Current application of mass spectrometry to combinatorial chemistry

Reaction Tracking and High-Throughput Screening of Active Compounds in Combinatorial Chemistry by Tandem Mass Spectrometry Molecular Networking

Combinatorial synthesis has been widely used as an efficient strategy to screen for active compounds. Mass spectrometry is the method of choice in the identification of hits resulting from high-throughput screenings due to its high sensitivity, specificity, and speed. However, manual data processing of mass spectrometry data, especially for structurally diverse products in combinatorial chemistry, is extremely time-consuming and one of the bottlenecks in this process. In this study, we demonstrated the effectiveness of a tandem mass spectrometry molecular networking-based strategy for product identification, reaction dynamics monitoring, and active compound targeting in combinatorial synthesis. Molecular networking connects compounds with similar tandem mass spectra into a cluster and has been widely used in natural products analysis. We show that both the expected and side products can be readily characterized using molecular networking based on their mass spectrometry fragmentation patterns. Additionally, time-dependent molecular networking was integrated to track reaction dynamics to determine the optimal reaction time to maximize target product yields. We also present a proof-of-concept experiment that successfully identified and isolated active molecules from a dynamic combinatorial library. These results demonstrated the potential of using molecular networking for identifying, tracking, and high-throughput screening of active compounds in combinatorial synthesis.

High-Throughput Screening Application for the Determination of Enantiomeric Excess Using ESI-MS

Methods for the rapid determination of the enantiomeric excess (ee%) of organic substrates, especially for HTS, are often the “bottleneck” in a process. For this purpose, a new process of entirely automated sample preparation and the determination of ee% using electrospray ionization-mass spectrometry (ESI-MS) has been developed. Various substrates and new auxiliaries were explored to enhance the methodical scope. In combination with a very versatile liquid-handling system (HTS-PAL) and a comprehensive processing equipment, a multitude of standardized reaction vessels can be managed with the presented system. As an example of use, the ee% determination of I-phenylethanole via ESI-MS is compared to state-of-the-art GC analysis. In addition, a HTS suitable data processing network was constructed that allows postrun data manipulation and the automated data transfer to analysis and visualization templates with a maximum amount of automation.

The characterization of selected drugs with infrared laser desorption/tunable synchrotron vacuum ultraviolet photoionization mass spectrometry

Some selected drugs including captopril, fudosteine and racecadotril have been analyzed by infrared (IR) laser desorption/tunable synchrotron vacuum ultraviolet (VUV) photoionization mass spectrometry (PIMS). The molecular ions of captopril and racecadotril are exclusively observed without any fragments at near threshold single-photon ionization (SPI). However, fudosteine easily forms fragments even at a photon energy near the ionization threshold, indicating the instability of its molecular ion. For these drugs, a number of fragments are yielded with the increase of photon energy. The structures of such fragments proposed by IR LD/VUV PIMS are supported by electron ionization time-of-flight mass spectrometry (EI-TOFMS) results. Fragmentation pathways are discussed in detail.

High throughput P450 inhibition screens in early drug discovery

This review of high throughput (HT) P450 inhibition technologies and their impact on early drug discovery finds the field at a mature stage. The relationship between P450 inhibition and drug-drug interactions is well understood. A wide variety of P450 inhibition detection technologies are readily available off-the-shelf, but what seems still to be missing is a general agreement on how much weight one should give to the various types of early discovery HT P450 inhibition data. Method-dependent potency differences are a cause of concern, and to resolve this issue the authors advocate calibration of the HT methods with a large set of marketed drugs.

Bacterial surface display library screening by target enzyme labeling: Identification of new human cathepsin G inhibitors

The aim of this study was to establish a new tool for screening surface displayed peptide libraries based on the idea that cells expressing an enzyme inhibitor at the surface can be specifically labeled by the target enzyme. For this purpose peptide P15, exhibiting a K(i) value of 0.25 microM toward human cathepsin G, was expressed on the Escherichia coli cell surface by the use of Autodisplay. Purified cathepsin G was coupled to biotin and incubated with cells expressing the inhibitor. After addition of streptavidin-fluorescein isothiocyanate, these cells could be clearly differentiated from control cells by whole-cell fluorescence using flow cytometer analysis. To determine whether this protocol can be used for the sorting of single cells, a mixed population of cells with and without inhibitor was treated accordingly. Single cells were selected by increased fluorescence and sorted using fluorescence-activated cell sorting (FACS). Single cell clones were obtained and subjected to DNA sequence analysis. It turned out that the bacteria selected by this protocol displayed the correct peptide inhibitor at the cell surface. The protocol was then used to screen random peptide libraries, expressed at the cell surface, and a new lead structure for human cathepsin G (IC50 = 11.7 microM) was identified. The new drug discovery tool presented here consists of three steps: (a) surface display of peptide libraries, (b) selection of single cells with inhibiting structures by using the inherent affinity of the target enzyme, and (c) sorting of single cells, which were labeled by FACS.

Application of main component fraction collection method for purification of compound libraries

In order to support high-throughput library purification, a novel UV triggered fraction collection method was developed in which a maximum-seeking-algorithm-driven, six-port valve collects the largest chromatographic peak. This straightforward strategy achieves the one sample-one fraction approach, thus resulting in a simpler and less error prone workup procedure. The effectiveness of this main component fraction collection method will be illustrated here by the results of the purification of compound libraries (altogether 6086 compounds, having an averaged success rate of 79.4%). Advanced applications, where the desired component differs from the main component, will also be discussed.

High-throughput characterization and quality control of small-molecule combinatorial libraries

To fully realize the potential of combinatorial synthesis and high-throughput screening for increasing the efficiency of the drug discovery and development process, issues related to compound purity must be addressed. Impurities, often present after synthesis, can lead to ambiguous screening results and inhibit the development of quality structure-activity relationships. The demand for high-throughput analytical characterization of combinatorial libraries has prompted the development of more rapid methods to keep pace with compound production. Recent progress has focused upon the development of parallel separation methods, multiplexed detector interfaces, and synergistic combinations of different detectors possessing complementary selectivities.

Multidimensional separations in the pharmaceutical arena

The introduction of novel, powerful and rapid multidimensional separation and characterization methods has produced revolutionary global changes at the genome, proteome and metabolome level, bringing about a radical transition in our views of living systems, at the molecular level. The age of proteomics and metabolomics demands high-resolution multidimensional separation techniques. Multidimensional gas and liquid chromatography techniques, in addition to capillary and microchip electrophoresis methods, offer increased resolution and sensitivity, while also affording adequate throughput and reproducibility to meet the demands of the modern pharmaceutical industry. Coupled with MS, these techniques provide not only separation but also reliable identification of the sample components. The resolving power of these methods has proved to be superior over individual one-dimensional approaches, enabling the comprehensive separation of complex biological mixtures, with excellent resolution and reproducibility. High capacity computer systems that are capable of rigorous qualitative and quantitative analysis of the separation profiles allow the establishment and mining of large databases. Examples of various modern multidimensional separation techniques, and their integration with MS, are reviewed, here, with respect to pharmaceutical analysis.

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.