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The asymmetric unit of the title compound, C14H8Cl4N2OS·0.5H2O, contains two independent molecules with different conformations with respect to the aromatic ring planes, and one water molecule. The bond lengths and angles are typical of thiourea compounds of this class. The molecule exists in the solid state in its thione form with typical thiourea C-S and C-O bonds lengths, as well as shortened C-N bonds. The dihedral angles between the two aromatic planes are 66.93 (8) and 60.44 (9)° in the two independent molecules. An intramolecular N-H...O hydrogen bond stabilizes the molecular conformation and the crystal packing is characterized by N-H...O, O-H...S and O-H...Cl hydrogen bonds. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.004 Å; R factor = 0.045; wR factor = 0.125; data-to-parameter ratio = 16.8.
The crystal structure of the title compound, C14H8Cl4N2OS, is composed of discrete molecules with bond lengths and angles quite typical for thiourea compounds of this class. The plane containing the central SONNCC atom set subtends a dihedral angle of 31.47 (3)° with the benzene ring. An intramolecular N-H...O hydrogen bond stabilizes the molecular conformation and the molecules form centrosymmetric dimers via intermolecular N-H...S hydrogen bonds. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.032; wR factor = 0.087; data-to-parameter ratio = 17.9.
The two aromatic rings in the title compound, C15H12Cl2N2O2S, enclose a dihedral angle of 37.49 (6)°. The molecule exists in the solid state in its thione form with typical thiourea C-S and C-O bonds lengths, as well as shortened C-N bonds. An intramolecular N-H...O hydrogen bond stabilizes the molecular conformation. In the crystal, molecules are connected by N-H...O and N-H...S hydrogen bonds, forming chains running along the alpha axis. Key indicators: single-crystal X-ray study; T = 173 K; mean σ (C–C) = 0.002 Å; disorder in main residue; R factor = 0.035; wR factor = 0.087; data-to-parameter ratio = 18.9.
The title compound, Cs2Mg(H2P2O7)2·2H2O, is isostructural with the related known isoformular phosphates. The crystal framework consists of corner-sharing MgO6 and H2P2O7 polyhedra, leading to tunnels parallel to the b-axis direction in which Cs+ ions are located. The H2P2O7 unit shows a bent eclipsed conformation. The Mg2+ ion lies on an inversion center. The water molecules form hydrogen bonds to O atoms of two different dihydrogenphosphate ions, which are further hydrogen bonded to symmetry-equivalent dihydrogenphosphate ions. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(P–O) = 0.006 Å; R factor = 0.048; wR factor = 0.125; data-to-parameter ratio = 12.3.
The crystal structure of the title compound, C15H17BrN2O4S, is stabilized by intermolecular N-H...O hydrogen bonds which link the molecules into centrosymmetric dimers. The dihedral angle subtended by the 4-bromophenyl group with the mean plane passing through the hydantoin unit is 83.29 (5)°. The cyclohexyl group adopts an ideal chair conformation with the methyl group in an equatorial position. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.003 Å; R factor = 0.030; wR factor = 0.070; data-to-parameter ratio = 16.8.
The five-membered ring of the title compound, C10H14NO, is almost planar [mean deviation from best plane = 0.006 (1) Å]. The N-O bond is in the plane of the five-membered ring. The molecule is positioned about a pseudo-mirror plane at y = 0.375. In the crystal, molecules are connected by intermolecular C-H...O contacts into layers parallel to (010). Key indicators: single-crystal X-ray study; T = 167 K; mean σ(C–C) = 0.002 Å; R factor = 0.062; wR factor = 0.157; data-to-parameter ratio = 27.3.
In the title compound, C15H17ClN2O4S, the atoms in the hydantoin ring are coplanar (r.m.s. deviation = 0.006 Å). The crystal structure is stabilized by intermolecular N-H...O hydrogen bonds which link the molecules into centrosymmetric dimers. The dihedral angle subtended by the 4-chlorophenyl group with the plane passing through the hydantoin unit is 82.98 (4)°. The cyclohexyl ring adopts an ideal chair conformation. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.030; wR factor = 0.081; data-to-parameter ratio = 15.0.
In the title Grignard reagent, [MgBr(C12H9)(C5H10O)2], the Mg centre adopts a distorted tetrahedral MgCO2Br arrangement. The dihedral angle between the two aromatic rings of the biphenyl residue is 44.00 (14)°. Each molecule incorporates one R- and one S-configured 2-methyltetrahydrofuran molecule. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.007 Å; R factor = 0.045; wR factor = 0.108; data-to-parameter ratio = 17.4.
The title compound, C17H18N2O6, crystallizes with two molecules in the asymmetric unit. In both molecules, one of the C-C bonds of the pentamethylene chain connecting the two aromatic rings is in a trans conformation and another displays a gauche conformation. The aromatic rings within each molecule are nearly coplanar [dihedral angles = 3.36 (9) and 4.50 (9)°] and the nitro groups are twisted slightly out of the planes of their attached rings [dihedral angles = 8.16 (3)/6.6 (2) and 4.9 (4)/3.8 (3)°]. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.003 Å; R factor = 0.040; wR factor = 0.101; data-to-parameter ratio = 13.5.
