Balanced Permeability Index: A Multiparameter Index for Improved In Vitro Permeability.

The optimization of passive permeability is a key objective for orally available small molecule drug candidates. For drugs targeting the central nervous system (CNS), minimizing P-gp-mediated efflux is an additional important target for optimization. The physicochemical properties most strongly associated with high passive permeability and lower P-gp efflux are size, polarity, and lipophilicity. In this study, a new metric called the Balanced Permeability Index (BPI) was developed that combines these three properties. The BPI was found to be more effective than any single property in classifying molecules based on their permeability and efflux across a diverse range of chemicals and assays. BPI is easy to understand, allowing researchers to make decisions about which properties to prioritize during the drug development process.

Development of a Predictive Multiple Reaction Monitoring (MRM) Model for High-Throughput ADME Analyses Using Learning-to-Rank (LTR) Techniques.

Multiple Reaction Monitoring (MRM) is an important MS/MS technique commonly used in drug discovery and development, allowing for the selective and sensitive quantification of compounds in complex matrices. However, compound optimization can be resource intensive and requires experimental determination of product ions for each compound. In this study, we developed a Learning-to-Rank (LTR) model to predict the product ions directly from compound structures, eliminating the requirement for MRM optimization experiments. Experimentally determined MRM conditions for 5757 compounds were used to develop the model. Using the MassChemSite software, theoretical fragments and their mass-to-charge ratios were generated, which were then matched to the experimental product ions to create a data set. Each possible fragment was ranked based on its intensity in the experimental data. Different LTR models were built on a training split. Hyperparameter selection was performed using 5-fold cross validation. The models were evaluated using the Normalized Discounted Cumulative Gain at top k (NDCG@k) and the Coverage at top k (Coverage@k) metrics. Finally, the model was applied to predict MRM conditions for a prospective set of 235 compounds in high-throughput Caco-2 permeability and metabolic stability assays, and quantification results were compared to those obtained with experimentally acquired MRM conditions. The LTR model achieved a NDCG@5 of 0.732 and Coverage@5 of 0.841 on the validation split, and its predictions led to 97% of biologically equivalent results in the Caco-2 permeability and metabolic stability assays.

Synthesis of Bicyclo[1.1.0]butanes from Iodo-Bicyclo[1.1.1]pentanes.

We describe a two-step process for the synthesis of substituted bicyclo[1.1.0]butanes. A photo-Hunsdiecker reaction generates iodo-bicyclo[1.1.1]pentanes under metal-free conditions at room temperature. These intermediates react with nitrogen and sulfur nucleophiles to afford substituted bicyclo[1.1.0]butane products.

Comprehensive characterization and optimization of Caco-2 cells enabled the development of a miniaturized 96-well permeability assay.

Assessment of compound permeability through a Caco-2 cell monolayer is a well-accepted model to evaluate its in-vivo permeability potential and transporter interaction. While this assay has commonly been conducted using a 24-well assay plate format, a miniaturised 96-well assay format is highly desirable to achieve greater capacity and higher efficiency.Previous attempts to convert this assay from 24-well to 96-well format at our lab, however, had met with varied efflux capacities and unacceptable efflux ratios for digoxin, a substrate of P-glycoprotein (Pgp), which indicated inadequate Pgp transporter expression in the 96-well format.These challenges in converting the assays were attributed to the heterogeneous and unstable nature of the Caco-2 cells. To overcome the challenges, single-cell sorting of Caco-2 cells was conducted by flow cytometry to obtain a more homogeneous and stable cell population. The sorted cells were then seeded to 96-well transwell plates and the Pgp expression under various cell culture conditions was monitored by a LC-MS/MS-based targeted proteomics method.Through cell sorting and direct Pgp expression measurement, Caco-2 cells with adequate and sustained Pgp expression in a 96-well format were obtained, which led to the successful development and implementation of a 96-well Caco-2 assay with significant efficiency gain and faster turnaround time than the historical 24-well assay.

Intact Protein Mass Spectrometry of Cell Culture Harvest Guides Cell Line Development for Trispecific Antibodies.

IgG-like multispecific antibodies with asymmetric constructs have become widely used formats for therapeutic applications in recent years. Correct assembly of the subunits in this class of therapeutics is a critical quality attribute (CQA) with direct impact on biological activity. Therefore, early drug development efforts such as clone selection during cell line development must be guided by information on potential chain mispairing to enable timely decision making and risk mitigation. Here we describe a high-throughput analytical platform based on denaturing size-exclusion ultraperformance liquid chromatography (UPLC) coupled with intact protein mass spectrometry for profiling of mispairing and other product-related impurities, including half antibodies. This method can be performed directly on the clarified cell culture harvest fluid without the need for Protein A purification or other sample preparations and provides unbiased information on the product quality of the clones and the effect of growth conditions in a fast and cost-effective manner. Screening large numbers of clones expressing different trispecific antibody (tsAb) constructs revealed that although chain mispairing primarily depends on the antibody sequence and structure, it is also a characteristic of the clone. In addition, different growth conditions may affect the type and distribution of half antibodies and mispaired species impurities but not the quality ranking of the clones.

