Discovery and optimisation of a selective non-steroidal glucocorticoid receptor antagonist.

High-throughput screening of 3.87 million compounds delivered a novel series of non-steroidal GR antagonists. Subsequent rounds of optimisation allowed progression from a non-selective ligand with a poor ADMET profile to an orally bioavailable, selective, stable, glucocorticoid receptor antagonist.

Approaches towards the automated interpretation and prediction of electrospray tandem mass spectra of non-peptidic combinatorial compounds.

Combinatorial chemistry is widely used within the pharmaceutical industry as a means of rapid identification of potential drugs. With the growth of combinatorial libraries, mass spectrometry (MS) became the key analytical technique because of its speed of analysis, sensitivity, accuracy and ability to be coupled with other analytical techniques. In the majority of cases, electrospray mass spectrometry (ES-MS) has become the default ionisation technique. However, due to the absence of fragment ions in the resulting spectra, tandem mass spectrometry (MS/MS) is required to provide structural information for the identification of an unknown analyte. This work discusses the first steps of an investigation into the fragmentation pathways taking place in electrospray tandem mass spectrometry. The ultimate goal for this project is to set general fragmentation rules for non-peptidic, pharmaceutical, combinatorial compounds. As an aid, an artificial intelligence (AI) software package is used to facilitate interpretation of the spectra. This initial study has focused on determining the fragmentation rules for some classes of compound types that fit the remit as outlined above. Based on studies carried out on several combinatorial libraries of these compounds, it was established that different classes of drug molecules follow unique fragmentation pathways. In addition to these general observations, the specific ionisation processes and the fragmentation pathways involved in the electrospray mass spectra of these systems were explored. The ultimate goal will be to incorporate our findings into the computer program and allow identification of an unknown, non-peptidic compound following insertion of its ES-MS/MS spectrum into the AI package. The work herein demonstrates the potential benefit of such an approach in addressing the issue of high-throughput, automated MS/MS data interpretation.

Fragmentation pathways of sulphonamides under electrospray tandem mass spectrometric conditions.

Sulphonamides are antibacterial compounds used extensively in farming and veterinary practice. Residues are commonly found in meat and milk. The growing concern about antibiotic resistance of bacteria led to a lowering of the legal concentration limits of sulphonamides in food. A range of analytical methods, employing tandem mass spectrometry (MS/MS) and selected reaction monitoring (SRM), have been developed to allow screening at the limit of detection (LOD) levels. Interest was drawn to the fragment ions produced by the sulphonamides, some involving complex rearrangements that have not previously been looked at. Here we report an investigation into the fragmentation pattern of sulphonamides under electrospray (ES) MS/MS conditions using ion trap and Fourier transform ion cyclotron resonance (FTICR) mass spectrometers. Structures are proposed for the main fragment ions observed for a range of sulphonamides, the effects of the functional groups in the dissociation pathway of the compounds are investigated, and the mechanisms leading to the main fragment ions are explored.