In the title compound, C16H16BrNO4, the dihedral between the planes of the aromatic rings is 7.74 (18)°. The amide group is tilted with respect to the bromo- and methoxy-substituted aromatic rings by 36.3 (8) and 35.2 (8)°, respectively. The meta-methoxy groups are essentially in-plane with the aromatic ring [dihedral angles CH3-O-C-C = -4.6 (4) and -2.5 (4)°]. The para-methoxy group is markedly displaced from the ring plane [dihedral angle CH3-O-C-C = -72.5 (4)°]. The crystal packing is stabilized by N-H...O hydrogen bonds linking the molecules into chains running along the b axis. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.004 Å; R factor = 0.033; wR factor = 0.076; data-to-parameter ratio = 14.6.
Adamantane-1-thioamide
(2009)
The title compound, C11H17NS, is an important intermediate for the synthesis of biologically active adamantlythiazolo-oxadiazoles. The adamantyl residue is disordered about a twofold rotation axis over two sites with site-occupation factors of 0.817 (3) and 0.183 (3). The crystal structure is stabilized by intermolecular N-H...S hydrogen-bonding interactions. Key indicators: single-crystal X-ray study; T = 173 K; mean &963;(C–C) = 0.002 Å; disorder in main residue; R factor = 0.038; wR factor = 0.103; data-to-parameter ratio = 12.3.
The title compound, C21H16N2O2, was derived from 1-(2-hydroxyphenyl)-3-(-methoxyphenyl)propane-1,3-dione. The molecular structure of the title compound is stabilized by an intramolecular O-H...N hydrogen bond. The dihedral angle between the hydroxyphenyl ring involved in this intramolecular hydrogen bond and the pyrazole ring is significantly smaller [10.07 (6)°] than the dihedral angle between the pyrazole and the other hydroxyphenyl ring [36.64 (5)°]. The benzene ring makes a dihedral angle of 54.95 (3)° with the pyrazole ring. The crystal packing is stabilized by O-H...O and O-H...N hydrogen bonds. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.039; wR factor = 0.101; data-to-parameter ratio = 16.2.
The title compound, C22H18N2O2, was derived from 1-(2-hydroxyphenyl)-3-(4-methoxyphenyl)propane-1,3-dione. The central pyrazole ring forms dihedral angles of 16.83 (5), 48.97 (4) and 51.68 (4)°, respectively, with the methoxyphenyl, phenyl and hydroxyphenyl rings. The crystal packing is stabilized by O-H...N hydrogen bonding. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.037; wR factor = 0.096; data-to-parameter ratio = 17.0.
The title compound, C25H22O5, was obtained by a dehydrogenative carbonylation reaction. It crystallizes with one half-molecule in the asymmetric unit. The molecules have crystallographic C2 symmetry and the two atoms of the carbonyl group are located on the rotation axis. The methoxy groups are coplanar with the benzene ring to which they are attached [C-C-O-C = 1.0 (6)°]. The two furan rings are inclined at 17.3 (3)° with respect to each other and the dihedral angle between the furan ring and the benzene ring is 75.83 (12)°. The crystal structure is stabilized by C-H...O hydrogen bonds. Key indicators: single-crystal X-ray study; T = 183 K; mean ( σ(C–C) = 0.006 Å; R factor = 0.081; wR factor = 0.195; data-to-parameter ratio = 13.4.
The title molecule, C14H9ClN2OS, exists in the solid state in its amide form with a typical C=O bond length, as well as shortened C-N bonds. The plane containing the HNCO atoms subtends dihedral angles of 12.3 (4) and 8.1 (3)° with the planes of the phenyl ring and benzothiazole group, respectively, whereas the dihedral angle between the planes of the phenyl ring and the benzothiazole group is 5.96 (6)°. In the crystal, molecules form intermolecular N-H...N hydrogen bonds, generating independent scissor-like R22(8) dimers. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.028; wR factor = 0.079; data-to-parameter ratio = 13.3.
In the molecule of the title compound, C14H16ClN3O, the benzene and pyrazole rings are oriented at a dihedral angle of 3.50 (3)°. In the crystal structure, intermolecular N-H...O hydrogen bonds link the molecules into chains. A [pi]-[pi] contact between the benzene and pyrazole rings [centroid-centroid distance = 3.820 (3) Å] may further stabilize the structure. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 Å; R factor = 0.031; wR factor = 0.086; data-to-parameter ratio = 14.1.
2-Chloro-5-nitroaniline
(2009)
The molecule of the title compound, C6H5ClN2O2, is close to being planar (rms deviation = 0.032 Å for all non-H atoms), with a maximum deviation of -0.107 (3) Å for an O atom. In the crystal structure, intermolecular N-H...O and N-H...N interactions link the molecules into a three-dimensional network. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A°; R factor = 0.023; wR factor = 0.061; data-to-parameter ratio = 11.8.
