Combinatorial chemistry, automation and molecular diversity: new trends in the pharmaceutical industry

A robotic system for automated chemical synthesis of therapeutic agents

The development of novel compounds for tissue-specific targeting and imaging is often impeded by a lack of lead compounds and the availability of reliable chemistry. Automated chemical synthesis systems provide a potential solution by enabling reliable, repeated access to large compound libraries for screening. Here we report an integrated solid-phase combinatorial chemistry system created using commercial and customized robots. Our goal is to optimize reaction parameters, such as varying temperature, shaking, microwave irradiation, aspirating and dispensing large-sized solid beads, and handling different washing solvents for separation and purification. This automated system accommodates diverse chemical reactions such as peptide synthesis and conventional coupling reactions. To confirm its functionality and reproducibility, 20 nerve-specific contrast agents for biomedical imaging were systematically and repeatedly synthesized and compared to other nerve-targeted agents using molecular fingerprinting and Uniform Manifold Approximation and Projection, which lays the foundation for creating reliable and reproductive chemical libraries in bioimaging and nanomedicine.

End-to-End Automated Synthesis of C(sp3)-Enriched Drug-like Molecules via Negishi Coupling and Novel, Automated Liquid-Liquid Extraction

Herein, we report an end-to-end process including synthesis, work-up, purification, and post-purification with minimal human intervention using Negishi coupling as a key transformation to increase Fsp3 in bioactive molecules. The main advantages of this protocol are twofold. First, the automated sequential generation of organozinc reagents from readily available alkyl halides offers a large diversity of alkyl groups to functionalize (hetero)aryl halide scaffolds via Pd-catalyzed Negishi coupling in continuous flow. Second, a fully automated liquid-liquid extraction has been developed and successfully applied for unattended operations. The workflow was completed with mass-triggered preparative high-performance liquid chromatography HPLC, providing an efficient production line of compounds with enriched sp3 character and better drug-like properties. The modular nature allows a smooth adaptation to a wide variety of synthetic methods and protocols and makes it applicable to any medchem laboratory.

Shedding a light on the physical stability of suspensions micronised with intensified vibratory milling; A trend observed with decreasing particle size as a function of time

Intensified vibratory milling is a nanonisation and micronisation technology which can be used to enable the oral bioavailability of poorly soluble compounds. The generated nano- and microsuspensions entail a large surface area which enhances the compounds dissolution rate, yet this large surface area is thermodynamically unfavourable and hence spontaneous destabilisation may occur, i.e. physical instability. Stability studies on suspensions manufactured via intensified vibratory milling have, to the best of our knowledge, not been reported in the literature before. An extended stability study was, therefore, executed with 30 bedaquiline suspensions milled with the intensified vibratory mill under various process settings. The particle size distribution was measured immediately after production, after four weeks of storage at 5 °C and after eleven weeks of storage at 5 °C with laser diffraction and scanning electron microscopy. In addition, a caking test was applied to scrutinise the redispersibility of the prevailing sediments. One sample whose sediment proved to be redisperible, demonstrated a peculiar trend during storage where a narrowing of the particle size distribution and a general particle size reduction was detected which opposed the conventional stability tendencies, i.e. stability or Ostwald ripening. This enigmatic trend was further explored via a repetitive analysis with laser diffraction and in a further phase, with an orthogonal particle sizing technique. Still, no matter the frequency nor technique, a narrowing particle size distribution was observed. To the best of our knowledge, this article, for the first time in the pharmaceutical literature, reports a narrowing particle size distribution of a micronised suspension containing an organic compound. Inevitably, this trend might shed a fundamental new light on the stability trends, exposed by suspensions post-micronisation by high energy milling.

Implementing parallel arithmetic via acetylation and its application to chemical image processing

Chemical mixtures can be leveraged to store large amounts of data in a highly compact form and have the potential for massive scalability owing to the use of large-scale molecular libraries. With the parallelism that comes from having many species available, chemical-based memory can also provide the physical substrate for computation with increased throughput. Here, we represent non-binary matrices in chemical solutions and perform multiple matrix multiplications and additions, in parallel, using chemical reactions. As a case study, we demonstrate image processing, in which small greyscale images are encoded in chemical mixtures and kernel-based convolutions are performed using phenol acetylation reactions. In these experiments, we use the measured concentrations of reaction products (phenyl acetates) to reconstruct the output image. In addition, we establish the chemical criteria required to realize chemical image processing and validate reaction-based multiplication. Most importantly, this work shows that fundamental arithmetic operations can be reliably carried out with chemical reactions. Our approach could serve as a basis for developing more advanced chemical computing architectures.

