Chemical Series Research Articles

Development of non-sedating benzodiazepines with in vivo antischistosomal activity.

The neglected tropical disease schistosomiasis infects over 200 million people worldwide and is treated with just one broad-spectrum antiparasitic drug (praziquantel). Alternative drugs are needed in the event of emerging praziquantel resistance or treatment failure. One promising lead that has shown efficacy in animal models and a human clinical trial is the benzodiazepine meclonazepam, discovered by Roche in the 1970s. Meclonazepam was not brought to market because of dose-limiting sedative side effects. However, the human target of meclonazepam that causes sedation (GABAARs) is not orthologous to the parasite targets that cause worm death. Therefore, we were interested in whether the structure of meclonazepam could be modified to produce antiparasitic benzodiazepines that do not cause host sedation. We synthesized 18 meclonazepam derivatives with modifications at different positions on the benzodiazepine ring system and tested them for in vitro antiparasitic activity. This identified five compounds that progressed to in vivo screening in a murine model, two of which cured parasite infections with comparable potency to meclonazepam. When these two compounds were administered to mice that were run on the rotarod test, both were less sedating than meclonazepam. These findings demonstrate the proof of concept that meclonazepam analogs can be designed with an improved therapeutic index and point to the C3 position of the benzodiazepine ring system as a logical site for further structure-activity exploration to further optimize this chemical series.

A novel 7-phenoxy-benzimidazole derivative as a potent and orally available BRD4 inhibitor for the treatment of melanoma

The bromodomain-containing protein 4 (BRD4), which is a key epigenetic regulator in cancer, has emerged as an attractive target for the treatment of melanoma. In this study, we investigate 7-phenoxy-benzimidazole derivative 12, which is a novel BRD4 inhibitor for the treatment of melanoma, by performing scaffold hopping on the previously reported benzimidazole derivative 1. Despite their good oral and intravenous exposure, the compounds obtained by modifying derivate 1 exhibit mutagenicity, which was confirmed by the positive Ames test results. Based on our hypothesis that the cause of the Ames test positivity is the metabolic intermediates generated from those chemical series, we implemented a scaffold hopping strategy to avoid the N-benzyl moiety by relocating the substituent groups to preserve the essential interaction. Based on this strategy, we successfully obtained compound 12; the Ames test results of this compound were negative. Notably, compound 12 not only exhibited a favorable pharmacokinetic (PK) profile but also significant tumor growth inhibition in a mouse melanoma xenograft model, indicating its potential as a therapeutic agent for the treatment of melanoma.

Identification of novel small molecule-based strategies of COL7A1 upregulation and readthrough activity for the treatment of recessive dystrophic epidermolysis bullosa

Recessive dystrophic epidermolysis bullosa (RDEB) is a rare genetic disease caused by loss of function mutations in the gene coding for collagen VII (C7) due to deficient or absent C7 expression. This disrupts structural and functional skin architecture, leading to blistering, chronic wounds, inflammation, important systemic symptoms affecting the mouth, gastrointestinal tract, cornea, and kidney function, and an increased skin cancer risk. RDEB patients have an extremely poor quality of life and often die at an early age. A frequent class of mutations in RDEB is premature termination codons (PTC), which appear in homozygosity or compound heterozygosity with other mutations. RDEB has no cure and current therapies are mostly palliative. Using patient-derived keratinocytes and a library of 8273 small molecules and 20,160 microbial extracts evaluated in a phenotypic screening interrogating C7 levels, we identified three active chemical series. Two of these series had PTC readthrough activity, and one upregulated C7 mRNA, showing synergistic activity when combined with the reference readthrough molecule gentamicin. These compounds represent novel potential small molecule-based systemic strategies that could complement topical-based treatments for RDEB.

Balancing Molecular Size, Activity, Permeability, and Other Properties: Drug Candidates in the Context of Their Chemical Structure Optimization.