4-(4-Nitrophenoxy)biphenyl
(2009)
The two phenyl rings of the biphenyl unit of the title compound, C18H13NO3, are almost coplanar [dihedral angle 6.70 (9)°]. The nitrophenyl ring, on the other hand, is significantly twisted out of the plane of the these two rings, making dihedral angles of 68.83 (4)° with the middle ring and 62.86 (4)° with the end ring. The nitro group is twisted by 12.1 (2)° out of the plane of the phenyl ring to which it is attached. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A° ; R factor = 0.040; wR factor = 0.118; data-to-parameter ratio = 12.8.
The six-membered ring of the title compound, C11H16NO, has a distorted envelope conformation. The piperidine N atom deviates by 0.128 (1) Å from the plane through its three neighbouring atoms. In the crystal structure, molecules are connected by intermolecular Cethynyl-H...O contacts to form chains extending in the [10\overline{1}] direction. Key indicators: single-crystal X-ray study; T = 167 K; mean σ(C–C) = 0.001 Å ; R factor = 0.040; wR factor = 0.112; data-to-parameter ratio = 27.3.
Molecules of the title compound, C40H42BrNO6, are located on a crystallographic twofold rotation axis. As a result, the nitro group and bromine residue are mutually disordered with equal occupancies. The propoxy-substituted aromatic rings are close to parallel to each other [dihedral angle = 21.24 (1)°], whereas the propenoxy-substituted rings enclose a dihedral angle of 70.44 (1)°. The dihedral angles between the methylene C atoms and the aromatic rings shows that the propenoxy substituted rings are bent away from the calixarene cavity [dihedral angle between the planes = 35.22 (8)°], whereas the propoxy-substituted rings are almost perpendicular [79.38 (10)°] to the plane of the methylene C atoms. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.006 A° ; disorder in main residue; R factor = 0.065; wR factor = 0.130; data-to-parameter ratio = 11.8.
The asymmetric unit of the title compound, [K(C3H3N2)(C12H24O6)], is composed of a potassium cation bonded to the six O atoms of a crown ether molecule and the two N atoms of a pyrazolate anion. The K...O distances range from 2.8416 (8) to 3.0025 (8) Å, and the two K...N distances are 2.7441 (11) and 2.7654 (11) Å. The K cation is displaced by 0.8437 (4) Å from the best plane through the six O atoms. The latter plane is almost perpendicular to the plane of the pyrazolate ring [dihedral angle 83.93 (3)°]. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A°; R factor = 0.026; wR factor = 0.066; data-to-parameter ratio = 16.5.
The title compound, C14H9Cl3N2OS, has bond lengths and angles which are quite typical for thiourea compounds of this class. The molecule exists in the solid state in its thione form with typical thiourea C=S and C=O bond lengths, as well as shortened C-N bonds. An intramolecular N-H...O hydrogen bond stabilizes the molecular conformation. Intermolecular N-H...S hydrogen bonds link the molecules to form centrosymmetric dimers. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A° ; R factor = 0.029; wR factor = 0.078; data-to-parameter ratio = 17.2.
In the title compound, C30H34N2O6, the complete molecule is generated by a crystallographic 2/m symmetry operation. The 1-oxyl-3-pyrroline-3-carboxylate group lies on a mirror plane. The dihedral angle between the ring planes of the biphenyl fragment is constrained by symmetry to be zero, resulting in rather short intramolecular H...H contact distances of 2.02 Å. In the crystal, molecules are connected along the a-axis direction by very weak intermolecular methyl-phenyl C-H...[pi] interactions. The C-H bond is not directed to the center of the benzene ring, but mainly to one C atom [C-H...C(x - 1, y, z): H...C = 2.91 Å and C-H...C = 143°]. Key indicators: single-crystal X-ray study; T = 169 K; mean σC–C) = 0.002 Å ; R factor = 0.049; wR factor = 0.126; data-to-parameter ratio = 19.8.
The title compound, C14H20O3, is a synthetic analogue with a long aliphatic side chain of the important food additive and flavoring agent, vanillin. There are two independent molecules in the asymmetric unit, each having an essentially planar conformation (r.m.s. deviations of 0.023 and 0.051Å for all non-H atoms of the two molecules in the asymmetric unit). Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A°; R factor = 0.049; wR factor = 0.144; data-to-parameter ratio = 15.9.
The title compound, C20H22O2, crystallizes with two independent molecules in the asymmetric unit. In each molecule, all the non-H atoms lie in a common plane (r.m.s. deviations of 0.098 and 0.079 Å). There is a [pi]-[pi] stacking interaction in the crystal structure. The central aromatic rings of the two molecules, which are stacked head-to-tail one above the other, are separated by centroid-to-centroid distances of 3.872 (13) and 3.999 (10) Å. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.003 A° ; R factor = 0.044; wR factor = 0.101; data-to-parameter ratio = 14.6.
In the title compound, C11H14O4, an intermediate for the synthesis of a new kind of estrogen receptor modulator, all non-H atoms lie on a common plane (r.m.s. deviation = 0.0472 Å). All C-C bonds in the side chain are in a trans conformation, and the hydroxyl group is also trans to the methylene chain. In the crystal structure, molecules form centrosymmetric dimers showing a head-to-head arrangement which is stabilized by O-H...O hydrogen bonds. A weak C-H...O contact is also present.
