Development of a New Solid-Phase Extraction Base Method for Free Saccharide Content Estimation of Meningococcal Conjugate Vaccines.

GlaxoSmithKline (GSK) is currently developing a fully liquid presentation to ease the administration of the licensed quadrivalent conjugate vaccine (Menveo) against meningococcal serogroup A, C, W, and Y (MenACWY) infections. Herein, we report a new method for determining the free saccharide (FS) content of CRM197-MenACWY conjugated antigens, with the aim of improving accuracy and reproducibility. Mathematical models have been used to support technical knowledge in reducing the need for experimental development. This results in an improved, faster, and platform-based technique for FS separation with one single pretreatment applicable to all antigens of the multivalent meningococcal vaccine.

Clinically proven specification setting for a meningococcal serogroup a conjugate vaccine.

GSK is currently working to improve the commercial presentation of the licensed quadrivalent conjugate vaccine (Menveo) for use against meningococcal serogroup A, C, W, Y (MenACWY) infections. Menveo consists of a primary, lyophilized vial, containing the serogroup A antigen that is reconstituted with the content of a second, liquid, vial that contains the serogroup C, W, Y antigens, to give the final liquid MenACWY product. Since the MenA structure is prone to hydrolytic degradation in liquid formulations, we used mathematical models to rationally design a clinical Phase 2 development plan and provide end of shelf-life (EoSL) and release specification setting for the MenACWY liquid product. By using development and clinical stability data, statistical models were built and used to predict both the MenA free saccharide (FS) and O-Acetyl (OAc) content during long-term storage conditions at 5 °C and stressed (accelerated) stability studies at 15 °C, 22.5 °C, 25 °C, 37 °C and 50 °C. This approach allowed us to define an aging plan for the clinical material to reach at least the required levels of MenA FS and OAc levels at product EoSL. The clinical material was then exposed to a temperature of 22.5 ± 2.5 °C for 59 days to generate FS OAc content of about 35% and 40%, respectively, which was then delivered to the patients in the clinical trial. To the best of our knowledge, this work represents the first example in the field of vaccine research where statistical models have been used to rationally design tailored lots, with the goal of setting EoSL and release specification limits based on data collected on artificially aged clinical material, in which the FS and OAc levels tested were intended to support a product shelf-life of at least 24 months.

Virtual screening for the identification of novel nonsteroidal glucocorticoid modulators.

In this work, we describe the first application of ligand-based drug design (LBDD) to the derivation of a predictive pharmacophore for the human glucocorticoid receptor (hGR). Creation of a four feature pharmacophore in Catalyst was subsequently validated through a virtual screen of 264000 commercially available compounds. From a selected hit list of 11 diverse compounds, two nonsteroidal molecules demonstrated low micromolar activity against hGR as validated through fluorescence polarization competitive assay. Additionally, these compounds were tested for their trans-repression potential by their ability to inhibit IL-1 induced, IL-6 expression in the human A549 lung epithelial cell line. Co-treatment of A549 with 21 (MDG169) (10 microM) in combination with dexamethasone showed an improved inhibitory effect when compared to dexamethasone alone with the cooperative effect being dependent on the dexamethasone dose. Putative binding orientations in the hGR ligand binding domain crystal structure are presented. These compounds represent novel nonsteroidal hGR modulating scaffolds, rationally identified through ligand-focused computational modeling.

Rational structure-based drug design and optimization in the ligand-binding domain of the glucocorticoid receptor-α.

BACKGROUND: Endogenous glucocorticoids (GCs) are involved in a range of endocrine functions including the metabolism of lipids, carbohydrates and proteins, stress response, fluid and electrolyte balance, as well as the maintenance of immunological, renal and skeletal homeostasis. There is a need to find agents that preserve the immune effects of GCs without side effects such as those affecting metabolism (diabetes), bone tissue (osteoporosis), muscles (myopathy), eyes and skin. DISCUSSION: In this review, we focus on the use of recent computational approaches in glucocorticoid receptor (GR) drug-design efforts for the determination of novel GR ligands. We examine a number of structure-based (e.g., homology modeling and docking) studies that have been implemented and evaluate their success. CONCLUSION: By the end of 2008, there had been limited achievements utilizing docking studies and no published successes in the area of virtual high-throughput screening. However, the availability of novel crystal structures and the use of induced-fit docking protocols are improving docking success rates and promising to aid the future delivery of nonsteroidal ligands.

Rational ligand-based virtual screening and structure-activity relationship studies in the ligand-binding domain of the glucocorticoid receptor-α.

The interest in developing synthetic glucocorticoids (GCs) arises from the utility of endogenous steroids as potent anti-inflammatory and immunosuppressant agents. The first GCs to be discovered, such as cortisol or dexamethasone, still represent the main treatment for conditions of the inflammatory process, despite the fact that they carry a significant risk of side effects. Hence, there is a continuing need to find drugs that preserve the immune effects of GCs without the side effects, such as those on metabolism (diabetes), bone tissue (osteoporosis), muscles (myopathy), eyes and skin. In this review, we focus on the recent use of ligand-based computational approaches in glucocorticoid receptor (GR) drug-design efforts for the determination of novel GR ligands. We examine a number of ligand-based (similarity searches, pharmacophore screens and quantitative structure-activity relationships) approaches that have been implemented in recent years. A recent virtual high-throughput screening similarity search was successful in developing a novel series of nonsteroidal GR antagonists. Additionally, there has been considerable success in ligand-based structure-analysis relationship generation and lead optimization studies for the GR. Future trends toward integrated GR ligand design incorporating ligand- and structure-based methodologies are inevitable.

