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In Philadelphia Chromosome (Ph) positive ALL and CML the fusion between BCR and ABL leads to the BCR/ABL fusion proteins, which induces the leukemic phenotype because of the constitutive activation of multiple signaling pathways down-stream to the aberrant BCR/ABL fusion tyrosine kinase. Targeted inhibition of BCR/ABL by ABL-kinase inhibitors induces apoptosis in BCR/ABL transformed cells and leads to complete remission in Ph positive leukemia patients. However, a large portion of patients with advanced Ph+ leukemia relapse and acquire resistance. Kinase domain (KD) mutations interfering with inhibitor binding represent the major mechanism of acquired resistance in patients with Ph+ leukemia. Tetramerization of BCR/ABL through the N-terminal coiled-coil region (CC) of BCR is essential for the ABL-kinase activation. Targeting the CC-domain forces BCR/ABL into a monomeric conformation, reduces its kinase activity and increases the sensitivity for Imatinib. Here we show that i.) targeting the tetramerization by a peptide representing the Helix-2 of the CC efficiently reduced the autophosphorylation of both WT BCR/ABL and its mutants; ii.) Helix-2 inhibited the transformation potential of BCR/ABL independently of the presence of mutations; iii.) Helix-2 efficiently cooperated with Imatinib as revealed by their effects on the transformation potential and the factor-independence related to BCR/ABL with the exception of mutant T315I. These findings suggest that BCR/ABL harboring the T315I mutation have a transformation potential which is at least partially independent from its kinase activity. Targeted inhibition of BCR/ABL by small molecule inhibitors reverses the transformation potential of BCR/ABL. We definitively proved that targeting the tetramerization of BCR/ABL mediated by the N-terminal coiled-coil domain (CC) using competitive peptides, representing the Helix-2 of the CC, represents a valid therapeutic approach for treating Ph+ leukemia. To further develop competitive peptides for targeting BCR/ABL, we created a membrane permeable Helix-2 peptide (MPH-2) by fusing the Helix-2 peptide with a peptide transduction tag. In this study, we report that the MPH-2: (i) interacted with BCR/ABL in vivo; (ii) efficiently inhibited the autophosphorylation of BCR/ABL; (iii) suppressed the growth and viability of Ph+ leukemic cells; and (iv) was efficiently transduced into mononuclear cells (MNC) in an in vivo mouse model. The T315I mutation confers resistance against all actually approved ABL-kinase inhibitors and competitive peptides. It seems not only to decrease affinity for kinase inhibitors but to confer additional features to the leukemogenic potential of BCR/ABL. To determine the role of T315I in resistance to the inhibition of oligomerization and in the leukemogenic potential of BCR/ABL, we investigated its influence on loss-of-function mutants with regard to the capacity to mediate factor-independence. Thus we studied the effects of T315I on BCR/ABL mutants lacking functional domains in the BCR portion indispensable for the oncogenic activity of BCR/ABL such as the N-terminal coiled coil (CC), the tyrosine phosphorylation site Y177 and the serine/threonine kinase domain (ST), as well as on the ABL portion of BCR/ABL (#ABL-T315I) with or without the inhibitory SH3 (delta SH3-ABL) domain. Here we report that i.) T315I restored the capacity to mediate factor independence of oligomerization_deficient p185BCR/ABL; ii.) resistance of p185-T315I against inhibition of the oligomerization depends on the phosphorylation at Y177; iii.) autophosphorylation at Y177 is not affected by the oligomerization inhibition, but phosphorylation at Y177 of endogenous BCR parallels the effects of T315I; iv.) the effects of T315I are associated with an intact ABL_kinase activity; v.) the presence of T315I is associated with an increased ABL_kinase activity also in mutants unable to induce Y177 phosphorylation of endogenous BCR; vi.) there is no direct relationship between the ABL-kinase activity and the capacity to mediate factor_independence induced by T315I as revealed by the #ABL-T315I mutant, which was unable to induce Y177 phosphorylation of BCR only in the presence of the SH3 domain. In contrast to its physiological counterpart c-ABL, the BCR/ABL kinase is constitutively activated, inducing the leukemic phenotype. The N-terminus of c-ABL (Cap region) contributes to the regulation of its kinase function. It is myristoylated, and the myristate residue binds to a hydrophobic pocket in the kinase domain known as the myristoyl binding pocket in a process called “capping”, which results in an auto-inhibited