9,9-Dimethyl-9-silafluorene
(2009)
The title compound, C14H14Si, crystallizes with two almost identical molecules (r.m.s. deviation = 0.080 Å for all non-H atoms) in the asymmetric unit. All atoms of the silafluorene moiety lie in a common plane (r.m.s. deviations = 0.049 and 0.035 Å for the two molecules in the asymmetric unit). The Si-Cmethyl bonds are significantly shorter [1.865 (4)-1.868 (4) Å] than the Si-Caromatic bonds [1.882 (3)-1.892 (3) Å]. Owing to strain in the five-membered ring, the endocyclic C-Si-C angles are reduced to 91.05 (14) and 91.21 (14)°. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.005 A°; R factor = 0.061; wR factor = 0.157; data-to-parameter ratio = 16.3.
The complete molecule of the title compound, C18H24N2O2, is generated by a crystallographic inversion centre. The torsion angles in the hexamethylene chain are consistent with an antiperiplanar conformation, whereas the conformation of the O—CH2—CH2—CH2 unit is gauche. The three-dimensional crystal packing is stabilized by N—H⋯O and N—H⋯N hydrogen bonding.
The Mg centre in the title compound, [MgBr2(C2H7N)3], is pentacoordinated in a trigonal-bipyramidal mode with the two Br atoms in axial positions and the N atoms of the dimethylamine ligands in equatorial positions. The MgII centre is located on a crystallographic twofold rotation axis. The crystal structure is stabilized by N—H⋯Br hydrogen bonds. The N atom and H atoms of one dimethylamine ligand are disordered over two equally occupied positions.
Modelling protein flexibility and plasticity is computationally challenging but important for understanding the function of biological systems. Furthermore, it has great implications for the prediction of (macro) molecular complex formation. Recently, coarse-grained normal mode approaches have emerged as efficient alternatives for investigating large-scale conformational changes for which more accurate methods like MD simulation are limited due to their computational burden. We have developed a Normal Mode based Simulation (NMSim) approach for efficient conformation generation of macromolecules. Combinations of low energy normal modes are used to guide a simulation pathway, whereas an efficient constraints correction approach is applied to generate stereochemically allowed conformations. Non-covalent bonds like hydrogen bonds and hydrophobic tethers and phi-psi favourable regions are also modelled as constraints. Conformations from our approach were compared with a 10 ns MD trajectory of lysozyme. A 2-D RMSD plot shows a good overlap of conformational space, and rms fluctuations of residues show a correlation coefficient of 0.78 between the two sets of conformations. Furthermore, a comparison of NMSim simulations starting from apo structures of different proteins show that ligand-bound conformations can be sampled for those cases where conformational changes are mainly correlated, e.g., domain-like motion in adenylate kinase. Efforts are currently being made to also model localized but functionally important motions for protein binding pockets and protein-protein interfaces using relevant normal mode selection criteria and implicit rotamer basin creation.
A new method to bridge the gap between ligand and receptor-based methods in virtual screening (VS) is presented. We introduce a structure-derived virtual ligand (VL) model as an extension to a previously published pseudo-ligand technique [1]: LIQUID [2] fuzzy pharmacophore virtual screening is combined with grid-based protein binding site predictions of PocketPicker [3]. This approach might help reduce bias introduced by manual selection of binding site residues and introduces pocket shape information to the VL. It allows for a combination of several protein structure models into a single "fuzzy" VL representation, which can be used to scan screening compound collections for ligand structures with a similar potential pharmacophore. PocketPicker employs an elaborate grid-based scanning procedure to determine buried cavities and depressions on the protein's surface. Potential binding sites are represented by clusters of grid probes characterizing the shape and accessibility of a cavity. A rule-based system is then applied to project reverse pharmacophore types onto the grid probes of a selected pocket. The pocket pharmacophore types are assigned depending on the properties and geometry of the protein residues surrounding the pocket with regard to their relative position towards the grid probes. LIQUID is used to cluster representative pocket probes by their pharmacophore types describing a fuzzy VL model. The VL is encoded in a correlation vector, which can then be compared to a database of pre-calculated ligand models. A retrospective screening using the fuzzy VL and several protein structures was evaluated by ten fold cross-validation with ROC-AUC and BEDROC metrics, obtaining a significant enrichment of actives. Future work will be devoted to prospective screening using a novel protein target of Helicobacter pylori and compounds from commercial providers.