Discovery of Pyridazinone and Pyrazolo[1,5-a]pyridine Inhibitors of C-Terminal Src Kinase.

C-terminal Src kinase (CSK) functions as a negative regulator of T cell activation through inhibitory phosphorylation of LCK, so inhibitors of CSK are of interest as potential immuno-oncology agents. Screening of an internal kinase inhibitor collection identified pyridazinone lead 1, and a series of modifications led to optimized compound 13. Compound 13 showed potent activity in biochemical and cellular assays in vitro and demonstrated the ability to increase T cell proliferation induced by T cell receptor signaling. Compound 13 gave extended exposure in mice upon oral dosing and produced a functional response (decrease in LCK phosphorylation) in mouse spleens at 6 h post dose.

Addition of Optimized Bovine Serum Albumin Level in a High-Throughput Caco-2 Assay Enabled Accurate Permeability Assessment for Lipophilic Compounds.

The Caco-2 permeability assay is a well-accepted in vitro model to evaluate compounds' potential for oral absorption at early discovery. However, for many lipophilic compounds, no meaningful Caco-2 data could be generated due to their low solubility in assay buffer and/or poor recovery from the assay. In our previous study, we reported an organic catch approach to improve compound recovery. To further reduce compound loss and increase solubility in aqueous buffer, we explored the addition of bovine serum albumin (BSA). However, in contrast to the commonly used BSA level at 4%, a lower level of BSA was selected in an effort to minimize the potential risk of missing the identification of efflux substrates, and to avoid the extensive sample cleanup needed for 4% BSA. Through a systematic evaluation, it was found that 0.5% BSA was effective in enhancing compound solubility and reducing nonspecific binding, which allowed reliable assessment of the permeability and efflux potential for lipophilic compounds. Also, with an optimized sample handling process, no extra sample cleanup was required before liquid chromatography-mass spectrometry (LC-MS) analysis. The implementation of this assay has enabled accurate permeability assessment for compounds that had poor solubility and/or poor mass balance under the non-BSA assay conditions.

Synthesis and SAR of 1,2,3,4-Tetrahydroisoquinoline-Based CXCR4 Antagonists.

CXCR4 is the most common chemokine receptor expressed on the surface of many cancer cell types. In comparison to normal cells, cancer cells overexpress CXCR4, which correlates with cancer cell metastasis, angiogenesis, and tumor growth. CXCR4 antagonists can potentially diminish the viability of cancer cells by interfering with CXCL12-mediated pro-survival signaling and by inhibiting chemotaxis. Herein, we describe a series of CXCR4 antagonists that are derived from (S)-5,6,7,8-tetrahydroquinolin-8-amine that has prevailed in the literature. This series removes the rigidity and chirality of the tetrahydroquinoline providing 2-(aminomethyl)pyridine analogs, which are more readily accessible and exhibit improved liver microsomal stability. The medicinal chemistry strategy and biological properties are described.

Development, optimization and implementation of a centralized metabolic soft spot assay.

AIM: High clearance is a commonly encountered issue in drug discovery. Here we present a centralized metabolic soft spot identification assay with adequate capacity and turnaround time to support the metabolic optimization needs of an entire discovery organization. METHODOLOGY: An integrated quan/qual approach utilizing both an orthogonal sample-pooling methodology and software-assisted structure elucidation was developed to enable the assay. Major metabolic soft spots in liver microsomes (rodent and human) were generated in a batch mode, along with kinetics of parent disappearance and metabolite formation, typically within 1 week of incubation. RESULTS & CONCLUSION: A centralized metabolic soft spot identification assay has been developed and has successfully impacted discovery project teams in mitigating instability and establishing potential structure-metabolism relationships.

Recent developments in software tools for high-throughput in vitro ADME support with high-resolution MS.

The last several years have seen the rapid adoption of the high-resolution MS (HRMS) for bioanalytical support of high throughput in vitro ADME profiling. Many capable software tools have been developed and refined to process quantitative HRMS bioanalysis data for ADME samples with excellent performance. Additionally, new software applications specifically designed for quan/qual soft spot identification workflows using HRMS have greatly enhanced the quality and efficiency of the structure elucidation process for high throughput metabolite ID in early in vitro ADME profiling. Finally, novel approaches in data acquisition and compression, as well as tools for transferring, archiving and retrieving HRMS data, are being continuously refined to tackle the issue of large data file size typical for HRMS analyses.

Approach to improve compound recovery in a high-throughput Caco-2 permeability assay supported by liquid chromatography-tandem mass spectrometry.

