Institut für Pharmazie und Lebensmittelchemie
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Inhibition of coronavirus (CoV)‐encoded papain‐like cysteine proteases (PL\(^{pro}\)) represents an attractive strategy to treat infections by these important human pathogens. Herein we report on structure‐activity relationships (SAR) of the noncovalent active‐site directed inhibitor (R)‐5‐amino‐2‐methyl‐N‐(1‐(naphthalen‐1‐yl)ethyl) benzamide (2 b), which is known to bind into the S3 and S4 pockets of the SARS‐CoV PL\(^{pro}\). Moreover, we report the discovery of isoindolines as a new class of potent PL\(^{pro}\) inhibitors. The studies also provide a deeper understanding of the binding modes of this inhibitor class. Importantly, the inhibitors were also confirmed to inhibit SARS‐CoV‐2 replication in cell culture suggesting that, due to the high structural similarities of the target proteases, inhibitors identified against SARS‐CoV PL\(^{pro}\) are valuable starting points for the development of new pan‐coronaviral inhibitors.
Cholinesterases are important biological targets responsible for regulation of cholinergic transmission, and their inhibitors are used for the treatment of Alzheimer’s disease. To design new cholinesterase inhibitors, of different structure-based design strategies was followed, including the modification of compounds from a previously developed library and a fragment-based design approach. This led to the selection of heterodimeric structures as potential inhibitors. Synthesis and biological evaluation of selected candidates confirmed that the designed compounds were acetylcholinesterase inhibitors with \(IC_{50}\) values in the mid-nanomolar to low micromolar range, and some of them were also butyrylcholinesterase inhibitors.
In this thesis, computational structure-based design approaches were employed to target the HIV-1 integrase and the macrophage infectivity potentiator (MIP) of Legionella pneumophila. The thesis yields valuable information about the mechanism of action of a known class of integrase inhibitors and a novel approach towards enzyme inhibition, which still is mainly unaddressed in current integrase research. For the MIP enzyme, two small-molecule MIP inhibitors were discovered. The computational studies of HIV-1 integrase have provided valuable information for IN inhibitor design. Docking experiments supported the hypothesis that the well-known diketo acid inhibitors enter the IN active site not as free ligands, but rather as metal complexes. These results help to reveal the mechanism of action of this important class of IN inhibitors.To give an impulse for the development of a novel class of inhibitors, a new strategy towards IN inhibition was introduced: An alternative binding site, the dimerization interface of an IN catalytic core domain monomer, was explored for inhibitor design. The lack of structural data of the free monomer was overcome by extensive MD studies. Snapshots derived from the MD simulation were used as protein input structures in a docking study with the inhibitory peptide YFLLKL to reveal its potential binding mode. The docking procedure showed that the peptidic ligand binds to a dimerization interface conformation which shows a Y-shaped binding site.. The next step was to address this protein conformation with small, non-peptidic molecules. The first strategy towards finding small-molecule interface binders was to create a pharmacophore model with hydrophobic features and shape constraints, aiming to find molecules with a good complementarity to the Y-shaped dimerization interface. Virtual screening yielded a total of 10 compounds, which all displayed good shape complementarity and favorable hydrophobic interactions. Unfortunately, none of the compounds showed a reproducible inhibitory activity in biological assays. Some doubts remain about the validity of the assay results: The use of BSA was critical, since it is not unlikely that BSA “intercepted” the hydrophobic candidate compounds. The first strategy towards finding small-molecule dimerization inhibitors was reconsidered: In the second approach, the satisfaction of hydrogen bonding residues at the dimerization interface, was of major interest. Two pharmacophore models were employed, which retrieved several hundred hit molecules. However, docking of these molecules showed that still many hydrogen bonding groups of the protein remained unaddressed by the ligands. Eventually, after visual inspection, only eight molecules were selected as candidate compounds for further testing (results pending). This small “yield” underlines the difficulties in finding interface binders: The IN dimerization interface is a peculiar target with frequently alternating basic, acidic, and hydrophobic residues. It is not a well-ordered binding site with continuous hydrophobic areas and distinct hydrogen bond donors / acceptors. Other protein-protein interfaces show such well-ordered binding sites. Accordingly, the peculiarity of the IN dimerization interface, in addition to the delicate task of disrupting protein-protein interactions at all, makes the development of IN dimerization inhibitors very challenging. For MIP, the studies revealed two experimentally validated MIP inhibitors, which significantly reduce MIP enzymatic activity. To our knowledge, no small-molecule MIP inhibitor has been reported in the literature so far. A detailed analysis of the available structural data of MIP and a comparison to the human PPIase counterpart, FKBP12, pointed out a conformational diversity among the MIP structures and a crucial difference between the two PPIases, which could be traced to mainly one residue (Tyr109). The detailed comparison of FKBP12 and MIP complex structures made it possible to give an explanation, why a ketoacyl-substituted pipecoline derivative most probably does not bind to MIP, but a sulfone-substituted pipecoline derivative does bind to MIP. Knowledge of Legionella MIP inhibitors could be transferred also to other organisms (e.g. trypanosoms), where homologous MIP proteins are also pathological factors.
Entwicklung, Validierung und Anwendung einer interpretierbaren und alignment-freien 4D-QSAR Methodik
(2006)
Die vorliegende Arbeit beschreibt die Entwicklung, Validierung und erfolgreiche Anwendung der interpretierbaren 4D-QSAR Methodik xMaP. Die neue Methode benötigt weder die Auswahl des vermuteten bioaktiven Konformers noch eine Überlagerung der Moleküle im Raum, sie ist also alignment-frei. xMaP ist invariant gegenüber Rotation, Translation und kodiert die Flexibilität der Moleküle. Dadurch wird der Einfluss durch den Benutzer praktisch ausgeschaltet.