Protein kinases are targets for drug development. Dysregulation of kinase activity leads to various diseases, e.g. cancer, inflammation, diabetes. Human polo-like kinase 1 (Plk1), a serine/threonine kinase, is a cancer-relevant gene and a potential drug target which attracts increasing attention in the field of cancer therapy. Plk1 is a key player in mitosis and modulates entry into mitosis and the spindle checkpoint at the meta-/anaphase transition. Plk1 overexpression is observed in various human tumors, and it is a negative prognostic factor for cancer patients. The same catalytical mechanism and the same co-substrate (ATP) lead to the problem of inhibitor selectivity. A strategy to solve this problem is represented by targeting the inactive conformation of kinases. Kinases undergo conformational changes between active and inactive conformation and thus an additional hydrophobic pocket is created in the inactive conformation where the surrounding amino acids are less conserved. A "homology model" of the inactive conformation of Plk1 was constructed, as the crystal structure in its inactive conformation is unknown. A crystal structure of Aurora A kinase served as template structure. With this homology model a receptor-based pharmacophore search was performed using SYBYL7.3 software. The raw hits were filtered using physico-chemical properties. The resulting hits were docked using Gold3.2 software, and 13 candidates for biological testing were manually selected. Three compounds of the 13 tested exhibit anti-proliferative effects in HeLa cancer cells. The most potent inhibitor, SBE13, was further tested in various other cancer cell lines of different origins and displayed EC50 values between 12 microM and 39 microM. Cancer cells incubated with SBE13 showed induction of apoptosis, detected by PARP (Poly-Adenosyl-Ribose-Polymerase) cleavage, caspase 9 activation and DAPI staining of apoptotic nuclei.
For a virtual screening study, we introduce a combination of machine learning techniques, employing a graph kernel, Gaussian process regression and clustered cross-validation. The aim was to find ligands of peroxisome-proliferator activated receptor gamma (PPAR-y). The receptors in the PPAR family belong to the steroid-thyroid-retinoid superfamily of nuclear receptors and act as transcription factors. They play a role in the regulation of lipid and glucose metabolism in vertebrates and are linked to various human processes and diseases. For this study, we used a dataset of 176 PPAR-y agonists published by Ruecker et al. ...
Two methods for the fast, fragment-based combinatorial molecule assembly were developed. The software COLIBREE® (Combinatorial Library Breeding) generates candidate structures from scratch, based on stochastic optimization [1]. Result structures of a COLIBREE design run are based on a fixed scaffold and variable linkers and side-chains. Linkers representing virtual chemical reactions and side-chain building blocks obtained from pseudo-retrosynthetic dissection of large compound databases are exchanged during optimization. The process of molecule design employs a discrete version of Particle Swarm Optimization (PSO) [2]. Assembled compounds are scored according to their similarity to known reference ligands. Distance to reference molecules is computed in the space of the topological pharmacophore descriptor CATS [3]. In a case study, the approach was applied to the de novo design of potential peroxisome proliferator-activated receptor (PPAR gamma) selective agonists. In a second approach, we developed the formal grammar Reaction-MQL [4] for the in silico representation and application of chemical reactions. Chemical transformation schemes are defined by functional groups participating in known organic reactions. The substructures are specified by the linear Molecular Query Language (MQL) [5]. The developed software package contains a parser for Reaction-MQL-expressions and enables users to design, test and virtually apply chemical reactions. The program has already been used to create combinatorial libraries for virtual screening studies. It was also applied in fragmentation studies with different sets of retrosynthetic reactions and various compound libraries.
There is a renewed interest in pseudoreceptor models which enable computational chemists to bridge the gap of ligand- and receptor-based drug design. We developed a pseudoreceptor model for the histamine H4 receptor (H4R) based on five potent antagonists representing different chemotypes. Here we present the selection of potential ligand binding pockets that occur during molecular dynamics (MD) simulations of a homology-based receptor model. We present a method for prioritizing receptor models according to their match with the consensus ligand-binding mode represented by the pseudoreceptor. In this way, ligand information can be transferred to receptor-based modelling. We use Geometric Hashing to match three-dimensional points in Cartesion space. This allows for the rapid translation- and rotation-free comparison of atom coordinates, which also permits partial matching. The only prerequisite is a hash table, which uses distance triplets as hash keys. Each time a distance triplet occurring in the candidate point set which corresponds to an existing key, the match is represented by a vote of the respective key. Finally, the global match of both point sets can be easily extracted by selection of voted distance triplets. The results revealed a preferred ligand-binding pocket in H4R, which would not have been identified using an unrefined homology model of the protein. The key idea was to rely on ligand information by pseudoreceptor modelling.
We developed the Pharmacophore Alignment Search Tool (PhAST), a text-based technique for rapid hit and lead structure searching in large compound databases. For each molecule, a two-dimensional graph of potential pharmacophoric points (PPPs) is created, which has an identical topology as the original molecule with implicit hydrogen atoms. Each vertex is coloured by a symbol representing the corresponding PPP. The vertices of the graph are canonically labelled. The symbols associated with the vertices are combined to a so-called PhAST-Sequence beginning with the vertex with the lowest canonical label. Due to the canonical labelling the created PhAST-Sequence is characteristic for each molecule. For similarity assessment, PhAST-Sequences are compared using the sequence identity in their global pairwise alignment. The alignment score lies between 0 (no similarity) and 1 (identical PhAST-Sequences). In order to use global pairwise sequence alignment, a score matrix for pharmacophoric symbols was developed and gap penalties were optimized. PhAST performed comparably and sometimes superior to other similarity search tools (CATS2D, MOE pharmacophore quadruples) in retrospective virtual screenings using the COBRA collection of drugs and lead structures. Most importantly, the PhAST alignment technique allows for the computation of significance estimates that help prioritize a virtual hit list.