Design and validation of a frugal, automated, solid-phase peptide synthesizer

Solid phase peptide synthesis (SPPS) has enabled widespread use of synthetic peptides in applications ranging from pharmaceuticals to materials science. The demand for synthetic peptides has driven recent efforts to produce automated SPPS synthesizers which utilize fluid-handling components common to chemistry laboratories to drive costs down to several thousand dollars. Herein, we describe the design and validation of a more 'frugal' SPPS synthesizer that uses inexpensive, consumer-grade fluid-handling components to achieve a prototype price point between US$300 and $600. We demonstrated functionality by preparing and characterizing peptides with a variety of distinct properties including binding functionality, nanoscale self-assembly, and oxidation-induced fluorescence. This system yielded micromoles of peptide at a cost of approximately $1/residue, a cost which may be further reduced by optimization and bulk purchasing.

Antimalarial and cytotoxic activities of chiral triamines

Chiral triamine antimalarial compounds have been identified following the screening of mixture-based positional scanning libraries made up of 31,320 compounds against P. falciparum. The library, namely N-methyl triamine (TPI 762) was generated following exhaustive reduction of resin-bound acylated dipeptides. Using the PSCL approach, individual compounds were rapidly identified which were only 10 times less active than the standard drugs chloroquine (CQ) and Artemisinin (Artes).

CCLab--a multi-objective genetic algorithm based combinatorial library design software and an application for histone deacetylase inhibitor design

The introduction of the multi-objective optimization has dramatically changed the virtual combinatorial library design, which can consider many objectives simultaneously, such as synthesis cost and drug-likeness, thus may increase positive rates of biological active compounds. Here we described a software called CCLab (Combinatorial Chemistry Laboratory) for combinatorial library design based on the multi-objective genetic algorithm. Tests of the convergence ability and the ratio to re-take the building blocks in the reference library were conducted to assess the software in silico, and then it was applied to a real case of designing a 5×6 HDAC inhibitor library. Sixteen compounds in the resulted library were synthesized, and the histone deactetylase (HDAC) enzymatic assays proved that 14 compounds showed inhibitory ratios more than 50% against tested 3 HDAC enzymes at concentration of 20 μg/mL, with IC(50) values of 3 compounds comparable to SAHA. These results demonstrated that the CCLab software could enhance the hit rates of the designed library and would be beneficial for medicinal chemists to design focused library in drug development (the software can be downloaded at: http://202.127.30.184:8080/drugdesign.html).

High-throughput process development for recombinant protein purification

Methods development in chromatographic purification processes is a complex operation and has traditionally relied on trial and error approaches. The availability of a large number of commercial media, choice of different modes of chromatography, and diverse operating conditions contribute to the challenging task of accelerating methods development. In this paper, we describe a novel microtiter-plate based screening method to identify the appropriate sequence of chromatographic steps that result in high purities of bioproducts from their respective culture broths. Protein mixtures containing the bioproduct were loaded on aliquots of different chromatographic media in microtiter plates. Serial step elution of the proteins, in concert with bioproduct-specific assays, resulted in the identification of "active fractions" containing the bioproduct. The identification of a successful chromatographic step was based on the purity of the active fractions, which were then pooled and used as starting material for screening the next chromatographic dimension. This procedure was repeated across subsequent dimensions until single band purities of the protein were obtained. The sequence of chromatographic steps and the corresponding operating conditions identified from the screen were validated under scaled-up conditions. Various modes of chromatography including hydrophobic interaction, ion exchange (cation and anion exchange) and hydrophobic charge-induction chromatography (HCIC), and different operating conditions (pH, salt concentration and type, etc.) were employed in the screen. This approach was employed to determine the sequence of chromatographic steps for the purification of recombinant alpha-amylase from its cell-free culture broth. Recommendations from the screen resulted in single-band purity of the protein under scaled-up conditions. Similar results were observed for an scFv-beta-lactamase fusion protein. The use of a miniaturized screen enables the parallel screening of a wide variety of actual bioprocess media and conditions and represents a novel paradigm approach for the high-throughput process development of recombinant proteins.