Chemical structure optimization is a vital part of early drug discovery projects. Starting with compounds that show activity on the target of interest, the chemical structures are subsequently optimized toward a development candidate (DC) molecule with the best chances of clinical success. However, the DCs in the context of such optimization programs, as well as detailed characterization of major limiting factors, have not been investigated in detail so far. Here, we report an analysis of the historical DC molecules at Novartis since 2005 in the context of their optimization projects. Mapping the DCs into their respective chemical optimization series, we find that these tend to be synthesized rather early in a substantial number of cases. Further analysis of structural properties, ADMET, and potency-related readouts revealed that DC compounds tend to be generally significantly smaller, more permeable, and have higher ligand efficiency than other compounds sent to in vivo PK studies, which we also show for compounds from the same chemical series. Although this might seem obvious to most practitioners in medicinal chemistry, for all of these properties, we could show that they tend to evolve in an undesired direction during structure optimization. This highlights the difficulty of successfully translating our knowledge to medicinal chemistry optimizations.

Non-Fermi-liquid behavior consistent with a preasymptotic disorder-tuned ferromagnetic quantum critical point in the heavy fermion system CeTi1−xVxGe3

An investigation of the thermodynamic and electrical transport properties of the isoelectronic chemical substitution series CeTi1−xVxGe3 (CTVG) single crystals is reported. As x increases, the ferromagnetic (FM) transition temperature is suppressed, reaching absolute zero at the critical concentration x=0.4, where a non-Fermi-liquid low-temperature specific heat and electrical resistivity, as well as the hyperscaling of specific heat and magnetization, are found. Our study suggests the presence of an FM quantum critical point (QCP) in CTVG. The obtained critical exponents indicate that CTVG falls in the preasymptotic region of the disorder-tuned FM QCP predicted by the Belitz-Kirkpatrick-Vojta theory. Published by the American Physical Society 2024

Activation of Hepatocyte Growth Factor/MET Signaling as a Mechanism of Acquired Resistance to a Novel YAP1/TEAD Small Molecule Inhibitor.

Many tumor types harbor alterations in the Hippo pathway, including mesothelioma, where a high percentage of cases are considered YAP1/TEAD dependent. Identification of autopalmitoylation sites in the hydrophobic palmitate pocket of TEADs, which may be necessary for YAP1 protein interactions, has enabled modern drug discovery platforms to generate compounds that allosterically inhibit YAP1/TEAD complex formation and transcriptional activity. We report the discovery and characterization of a novel YAP1/TEAD inhibitor MRK-A from an aryl ether chemical series demonstrating potent and specific inhibition of YAP1/TEAD activity. In vivo, MRK-A showed a favorable tolerability profile in mice and demonstrated pharmacokinetics suitable for twice daily oral dosing in preclinical efficacy studies. Importantly, monotherapeutic targeting of YAP1/TEAD in preclinical models generated regressions in a mesothelioma CDX model; however, rapid resistance to therapy was observed. RNA-sequencing of resistant tumors revealed mRNA expression changes correlated with the resistance state and a marked increase of hepatocyte growth factor (HGF) expression. In vitro, exogenous HGF was able to fully rescue cytostasis induced by MRK-A in mesothelioma cell lines. In addition, co-administration of small molecule inhibitors of the MET receptor tyrosine kinase suppressed the resistance generating effect of HGF on MRK-A induced growth inhibition. In this work, we report the structure and characterization of MRK-A, demonstrating potent and specific inhibition of YAP1/TAZ-TEAD-mediated transcriptional responses, with potential implications for treating malignancies driven by altered Hippo signaling, including factors resulting in acquired drug resistance.