The representation of small molecules as molecular graphs is a common technique in various fields of cheminformatics. This approach employs abstract descriptions of topology and properties for rapid analyses and comparison. Receptor-based methods in contrast mostly depend on more complex representations impeding simplified analysis and limiting the possibilities of property assignment. In this study we demonstrate that ligand-based methods can be applied to receptor-derived binding site analysis. We introduce the new method PocketGraph that translates representations of binding site volumes into linear graphs and enables the application of graph-based methods to the world of protein pockets. The method uses the PocketPicker algorithm for characterization of binding site volumes and employs a Growing Neural Gas procedure to derive graph representations of pocket topologies. Self-organizing map (SOM) projections revealed a limited number of pocket topologies. We argue that there is only a small set of pocket shapes realized in the known ligand-receptor complexes.
SIVsmmPBj-derived lentiviral vectors are capable of efficient primary human monocyte transduction, a capacity which is linked to the viral accessory protein Vpx. To enable novel gene therapy approaches targeting monocytes, in this thesis it was aimed to generate enhanced lentiviral vectors that meet the required standards for clinical applications with respect to gene transfer efficiency and safety. The vectors were tested for their suitability in a relevant therapeutic gene transfer approach. At first, it was investigated whether vectors derived from another Vpx-carrying lentivirus reveal the same capacity for monocyte transduction as SIVsmmPBj-derived vectors. A transduction experiment using HIV-2-derived vectors in comparison to PBj-derived vectors revealed a comparable transduction capacity, thus disproving the assumed uniqueness of the PBj vectors. The further generation and analysis of expression constructs for the vpx genes of HIV-2 and SIVmac demonstrated a similar functionality in monocyte transduction as the Vpx of PBj. As VpxPBj, both Vpx proteins facilitated monocyte transduction of a vpx-deficient PBj-derived vector system. For the generation of enhanced SIVsmmPBj and HIV-2 vector systems, only the transfer vectors were optimized, since the packaging vectors available already meet current standards. At first, several modifications were introduced into an available preliminary PBj-derived transfer vector by conventional cloning. The modifications included insertions of cPPT/CTS and WPRE as well as the deletions of the remaining pol sequence, the second exons of tat end rev, and the U3-region within the 3’LTR to generate a SIN vector. Thus, beside safety enhancement, the vector titers were also increased from 9.1x105 TU/ml achieved after concentration with the initial transfer vector up to 1.1x107 TU/ml with the final transfer vector. The PBj vector retained its capability of monocyte transduction when supplemented with Vpx. This conventional method of vector enhancement is time-consuming and may result in only sub-optimal vectors, since it depends on the presence of restriction sites which may not allow deletion of all needless sequences. Moreover, mutations may accumulate during the high number of cloning and amplification steps. Therefore, a new and easier method for lentiviral transfer vector generation was conceived. Three essential segments of the viral genome (5‘ LTR, RRE, ΔU3-3’ LTR) are amplified on the template of the lentiviral wild-type genome and fused by Fusion-PCR. Further necessary elements namely the cPPT/CTS-element, MCS, and PPT are included into the resulting vector by extension of the nucleotide primers used for the PCRs. The amplified and fused vector-scaffold can easily be integrated into a plasmid backbone, followed by insertion of the expression cassette of choice. By applying this approach, two novel lentiviral transfer vectors, based on the non-human SIVsmmPBj and the human HIV-2, were derived. Vector titers achieved for PBj and HIV-2 vectors supplemented with Vpx reached up to 4.0x108 TU/ml and 5.4x108 TU/ml, respectively. The capacity for monocyte transduction was maintained. Thus, safe and efficient, state of the art HIV-2- and PBj-derived vector systems are now available for future gene therapy strategies. Finally, the new vectors were used to set up an approach for gene correction of gp91phox-deficient monocytes for the treatment of X-linked chronic granulomatous disease (xCGD). The administration of autologous, gene-corrected monocytes to counteract systemic and acute infections could lead to a decreased infection load, dissolve granulomas and therefore improve the survival rate of hematopoietic stem cell transplantation (HSCT) which is the current treatment of choice for this disease. First, methods for analysis of gp91phox function were established. Next, they were employed to demonstrate the capacity of monocytes, obtained from healthy humans or mice, for phagocytosis, oxidative burst, and Staphylococcus aureus killing. The in vivo half-life of murine monocytes in the bloodstream and their distribution to specific tissues was determined. Lastly, HIV-1 vectors were used to transfer the gp91phox gene into monocytes from gp91phox-deficient mice. This resulted in the successful restoration of the oxidative burst ability in the cells. In summary, the general suitability of the new vectors for treatment of CGD by monocyte transduction was demonstrated. The results of the mouse experiments provide the foundation for future challenge experiments to evaluate the capability of gene-corrected monocytes to kill off microbes in vivo.
