It is based on the idea that protein function is intimately related to the recognition and subsequent response to the binding of a substrate or an endogenous ligand in a well-characterized binding pocket. Thus, recognition of similar ligands, supposedly linked to similar function, requires conserved recognition features exposed in terms of common physicochemical interaction properties via the functional groups of the residues flanking a particular binding cavity.

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Purpose: Mucosal delivery of vaccine-loaded nanoparticles (NP) is an attractive proposition from an immunologic perspective. Although numerous NP preparation methods are known, sufficient antigen loading of NP remains a challenge. The aim of this study was to evaluate adsorptive loading of NP with a negatively charged surface structure using tetanus toxoid (TT) as a model vaccine.

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The development of a new tailor-made scoring function to predict binding affinities of protein-ligand complexes is described. Knowledge-based pair-potentials are specifically adapted to a particular protein by considering additional ligand-based information. The formalism applied to derive the new function is similar to the well-known CoMFA approach, however, the fields used in the approach originate from the protein environment (and not from the aligned ligands as in CoMFA, thus, a "reverse" CoMFA (= AFMoC) named Adaptation of Fields for Molecular Comparison is performed).

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The influence of a xenobiotic compound on an organism is usually summarized by the expression biological activity. If a controlled, therapeutically relevant, and regulatory action is observed the compound has potential as a drug, otherwise its toxicity on the biological system is of interest. However, what do we understand by the biological activity? In principle, the overall effect on an organism has to be considered.

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Virtual screening of compound libraries is an alternative and complementary approach to high-throughput screening in the lead discovery process. A new strategy is described to search for possible leads of human carbonic anhydrase II, applying a protocol of several consecutive hierarchical filters involving a preselection based on functional group requirements and fast pharmacophore matching. A suitable pharmacophore is derived by a sophisticated "hot spot" analysis of the binding site to detect regions favorable for protein-ligand interactions.

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X-ray crystal structures of the adducts of human carbonic anhydrase (hCA) isozyme II with derivatives incorporating a sulfamide or sulfamic acid moiety are reported. The absence of a C-SO(2)NH(2) bond in the first type of compound can be exploited for the design of more potent and selective CA inhibitors. This study also explains why sulfate is a several-orders-of-magnitude weaker CA inhibitor compared to derivatives incorporating sulfonamide/sulfamide moieties.

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The number of protein structures is currently increasing at an impressive rate. The growing wealth of data calls for methods to efficiently exploit structural information for medicinal and pharmaceutical purposes. Given the three-dimensional (3D) structure of a validated protein target, the identification of functionally relevant binding sites and the analysis ('mapping') of these sites with respect to molecular recognition properties are important initial tasks in structure-based drug design.

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A new application of DrugScore is reported in which the knowledge-based pair potentials serve as objective function in docking optimizations. The Lamarckian genetic algorithm of AutoDock is used to search for favorable ligand binding modes guided by DrugScore grids as representations of the protein binding site. The approach is found to be successful in many cases where DrugScore-based re-ranking of already docked ligand conformations does not yield satisfactory results.

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Knowledge-based descriptors extracted from composite crystal-field environments in crystal data have been developed for the description of interaction properties of small molecules. Using SuperStar seven diverse probe atoms have been selected to reflect the most important physicochemical properties. The general application of these descriptors in comparative molecular field analysis has been investigated using a dataset of thermolysin inhibitors, and a comparison to the GRID program has been performed.

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We have solved the 2.5-A crystal structure of 1-deoxy-D-xylulose-5-phosphate reductoisomerase, an enzyme involved in the mevalonate-independent 2-C-methyl-D-erythritol-4-phosphate pathway of isoprenoid biosynthesis. The structure reveals that the enzyme is present as a homodimer.

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Protein function is almost invariably linked with the specific recognition of substrates or endogenous ligands in particular binding pockets; proteins of related function should, therefore, share comparable recognition pockets. On the basis of this idea a new computer method has been developed to detect functional relationships among proteins, independent of a particular sequence or fold homology, in which the functionality of the residues is translated into simple physicochemical descriptors. By this method novel ligands in drug design can be suggested.

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