STI-571 (imatinib mesylate) enhances the apoptotic efficacy of pyrrolo-1,5-benzoxazepine-6, a novel microtubule-targeting agent, in both STI-571-sensitive and -resistant Bcr-Abl-positive human chronic myeloid leukemia cells.

Interactions between the Bcr-Abl kinase inhibitor STI-571 (imatinib mesylate) and a novel microtubule-targeting agent (MTA), pyrrolo-1,5-benzoxazepine (PBOX)-6, were investigated in STI-571-sensitive and -resistant human chronic myeloid leukemia (CML) cells. Cotreatment of PBOX-6 with STI-571 induced significantly more apoptosis in Bcr-Abl-positive CML cell lines (K562 and LAMA-84) than either drug alone (P < 0.01). Cell cycle analysis of propidium iodide-stained cells showed that STI-571 significantly reduced PBOX-6-induced G2M arrest and polyploid formation with a concomitant increase in apoptosis. Similar results were obtained in K562 CML cells using lead MTAs (paclitaxel and nocodazole) in combination with STI-571. Potentiation of PBOX-6-induced apoptosis by STI-571 was specific to Bcr-Abl-positive leukemia cells with no cytoxic effects observed on normal peripheral blood cells. The combined treatment of STI-571 and PBOX-6 was associated with the down-regulation of Bcr-Abl and repression of proteins involved in Bcr-Abl transformation, namely the antiapoptotic proteins Bcl-x(L) and Mcl-1. Importantly, PBOX-6/STI-571 combinations were also effective in STI-571-resistant cells. Together, these findings highlight the potential clinical benefits in simultaneously targeting the microtubules and the Bcr-Abl oncoprotein in STI-571-sensitive and -resistant CML cells.

Permuting input for more effective sampling of 3D conformer space.

SMILES strings and other classic 2D structural formats offer a convenient way to represent molecules as a simplistic connection table, with the inherent advantages of ease of handling and storage. In the context of virtual screening, chemical databases to be screened are often initially represented by canonicalised SMILES strings that can be filtered and pre-processed in a number of ways, resulting in molecules that occupy similar regions of chemical space to active compounds of a therapeutic target. A wide variety of software exists to convert molecules into SMILES format, namely, Mol2smi (Daylight Inc.), MOE (Chemical Computing Group) and Babel (Openeye Scientific Software). Depending on the algorithm employed, the atoms of a SMILES string defining a molecule can be ordered differently. Upon conversion to 3D coordinates they result in the production of ostensibly the same molecule. In this work we show how different permutations of a SMILES string can affect conformer generation, affecting reliability and repeatability of the results. Furthermore, we propose a novel procedure for the generation of conformers, taking advantage of the permutation of the input strings--both SMILES and other 2D formats, leading to more effective sampling of conformation space in output, and also implementing fingerprint and principal component analyses step to post process and visualise the results.

Identification of tubulin as the molecular target of proapoptotic pyrrolo-1,5-benzoxazepines.

We have demonstrated previously that certain members of a series of novel pyrrolo-1,5-benzoxazepine (PBOX) compounds potently induce apoptosis in a variety of human chemotherapy-resistant cancer cell lines and in primary ex vivo material derived from cancer patients. A better understanding of the molecular mechanisms underlying the apoptotic effects of these PBOX compounds is essential to their development as antineoplastic therapeutic agents. This study sought to test the hypothesis that proapoptotic PBOX compounds target the microtubules. We show that a representative proapoptotic PBOX compound, PBOX-6, induces apoptosis in both the MCF-7 and K562 cell lines. An accumulation of cells in G2/M precedes apoptosis in response to PBOX-6. PBOX-6 induces prometaphase arrest and causes an accumulation of cyclin B1 levels and activation of cyclin B1/CDK1 kinase in a manner similar to that of two representative antimicrotubule agents, nocodazole and paclitaxel. Indirect immunofluorescence demonstrates that both PBOX-6 and another pro-apoptotic PBOX compound, PBOX-15, cause microtubule depolymerization in MCF-7 cells. They also inhibit the assembly of purified tubulin in vitro, whereas a nonapoptotic PBOX compound (PBOX-21) has no effect on either the cellular microtubule network or on the assembly of purified tubulin. This suggests that the molecular target of the pro-apoptotic PBOX compounds is tubulin. PBOX-6 does not bind to either the vinblastine or the colchicine binding site on tubulin, suggesting that it binds to an as-yet-uncharacterised novel site on tubulin. The ability of PBOX-6 to bind tubulin and cause microtubule depolymerization confirms it as a novel candidate for antineoplastic therapy.