Structural change in response to ligand binding

The minutiae of subtle changes that occur in response to ligand binding in multiprotein complexes are often difficult to assess without resource to high resolution X-ray analysis. Recent developments in mass spectrometry, however, are providing insight into dynamic changes within components. In this article we review recent applications of MS for selection of ligands and definition of their binding characteristics for individual protein targets through to macromolecular complexes such as ribosomes.

Affinity chromatography techniques based on the immobilisation of peptides exhibiting specific binding activity

Affinity chromatography is one of the powerful techniques in selective purification and isolation of a great number of compounds. New challenges in scientific research, such as high-throughput systems, isolation procedures that allow to obtain a single substance from a complex matrix in high degree of purity, low costs and wide availability, have led to the discovery of new tailor-made synthetic recognition systems. In this review the design, synthesis, purification and characterisation of peptides with recognition properties are discussed. Applications of peptide ligands are described and analytical tools mentioned.

Parallel screening of selective and high-affinity displacers for proteins in ion-exchange systems

This paper employs a parallel batch screening technique for the identification of both selective and high-affinity displacers for a model binary mixture of proteins in a cation-exchange system. A variety of molecules were screened as possible displacers for the proteins ribonuclease A (RNAseA) and alpha-chymotrypsinogen A (alpha-chyA) on high performance Sepharose SP. The batch screening data for each protein was used to select leads for selective and high-affinity displacers and column experiments were carried out to evaluate the performance of the selected leads. The data from the batch displacements was also employed to generate quantitative structure-efficacy relationship (QSER) models based on a support vector machine regression approach. The resulting models had high correlation coefficients and were able to predict the behaviour of molecules not included in the training set. The descriptors selected in the QSER models for both proteins were examined to provide insights into factors influencing displacer selectivity in ion-exchange systems. The results presented in this paper demonstrate that this parallel batch screening-QSER approach can be employed for the identification of selective and high-affinity displacers for protein mixtures.

NMDA receptor antagonist effects, cortical glutamatergic function, and schizophrenia: toward a paradigm shift in medication development

There is an urgent need to improve the pharmacotherapy of schizophrenia despite the introduction of important new medications. New treatment insights may come from appreciating the therapeutic implications of model psychoses. In particular, basic and clinical studies have employed the N-methyl-D-aspartate (NMDA) glutamate receptor antagonist, ketamine, as a probe of NMDA receptor contributions to cognition and behavior. These studies illustrate a translational neuroscience approach for probing mechanistic hypotheses related to the neurobiology and treatment of schizophrenia and other disorders. Two particular pathophysiologic themes associated with schizophrenia, the disturbance of cortical connectivity and the disinhibition of glutamatergic activity may be modeled by the administration of NMDA receptor antagonists. The purpose of this review is to consider the possibility that agents that attenuate these two components of NMDA receptor antagonist response may play complementary roles in the treatment of schizophrenia.

High-performance thin-layer chromatography method for assessment of the quality of combinatorial libraries, and comparison with liquid chromatography-ultraviolet-mass spectrometry

A high-performance thin-layer chromatography (HPTLC) method was developed for fast evaluation of the purity of solid-phase synthesis products. The results obtained were in good agreement with results obtained by the LC-MS method (r(2) = 0.8404) or by the LC-UV method (r(2) = 0.8053), confirming the suitability of HPTLC for purity analysis of combinatorial syntheses. The synthesis products can be quantified and identified by measuring UV densitograms or in situ UV spectra or by ESI-MS after isolation of the zone of interest. A new, simple, and fast method for transferring the zone of the analyte from the plate to the ESI-MS equipment is described. The new HPTLC method enables rapid and efficient analysis of approximately 40 samples in parallel. As such, it offers a cheaper and easier way to analyze the purity of synthesis products than the commonly used LC-UV-MS.

Solid-phase peptide synthesis by ion-paired alpha-chymotrypsin in nonaqueous media

