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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.
A generic drug product (World Health Organization (WHO) terminology: multisource product) is usually marketed and manufactured after the expiry date of the innovator’s patent. Generic drugs are less expensive than the innovator products because generic manufacturers do not have to amortize the investment costs of research, development, marketing, and promotion. Multisource products must contain the same active pharmaceutical ingredients (APIs) as the original formulation and have to be shown to be interchangeable with the original formulation. Multisource products have to be shown bioequivalent to the innovator counterpart with respect to pharmacokinetic and pharmacodynamic properties. Multisource products are therefore identical in dose, strength, route of administration, safety, efficacy, and intended use. Bioequivalence can be demonstrated by in vitro dissolution, pharmacokinetic, pharmacodynamic or clinical studies. Since 2000, the U.S. Food and Drug Administration (FDA) allows the approval of certain multisource products solely on the basis of in vitro studies, i.e. by waiving in vivo studies in humans (“Biowaiver”), based on the Biopharmaceutics Classification Scheme (BCS). The BCS characterizes APIs by their solubility and permeability in the gastrointestinal tract (GIT). The different BCS Classes I-IV (Class I: high solubility, high permeability; Class II: low solubility, high permeability; Class III: high solubility, low permeability and Class IV: low solubility, low permeability) result from all possible combinations of high and low solubility with high and low permeability. Since the adoption of the BCS by the FDA in 1995, the BCS criteria have been under continuous development. In 2006, the WHO has released the most recent bioequivalence guidance including relaxed criteria for bioequivalence studies based on modified BCS criteria. According to this guidance, APIs belonging to the BCS classes I – and under defined conditions - II and III – are eligible for a biowaiver-based approval. The principal objective of this work was to characterize the first-line anti tuberculosis APIs, isoniazid, pyrazinamide, ethambutol dihydrochloride and rifampicin, according to their physicochemical, biopharmaceutical, pharmacokinetic and pharmacological properties and to classify them according to the BCS. Ethambutol dihydrochloride and isoniazid were classified as borderline BCS class I/III APIs. Pyrazinamide was classified as a BCS class III and rifampicin as a BCS class II API. Based on the BCS classification and the additional criteria defined in the WHO bioequivalence guidance, the possibility of biowaiver-based approval for immediate release (immediate release) solid oral dosage forms containing the first-line antituberculosis drugs was evaluated. A biowaiver-based approval with defined constraints was recommended for immediate release solid oral dosage forms containing isoniazid (interaction with reducing sugars), pyrazinamide and ethambutol dihydrochloride (relative narrow therapeutic index). Rifampicin was classified as a BCS class II API, and it was concluded that rifampicin containing solid oral immediate release drug products as well as Scale-Up and Post-Approval Changes (SUPAC) changes should not be approved by a biowaiver on the following basis: (i) its solubility and dissolution are highly variable due to polymorphism and instability, (ii) concomitant intake of food and antacids reduces its absorption and bioavailability, (iii) no in vitro predictive dissolution test has been found which correlates to in vivo absorption and (iv) several publications reporting cases of non-bioequivalent and bioinequivalent rifampicin products have been located in the literature. Thus, it is recommended that bioequivalence of rifampicin containing solid oral immediate release drug products should be established by in vivo pharmacokinetic studies in humans. This risk-benefit benefit assessment of a biowaiver-based approval was presented as a poster at the American Association of Pharmaceutical Scientists (AAPS) 2005 and subsequently published as “Biowaiver Monographs” in the Journal of Pharmaceutical Sciences. Based on the assessment of the dissolution properties of the antituberculosis drugs for a biowaiver approval, quality control dissolution methodologies for the International Pharmacopoeia (Pharm. Int.) were developed, presented at the WHO expert meeting and adopted in the Pharm. Int. (http://www.who.int/medicines/publications/pharmprep/OMS_TRS_948.pdf). Additionally, preliminary biowaiver recommendations were also developed for four firstline antimalarial drugs listed on the WHO Essential Medicines List (EML): Quinine, as both the hydrochloride and sulphate, and proguanil hydrochloride were classified as borderline BCS class I/III APIs. Since quinine is a narrow therapeutic index drug and many cases of non-bioequivalence have been reported in the literature, a biowaiverbased approval was not recommended. For solid oral immediate release dosage forms containing proguanil a biowaiver-based approval was recommended under the condition that they dissolve very rapidly. Primaquine phosphate was classified as a BCS class I API. Therefore, a biowaiver-based approval was recommended for immediate release solid oral dosage forms containing primaquine phosphate. Mefloquine hydrochloride was classified as a basic, BCS class IV/II API, making it ineligible for the biowaiver. Additionally, reports of non-bioequivalence and a narrow therapeutic index were found in the scientific literature. Consequently, bioequivalence of solid oral immediate release dosage forms containing mefloquine hydrochloride should be established by in vivo pharmacokinetic studies. The results for quinine hydrochloride and sulphate, proguanil hydrochloride, primaquine diphosphate and mefloquine hydrochloride were presented as a poster at the Pharmaceutical Sciences World Congress (PSWC) 2007 and published as a WHO Collaborating Center Report in June 2006. The aim of this project was to collect, evaluate, generate and publish relevant information for a biowaiver-based approval of essential medicines in order to provide a summary to local regulatory authorities. This information complements the selected list of essential medicines by providing information about the biopharmaceutical properties and pharmaceutical quality of solid oral immediate release dosage forms containing these APIs. The aim of the biowaiver project, inspired by the WHO and brought in life by the International Pharmaceutical Federation (FIP), is to enable access to essential medicines in standardized quality at an affordable price. In this work, a significant contribution to this aim in the form of four biowaiver monographs for the antituberculosis drugs and several reports on the antimalarials has been achieved.