The CUG-binding protein 1 (CUG-BP1) is a member of the CUG-BP1 and ETR-like factors (CELF) family or the Bruno-like family and is involved in the control of splicing, translation and mRNA degradation. Several target RNA sequences of CUG-BP1 have been predicted, such as the CUG triplet repeat, the GU-rich sequences and the AU-rich element of nuclear pre-mRNAs and/or cytoplasmic mRNA. CUG-BP1 has three RNA-recognition motifs (RRMs), among which the third RRM (RRM3) can bind to the target RNAs on its own. In this study, we solved the solution structure of the CUG-BP1 RRM3 by hetero-nuclear NMR spectroscopy. The CUG-BP1 RRM3 exhibited a noncanonical RRM fold, with the four-stranded b-sheet surface tightly associated with the N-terminal extension. Furthermore, we determined the solution structure of the CUG-BP1 RRM3 in the complex with (UG)3 RNA, and discovered that the UGU trinucleotide is specifically recognized through extensive stacking interactions and hydrogen bonds within the pocket formed by the b-sheet surface and the N-terminal extension. This study revealed the unique mechanism that enables the CUG-BP1 RRM3 to discriminate the short RNA segment from other sequences, thus providing the molecular basis for the comprehension of the role of the RRM3s in the CELF/Bruno-like family.
Riboswitches are a novel class of genetic control elements that function through the direct interaction of small metabolite molecules with structured RNA elements. The ligand is bound with high specificity and affinity to its RNA target and induces conformational changes of the RNA's secondary and tertiary structure upon binding. To elucidate the molecular basis of the remarkable ligand selectivity and affinity of one of these riboswitches, extensive all-atom molecular dynamics simulations in explicit solvent ({approx}1 µs total simulation length) of the aptamer domain of the guanine sensing riboswitch are performed. The conformational dynamics is studied when the system is bound to its cognate ligand guanine as well as bound to the non-cognate ligand adenine and in its free form. The simulations indicate that residue U51 in the aptamer domain functions as a general docking platform for purine bases, whereas the interactions between C74 and the ligand are crucial for ligand selectivity. These findings either suggest a two-step ligand recognition process, including a general purine binding step and a subsequent selection of the cognate ligand, or hint at different initial interactions of cognate and noncognate ligands with residues of the ligand binding pocket. To explore possible pathways of complex dissociation, various nonequilibrium simulations are performed which account for the first steps of ligand unbinding. The results delineate the minimal set of conformational changes needed for ligand release, suggest two possible pathways for the dissociation reaction, and underline the importance of long-range tertiary contacts for locking the ligand in the complex.
Lentiviral vectors mediate gene transfer into dividing and most non-dividing cells. Thereby, they stably integrate the transgene into the host cell genome. For this reason, lentiviral vectors are a promising tool for gene therapy. However, safety and efficiency of lentiviral mediated gene transfer still needs to be optimised. Ideally, cell entry should be restricted to the cell population relevant for a particular therapeutic application. Furthermore, lentiviral vectors able to transduce quiescent lymphocytes are desirable. Although many approaches were followed to engineer retroviral envelope proteins, an effective and universally applicable system for retargeting of lentiviral cell entry is still not available. Just before the experimental work of this thesis was started, retargeting of measles virus (MV) cell entry was achieved. This virus has two types of envelope glycoproteins, the hemagglutinin (H) protein responsible for receptor recognition and the fusion (F) protein mediating membrane fusion. For retargeting, the H protein was mutated in its interaction sites for the native MV receptors and a ligand or a single-chain antibody (scAb) was fused to its ectodomain. It was hypothesised that the retargeting system of MV can be transferred to lentiviral vectors by pseudotyping human immunodeficiency virus-1 (HIV-1) derived vector particles with the MV glycoproteins. As the unmodified MV glycoproteins did not pseudotype HIV vectors, two F and 15 H protein variants carrying stepwise truncations or amino acid (aa) exchanges in their cytoplasmic tails were screened for their ability to form MV-HIV pseudotypes. The combinations Hcd18/Fcd30, Hcd19/Fcd30 and Hcd24+4A/Fcd30 led to most efficient pseudotype formation with titers above 10exp6 transducing units /ml, using concentrated particles. The F cytoplasmic tail was truncated by 30 aa and the H cytoplasmic tail was truncated by 18, 19 or 24 residues with four added alanines after the start methionine in the latter case. Western blot analysis indicated that particle incorporation of the MV glycoproteins was enhanced upon truncation of their cytoplasmic tails. With the MV-HIV vectors high titers on different cell lines expressing one or both MV receptors were obtained, whereas MV receptor-negative cells remained untransduced. Titers were enhanced using an optimal H to F plasmid ratio (1:7) during vector particle production. Based on the described pseudotyping with the MV glycoprotein variants, HIV vectors retargeted to the epidermal growth factor receptor (EGFR) or the B cell surface marker CD20 were generated. For the production of the retargeted vectors MVaEGFR-HIV and MVaCD20-HIV, Fcd30 together with a native receptor blind Hcd18 protein, displaying at its ectodomain either the ligand EGF or a scAb directed against CD20 were used. With these vectors, gene transfer into target receptor-positive cells was several orders of magnitude more efficient than