Solid-phase synthesis of dipeptides in low-water media was achieved using AOT ion-paired alpha-chymotrypsin solubilized in organic solvents. Multiple solvents and systematic variation of water activity, a(w), were used to examine the rate of coupling between N-alpha-benzyloxycarbonyl-L-phenylalanine methyl ester (Z-Phe-OMe) and leucine as a function of the reaction medium for both solid-phase and solution-phase reactions. In solution, the observed maximum reaction rate in a given solvent generally correlated with measures of hydrophobicity such as the log of the 1-octanol/water partitioning coefficient (log P) and the Hildebrand solubility parameter. The maximum rate for solution-phase synthesis (13 mmol/h g-enzyme) was obtained in a 90/10 (v/v) isooctane/tetrahydrofuran solvent mixture at an a(w) of 0.30. For the synthesis of dipeptides from solid-phase leucine residues, the highest synthetic rates (0.14-1.3 mmol/h g-enzyme) were confined to solvent environments that fell inside abruptly defined regions of solvent parameter space (e.g., log P > 2.3 and normalized electron acceptance index <0.13). The maximum rate for solid-phase synthesis was obtained in a 90/10 (v/v) isooctane/tetrahydrofuran solvent mixture at an a(w) of 0.14. In 90/10 and 70/30 (v/v) isooctane/tetrahydrofuran environments with a(w) set to 0.14, seven different N-protected dipeptides were synthesized on commercially available Tentagel support with yields of 74-98% in 24 h.

High-throughput screening and quantitative structure-efficacy relationship models of potential displacer molecules for ion-exchange systems

A technique is presented for the high-throughput screening of ion-exchange displacers. Potential displacers were employed to displace proteins in parallel batch ion-exchange experiments. The percentage of protein displaced from a particular stationary phase was then used as a parameter to rank the displacers. By employing this technique, a large number of molecules possessing a range of affinities and properties could be rapidly evaluated. This data was then used together with traditional and electron density-based transferable atom equivalent (TAE) molecular descriptors computed for the displacer molecules to produce quantitative structure-efficacy relationship (QSER) models using a genetic algorithm/partial least squares (GA/PLS) regression approach. The QSER models were generated using a portion of the protein-displacement data, with the remainder serving as a test set. Descriptor selection and model building was accomplished using a genetic algorithm/partial least squares approach. The resulting models were found to have high-correlation coefficients and could be used to accurately predict the behavior of molecules not included in the training set. In addition, the models were employed to examine a virtual library of displacers based on modifications of neomycin to provide further insight into displacer design. The results presented here indicate that it may be possible to design displacers that can dramatically improve the effective selectivity of ion-exchange chromatographic materials.

Database mining applied to central nervous system (CNS) activity

A data set of 389 compounds, active in the central nervous system (CNS) and divided into eight classes according to the receptor type, was extracted from the RBI database and analyzed by Self-Organizing Maps (SOM), also known as Kohonen Artificial Neural Networks. This method gives a 2D representation of the distribution of the compounds in the hyperspace derived from their molecular descriptors. As SOM belongs to the category of unsupervised techniques, it has to be combined with another method in order to generate classification models with predictive ability. The fuzzy clustering (FC) approach seems to be particularly suitable to delineate clusters in a rational way from SOM and to get an automatic objective map interpretation. Maps derived by SOM showed specific regions associated with a unique receptor type and zones in which two or more activity classes are nested. Then, the modeling ability of the proposed SOM/FC Hybrid System tools applied simultaneously to eight activity classes was validated after dividing the 389 compounds into a training set and a test set, including 259 and 130 molecules, respectively. The proper experimental activity class, among the eight possible ones, was predicted simultaneously and correctly for 81% of the test set compounds.

Mass spectrometry and immobilized enzymes for the screening of inhibitor libraries

A technique has been developed to rapidly screen enzyme inhibitor candidates from complex mixtures, such as those created by combinatorial synthesis. Inhibitor libraries are screened by using immobilized enzyme technologies and electrospray ionization ion cyclotron resonance mass spectrometry. The library mixture is first sprayed into the mass spectrometer, and compounds are identified. The library is subsequently incubated with the immobilized enzyme of interest under the correct conditions (buffer, pH, temperature) by using an excess of enzyme to ensure a surplus of sites for ligand binding. The immobilized enzyme/inhibitor mixture is centrifuged, and an aliquot of supernatant is again analyzed by electrospray ionization mass spectrometry. Potential inhibitors are quickly identified by comparison of the spectra before and after incubation with the immobilized enzyme. Non-inhibitors show no change in ion intensity after incubation, whereas weak inhibitors exhibit a visible decrease in ion abundance. Once inhibitor candidates have been identified, the library is reinjected into the mass spectrometer, and tandem mass spectrometry is used to determine the structure of the inhibitor candidates as needed. This method has been successfully demonstrated by identifying inhibitors of the enzymes pepsin and glutathione S-transferase from a 19- and 17-component library, respectively. It is further shown that the immobilized enzyme can be recycled and reused for continuous screening of additional new libraries without adding additional enzyme.