The Caco-2 cell culture system is widely employed as an in vitro model for prediction of intestinal absorption of test compounds in early drug discovery. Poor recovery is a commonly encountered issue in Caco-2 assay, which can lead to difficulty in data interpretation and underestimation of the apparent permeability of affected compounds. In this study, we systematically investigated the potential sources of compound loss in our automated, high-throughput Caco-2 assay, sample storage, and analysis processes, and as a result found the nonspecific binding to various plastic surfaces to be the major cause of poor compound recovery. To minimize the nonspecific binding, we implemented a simple and practical approach in our assay automation by preloading collection plates with organic solvent containing internal standard prior to transferring incubations samples. The implementation of this new method has been shown to significantly increase recovery in many compounds previously identified as having poor recovery in the Caco-2 permeability assay. With improved recovery, permeability results were obtained for many compounds that were previously not detected in the basolateral samples. In addition to recovery improvement, this new approach also simplified sample preparation for liquid chromatography-tandem mass spectrometric analysis and therefore achieved time and cost savings for the bioanalyst.

A comprehensive platform for quality control of botanical drugs (PhytomicsQC): a case study of Huangqin Tang (HQT) and PHY906.

BACKGROUND: Establishing botanical extracts as globally-accepted polychemical medicines and a new paradigm for disease treatment, requires the development of high-level quality control metrics. Based on comprehensive chemical and biological fingerprints correlated with pharmacology, we propose a general approach called PhytomicsQC to botanical quality control. METHODS: Incorporating the state-of-the-art analytical methodologies, PhytomicsQC was employed in this study and included the use of liquid chromatography/mass spectrometry (LC/MS) for chemical characterization and chemical fingerprinting, differential cellular gene expression for bioresponse fingerprinting and animal pharmacology for in vivo validation. A statistical pattern comparison method, Phytomics Similarity Index (PSI), based on intensities and intensity ratios, was used to determine the similarity of the chemical and bioresponse fingerprints among different manufactured batches. RESULTS: Eighteen batch samples of Huangqin Tang (HQT) and its pharmaceutical grade version (PHY906) were analyzed using the PhytomicsQC platform analysis. Comparative analysis of the batch samples with a clinically tested standardized batch obtained values of PSI similarity between 0.67 and 0.99. CONCLUSION: With rigorous quality control using analytically sensitive and comprehensive chemical and biological fingerprinting, botanical formulations manufactured under standardized manufacturing protocols can produce highly consistent batches of products.

The influence of sequence context and length on the kinetics of DNA duplex formation from complementary hairpins possessing (CNG) repeats.

The formation of unusual structures during DNA replication has been invoked for gene expansion in genomes possessing triplet repeat sequences, CNG, where N = A, C, G, or T. In particular, it has been suggested that the daughter strand of the leading strand partially dissociates from the parent strand and forms a hairpin. The equilibrium between the fully duplexed parent:daugter species and the parent:hairpin species is dependent upon their relative stabilities and the rates of reannealing of the daughter strand back to the parent. These stabilities and rates are ultimately influenced by the sequence context of the DNA and its length. Previous work has demonstrated that longer strands are more stable than shorter strands and that the identity of N also influences the thermal stability [Paiva, A. M.; Sheardy, R. D. Biochemistry 2004, 43, 14218-14227]. Here, we show that the rate of duplex formation from complementary hairpins is also sequence context and length dependent. In particular, longer duplexes have higher activation energies than shorter duplexes of the same sequence context. Further, [(CCG):(GGC)] duplexes have lower activation energies than corresponding [(CAG):(GTC)] duplexes of the same length. Hence, hairpins formed from long CNG sequences are more thermodynamically stable and have slower kinetics for reannealing to their complement than shorter analogues. Gene expansion can now be explained in terms of thermodynamics and kinetics.

Influence of sequence context and length on the structure and stability of triplet repeat DNA oligomers.

Genetic expansion diseases have been linked to the properties of triplet repeat DNA sequences during replication. The most common triplet repeats associated with such diseases are CAG, CCG, CGG, and CTG. It has been suggested that gene expansion occurs as a result of hairpin formation of long stretches of these sequences on the leading daughter strand synthesized during DNA replication [Gellibolian, R., Bacolla, A., and Wells, R. D. (1997) J. Biol. Chem. 272, 16793-7]. To test the biophysical basis for this model, oligonucleotides of general sequence (CNG)(n), where N = A, C, G, or T and n = 4, 5, 10, 15, or 25, were synthesized and characterized by circular dichroism (CD) spectropolarimetry, optical melting studies, and differential scanning calorimetry (DSC). The goal of these studies was to evaluate the influence of sequence context and oligomer length on their secondary structures and stabilities. The results indicate that all single oligomers, even those as short as 12 nucleotides, form stable hairpin structures at 25 degrees C. Such hairpins are characterized by the presence of N:N mismatched base pairs sandwiched between G:C base pairs in the stems and loops of three to four unpaired bases. Thermodynamic analysis of these structures reveals that their stabilities are influenced by both the sequence of the particular oligomer and its length. Specifically, the stability order of CGG > CTG > CAG > CCG was observed. In addition, longer oligomers were found to be more stable than shorter oligomers of the same sequence. However, a stability plateau above 45 nucleotides suggests that the length dependence reaches a maximum value where the stability of the G:C base pairs can no longer compensate the instability of the N:N mismatches in the stems of the hairpins. The results are discussed in terms of the above model proposed for gene expansion.