conformation. Because the cap region is replaced by the N-terminus of BCR, BCR/ABL “escapes” this auto-inhibition. Allosteric inhibition by myristate “mimics”, such as GNF-2, is able to inhibit unmutated BCR/ABL, but not the BCR/ABL that harbors the “gatekeeper” mutation T315I. Here we investigated the possibility of increasing the efficacy of allosteric inhibition by blocking BCR/ABL oligomerization. We demonstrate that inhibition of oligomerization was able not only to increase the efficacy of GNF-2 on unmutated BCR/ABL, but also to overcome the resistance of BCR/ABL-T315I to allosteric inhibition. These results strongly suggest that the response to allosteric inhibition by GNF-2 is inversely related to the degree of oligomerization of BCR/ABL. Taken together these data suggest that the inhibition of tetramerization inhibits BCR/ABL-mediated transformation and can contribute to overcome Imatinib-resistance. The study provides the first evidence that an efficient peptide transduction system facilitates the employ-ment of competitive peptides to target the oligomerization interface of BCR/ABL in vivo. Further the data show that T315I confers additional leukemogenic activity to BCR/ABL, which might explain the clinical behavior of patients with BCR/ABL -T315I-positive blasts. In summary, our observations establish a new approach for the molecular targeting of BCR/ABL and its resistant mutants represented by the combination of oligomerization and allosteric inhibitors.
The aim of the study was to investigate the role of the CX3C chemokine FKN in the role of platelet adhesion. The presence of the FKN receptor CX3CR1 in platelets is demonstrated and G-protein dependent activation of platelets with soluble FKN results in the increased adhesion of platelets to collagen and fibrinogen under flow 228 and adhesion of leucocytes to firmly attached platelets 231. Whether membrane-bound FKN is capable to promote the direct adhesion of platelets in flowing blood analogue to leucocytes was completely unknown. The adhesion mechanisms of FKN in mediating the adhesion of leucocytes under flow are well characterised and represent a novel unique mechanism of leucocyte capture and firm adhesion: FKN is responsible for immediate arrest of flowing CX3CR1 expressing leucocytes without the participation of additional adhesion receptors and ligands. This is in contrast to the classical leucocyte adhesion pathways, which are multistep processes involving leucocyte arrest, rolling and subsequent cell activation prior to firm arrest. In leucocytes, the FKN – CX3CR1 axis is sufficient to allow rapid arrest of leucocytes at low shear flow conditions 67, 101, 115, 122, 261. The set of data from this study demonstrates that immobilised FKN was capable to mediate the adhesion of platelets under low shear conditions, whereas there was no interaction in the absence of shear flow. In the presence of vWf in the adhesion matrix, FKN mediated the potent increased adhesion of platelets. This was in parts due to the activation of flowing platelets via CX3CR1 and the augmented translocation of platelets on FKN via the vWf receptor GPIbα. With respect to platelet activation, the function of endothelial FKN was comparable to leucocytes: in both cell types, the FKN dependent activation is mediated by its cognate receptor CX3CR1. This is in contrast to the adhesive capacity: in leucocytes, FKN dependent adhesion is mediated by CX3CR1, whereas in platelets, the adhesive capacity was mostly mediated by the vWf receptor GPIbα with only minor contribution from CX3CR1. In platelets, activation and adhesion by FKN were mediated by two distinct receptors, whereas in leucocytes, CX3CR1 is solely responsible for FKN dependent activation and adhesion. The presented results point out to a role of platelets in early stage of atherosclerosis. The in vivo expression of both, FKN and vWf is regulated by TNF-α, which is released in early stages of inflammation. The presence of vWf and FKN in the endothelial lining of blood vessels during these conditions is sufficient to initiate the capturing and translocation of platelets on the tunica interna. The rolling of platelets on the endothelium can induce endothelial damage and inflammation of the vessel, which might advance to the generation of clinically significant atherosclerotic plaques and fibrous atheroma.
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.
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 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.
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. ...
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.
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.