Automated Chemical Tilt Series in STEM

Automated Chemical Tilt Series in STEM

VEXP: A virtual enhanced cross screen panel for off-target pharmacology alerts

We describe the development of the GSK vEXP (virtual enhanced cross screen panel) for off-target pharmacology alerts. The derivation of a panel of machine learning classification models or QSAR models (Quantitative Structure-Activity Relationship) for off-target safety assessment allows early alerting to risk factors in candidate drugs. The models are matched to an internal in-vitro biochemical screening panel described previously with some updates reported here. The extreme imbalance of some internal GSK datasets and most of the related external ChEMBL datasets is shown when considering potency thresholds relevant to in-vitro screening. The small size and bias to the active class make many ChEMBL datasets un-modellable using such thresholds. Although larger, many GSK datasets remain too imbalanced to give a performant model. The value of merging internal and external data to help rebalance datasets and improve the domain of applicability is demonstrated with improvements in model performance frequently seen on merged data. Efforts to collate public datasets with a far better balance of the missing in-actives would likely do more to improve opensource models than simply increasing dataset size. We investigate the use of moving the probability threshold and applying imbalanced learners to help overcome the imbalance problem. Both methods can produce models with improved performance when applied to imbalanced datasets. Datasets with class imbalance 95:5 % or with <100 compounds were un-modellable. Where datasets had a class imbalance of 90:10 % the imbalanced learn methods were often more performant than standard tree-based classifiers. No one classification algorithm consistently out-performed all others and our approach emphasises a standardised, automated build and evaluate approach across all classifiers to identify the best model. The application of vEXP includes ranking of hit compounds for fast prioritisation, flagging of hit series that contain systematic scaffold or functional group related risks and the confirmation that late-stage optimisation is not introducing new off-target activities in established chemical series.

Identification of Potent ADCK3 Inhibitors through Structure-Based Virtual Screening.

ADCK3 is a member of the UbiB family of atypical protein kinases in humans, with homologues in archaea, bacteria, and eukaryotes. In lieu of protein kinase activity, ADCK3 plays a role in the biosynthesis of coenzyme Q10 (CoQ10), and inactivating mutations can cause a CoQ10 deficiency and ataxia. However, the exact functions of ADCK3 are still unclear, and small-molecule inhibitors could be useful as chemical probes to elucidate its molecular mechanisms. In this study, we applied structure-based virtual screening (VS) to discover a novel chemical series of ADCK3 inhibitors. Through extensive structural analysis of the active-site residues, we developed a pharmacophore model and applied it to a large-scale VS. Out of ∼170,000 compounds virtually screened, 800 top-ranking candidate compounds were selected and tested in both ADCK3 and p38 biochemical assays for hit validation. In total, 129 compounds were confirmed as ADCK3 inhibitors, and among them, 114 compounds are selective against p38, which was used as a counter-target. Molecular dynamics (MD) simulations were then conducted to predict the binding modes of the most potent compounds within the ADCK3 active site. Through metadynamics analysis, we successfully detected the key amino acid residues that govern intermolecular interactions. The findings provided in this study can serve as a promising starting point for drug development.

Discovering the volatilome fingerprint of selected traditional Cuban wines elaborated with native grapes, tropical fruits, and rice using DHS-TD-GC-MS.

Cuban wine is a traditional alcoholic beverage elaborated with a wide variety of raw materials, such as native grapes, tropical fruits, and rice, and different winemaking processes. Research on Cuban wines is almost nonexistent, and therefore, a study of these wines is necessary to improve their quality. Dynamic headspace (DHS)-TD-gas chromatography-mass spectrometry (GC-MS) analysis was carried out to establish the different aroma fingerprints of different Cuban wines. A total of 42 volatile aroma metabolites (VAMs) were identified, including esters, alcohols, aldehydes, acids, volatile phenols, terpenes, and lactones. The odorant activity values (OAV) of each VAM were obtained, and the esters were the most relevant group due to their highest OAV. Ethyl octanoate, hexanoate, and butanoate stand out and are considered key odorants in the aromatic fingerprint. The VAMs were grouped into seven aromatic series. Fruity series showed the highest OAVs due to the contribution of ethyl esters and acetates. Principal component analysis was used to identify the specific parameters most accurately reflecting the differences between the wines. Showing that fruity, spicy, and chemical aromatic series allow distinguishing the wines into three aroma types. These results may provide useful information for the selection of raw materials and optimization of the traditional winemaking processes of Cuban wines. PRACTICAL APPLICATION: This research contributes to knowledge of the aroma and the oenological parameters of traditional and selected Cuban wines (rice wine, tropical fruit wine, and native grape varieties). The establishing of the aroma fingerprint of these wines provides useful information for the industrial development of a quality product that may then be promoted in other areas of the world.