into control cells. The almost complete absence of background transduction of non-target cells was e.g. demonstrated in mixed cell populations, where the CD20-targeting vector selectively eliminated CD20-positive cells upon suicide gene transfer. Remarkably, transduction of activated primary human CD20-positive B cells was much more efficient with the MVaCD20-HIV vector than with the standard pseudotype vector VSV-G-HIV. Even more surprisingly, MVaCD20-HIV vectors were able to transduce quiescent primary human B cells, which until then had been resistant towards lentiviral gene transfer. The most critical step during the production of MV-HIV pseudotypes was the identification of H cytoplasmic tail mutants that allowed pseudotyping while retaining the fusion helper function. In contrast to previously inefficient targeting strategies, the reason for the success of this novel targeting system must be based on the separation of the receptor recognition and fusion functions onto two different proteins. Furthermore, with the CD20-targeting vector transduction of quiescent B cells was demonstrated for the first time. Own data and literature data suggest that CD20 binding and hyper-cross-linking by the vector particles results in calcium influx and thus activation of quiescent B cells. Alternatively this feature may be based on a residual binding activity of the MV glycoproteins to the native MV receptors that is insufficient for entry but induces cytoskeleton rearrangements dissolving the post-entry block of HIV vectors. Hence, in this thesis efficient retargeting of lentiviral vectors and transduction of quiescent cells was combined. This novel targeting strategy should be easily adaptable to many other target molecules by extending the modified MV H protein with appropriate specific domains or scAbs. It should now be possible to tailor lentiviral vectors for highly selective gene transfer into any desired target cell population with an unprecedented degree of efficiency.
Shape complementarity is a compulsory condition for molecular recognition. In our 3D ligand-based virtual screening approach called SQUIRREL, we combine shape-based rigid body alignment with fuzzy pharmacophore scoring. Retrospective validation studies demonstrate the superiority of methods which combine both shape and pharmacophore information on the family of peroxisome proliferator-activated receptors (PPARs). We demonstrate the real-life applicability of SQUIRREL by a prospective virtual screening study, where a potent PPARalpha agonist with an EC50 of 44 nM and 100-fold selectivity against PPARgamma has been identified...
The light-harvesting complex of photosystem II (LHC-II) is the major antenna complex in plant photosynthesis. It accounts for roughly 30% of the total protein in plant chloroplasts, which makes it arguably the most abundant membrane protein on Earth, and binds about half of plant chlorophyll (Chl). The complex assembles as a trimer in the thylakoid membrane and binds a total of 54 pigment molecules, including 24 Chl a, 18 Chl b, 6 lutein (Lut), 3 neoxanthin (Neo) and 3 violaxanthin (Vio). LHC-II has five key roles in plant photosynthesis. It: (1) harvests sunlight and transmits excitation energy to the reaction centres of photosystems II and I, (2) regulates the amount of excitation energy reaching each of the two photosystems, (3) has a structural role in the architecture of the photosynthetic supercomplexes, (4) contributes to the tight appression of thylakoid membranes in chloroplast grana, and (5) protects the photosynthetic apparatus from photo damage by non photochemical quenching (NPQ). A major fraction of NPQ is accounted for its energy-dependent component qE. Despite being critical for plant survival and having been studied for decades, the exact details of how excess absorbed light energy is dissipated under qE conditions remain enigmatic. Today it is accepted that qE is regulated by the magnitude of the pH gradient (ΔpH) across the thylakoid membrane. It is also well documented that the drop in pH in the thylakoid lumen during high-light conditions activates the enzyme violaxanthin de-epoxidase (VDE), which converts the carotenoid Vio into zeaxanthin (Zea) as part of the xanthophyll cycle. Additionally, studies with Arabidopsis mutants revealed that the photosystem II subunit PsbS is necessary for qE. How these physiological responses switch LHC-II from the active, energy transmitting to the quenched, energy-dissipating state, in which the solar energy is not transmitted to the photosystems but instead dissipated as heat, remains unclear and is the subject of this thesis. From the results obtained during this doctoral work, five main conclusions can be drawn concerning the mechanism of qE: 1. Substitution of Vio by Zea in LHC-II is not sufficient for efficient dissipation of excess excitation energy. 2. Aggregation quenching of LHC-II does not require Vio, Neo nor a specific Chl pair. 3. With one exception, the pigment structure in LHC-II is rigid. 4. The two X-ray structures of LHC-II show the same energy transmitting state of the complex. 5. Crystalline LHC-II resembles the complex in the thylakoid membrane. Models of the aggregation quenching mechanism in vitro and the qE mechanism in vivo are presented as a corollary of this doctoral work. LHC-II aggregation quenching in vitro is attributed to the formation of energy sinks on the periphery of LHC-II through random interaction with other trimers, free pigments or impurities. A similar but unrelated process is proposed to occur in the thylakoid membrane, by which excess excitation energy is dissipated upon specific interaction between LHC-II and a PsbS monomer carrying Zea. At the end of this thesis, an innovative experimental model for the analysis of all key aspects of qE is proposed in order to finally solve the qE enigma, one of the last unresolved problems in photosynthesis research.