Fragment-Based Discovery of a Series of Allosteric-Binding Site Modulators of ß-Glucocerebrosidase.

ß-Glucocerebrosidase (GBA/GCase) mutations leading to misfolded protein cause Gaucher's disease and are a major genetic risk factor for Parkinson's disease and dementia with Lewy bodies. The identification of small molecule pharmacological chaperones that can stabilize the misfolded protein and increase delivery of degradation-prone mutant GCase to the lysosome is a strategy under active investigation. Here, we describe the first use of fragment-based drug discovery (FBDD) to identify pharmacological chaperones of GCase. The fragment hits were identified by using X-ray crystallography and biophysical techniques. This work led to the discovery of a series of compounds that bind GCase with nM potency and positively modulate GCase activity in cells.

Biased ligand quantification in drug discovery: from theory to high throughput screening to identify new biased µ opioid receptor agonists.

BACKGROUND AND PURPOSE: Biased GPCR ligands are able to engage with their target receptor in a manner that preferentially activates distinct downstream signalling and offers potential for next generation therapeutics. However, accurate quantification of ligand bias in vitro is complex, and current best practice is not amenable for testing large numbers of compound. We have therefore sought to apply ligand bias theory to an industrial scale screening campaign for the identification of new biased µ receptor agonists. EXPERIMENTAL APPROACH: µ receptor assays with appropriate dynamic range were developed for both Gαi -dependent signalling and ß-arrestin2 recruitment. Δlog(Emax /EC50 ) analysis was validated as an alternative for the operational model of agonism in calculating pathway bias towards Gαi -dependent signalling. The analysis was applied to a high throughput screen to characterize the prevalence and nature of pathway bias among a diverse set of compounds with µ receptor agonist activity. KEY RESULTS: A high throughput screening campaign yielded 440 hits with greater than 10-fold bias relative to DAMGO. To validate these results, we quantified pathway bias of a subset of hits using the operational model of agonism. The high degree of correlation across these biased hits confirmed that Δlog(Emax /EC50 ) was a suitable method for identifying genuine biased ligands within a large collection of diverse compounds. CONCLUSIONS AND IMPLICATIONS: This work demonstrates that using Δlog(Emax /EC50 ), drug discovery can apply the concept of biased ligand quantification on a large scale and accelerate the deliberate discovery of novel therapeutics acting via this complex pharmacology.

Co-expression of GRK2 reveals a novel conformational state of the µ-opioid receptor.

Agonists at the µ-opioid receptor are known to produce potent analgesic responses in the clinical setting, therefore, an increased understanding of the molecular interactions of ligands at this receptor could lead to improved analgesics. As historically morphine has been shown to be a poor recruiter of ß-arrestin in recombinant cell systems and this can be overcome by the co-expression of GRK2, we investigated the effects of GRK2 co-expression, in a recombinant µ-opioid receptor cell line, on ligand affinity and intrinsic activity in both ß-arrestin recruitment and [(35)S]GTPγS binding assays. We also investigated the effect of receptor depletion in the ß-arrestin assay. GRK2 co-expression increased both agonist Emax and potency in the ß-arrestin assay. The increase in agonist potency could not be reversed using receptor depletion, supporting that the effects were due to a novel receptor conformation not system amplification. We also observed a small but significant effect on agonist KL values. Potency values in the [(35)S]GTPγS assay were unchanged; however, inverse agonist activity became evident with GRK2 co-expression. We conclude that this is direct evidence that the µ-opioid receptor is an allosteric protein and the co-expression of signalling molecules elicits changes in its conformation and thus ligand affinity. This has implications when describing how ligands interact with the receptor and how efficacy is determined.

Neuregulins 1-4 are expressed in the cytoplasm or nuclei of ductal carcinoma (in situ) of the human breast.

A new family of epidermal growth factor-like proteins, the Neuregulins (NRGs), have recently been identified and are expressed in a range of normal tissues and in some forms of cancer including breast cancer. In this study we examined using immunohistochemical staining expression of NRG1alpha, NRG1beta, NRG2alpha, NRG2beta, NRG3 and NRG4 in sixty cases of pre-invasive ductal carcinoma in situ of the breast representing different degrees of differentiation. Each protein was expressed in a high proportion of these cases showing a predominantly homogenous cytoplasmic staining pattern. Nuclear expression of NRG1alpha, NRG1beta, and NRG3 was however also observed in a significant fraction of cases. High levels of expression of NRG2beta and NRG4 were associated with high-grade tumours (p< or =0.005), NRG2beta staining was associated with tumour size >25 mm (p=0.005) while NRG3 nuclear staining was present more often in low-grade tumours (p=0.039). This data demonstrates that each member of the NRG family of ligands is present in pre-invasive ductal breast cancer and that they may be involved in regulating cell behaviour. The significance of intranuclear expression remains to be determined but suggests a novel mechanism of action for some of these proteins.