Abstract A003: Unwinding the complexities of helicases as compelling drug targets in oncology

Abstract In recent years, helicases have moved to the forefront of research as novel drug targets for a variety of human diseases, including cancer. As critical components of the cell cycle and DNA repair, these enzymes offer an attractive point of therapeutic intervention. Recent bioinformatic endeavours such as the Cancer DepMap have further highlighted the essentiality of these proteins in the progression of numerous cancers. Inhibitors of Werner helicase (WRN) entered Phase I evaluation in 2023, after studies highlighted its role in tumours with microsatellite instability (MSI) and impaired mismatch repair (MMR). Building on these advances, helicases now represent a significant drug target class and are the subject of intense research. However, these targets present significant complexities in their prosecution. Hit finding and robust validation of these putative active compounds remains challenging, with high attrition rates and significant sensitivity to false positives. Resultant hits require thorough biological characterisation via both biochemical and biophysical methods, alongside determination of selectivity against other closely related family members, to increase confidence in their provenance before commencing a detailed drug discovery project. To exemplify these approaches, we have profiled three commercially available WRN inhibitors from two chemical series through a selection of biochemical and biophysical assays. The three compounds exhibit excellent selectivity against 6 distinct helicase/translocase targets. In Michaelis-Menten mechanism of Inhibition studies, we defined contrasting mechanisms of inhibition for the two series and were also able to identify time dependent inhibition with one compound series. Analysing binding interactions of the compounds against protein and protein:substrate complexes, via a fluorescent thermal shift assay (FTSA) and microscale thermophoresis (MST), enabled us to further understand and interrogate the mechanism of inhibition. Herein, we describe some of our experiences, learnings and best practices when prosecuting these compelling, but challenging, targets. Citation Format: Yael Mamane, Zoe Caple, Katie Chapman, Ian Henderson, Allan Jordan, Vanessa Lyne, Cynthia Okoye, Laurent Rigoreau, Ganesh Kadamur, Stuart Thomson, Chris Tomlinson, Jana Wolf. Unwinding the complexities of helicases as compelling drug targets in oncology [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr A003.

Abstract PO5-27-09: Pharmacological eIF4E inhibition suppresses anti-tumor activity in ER+ breast cancer

Abstract Elevated levels of eukaryotic initiation factor 4E (eIF4E) are found in a broad range of cancers, including breast, and have been associated with aggressive, drug resistant tumors. Furthermore, elevated eIF4E activity is sufficient to cause transformation in various cancers, while inhibition suppresses tumor growth. eIF4E, the main regulator and rate limiting factor of protein synthesis, is the downstream integrator of several important oncogenic signaling pathways (PI3K/AKT/mTOR, Ras/Raf/MEK, and Myc). Activation of eIF4E results in increased protein levels of key proliferation and metabolism proteins such as Cyclin D1 (CCND1) and Ornithine Decarboxylase 1 (ODC1), as well as an overall increase in cellular synthesis machinery, causing cellular growth and proliferation. Here, we describe the development and characterization of novel, potent, and selective eIF4E inhibitors. Compounds from this chemical series have nanomolar activity in multiple biochemical and biophysical m7G cap-competition assays as well as potent inhibition of translation in cellular and biochemical assays. In cells, these compounds rapidly and reversibly decrease protein levels of several oncogenes, including CCND1, leading to a G1 cell cycle arrest. We demonstrate that eIF4E inhibitors cause growth inhibition in a variety of breast cancer cell lines, including ER+ breast cancer. These inhibitors also inhibit growth of breast cancer lines with acquired resistance to Palbociclib with the same potency as the parental cell lines. Additionally, eIF4E inhibition shows an increased sensitivity in resistant cell lines when combined with standard of care (SOC), including Palbociclib. Select analogs from the series demonstrate favorable ADMET/PK properties with good oral bioavailability and low safety risk. Lastly, these compounds have demonstrated near complete tumor growth inhibition in non-breast cancer in vivo models. Ongoing experiments will address in vivo efficacy in ER+ breast cancer in both monotherapy and in combination with SOC. Citation Format: Matthew Friedersdorf, Devon Blake, Sarah Thompson, Krista Marran, Jessica Sorrentino. Pharmacological eIF4E inhibition suppresses anti-tumor activity in ER+ breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-27-09.

A mountaineering strategy to excited states: Accurate vertical transition energies and benchmarks for substituted benzenes.

In an effort to expand the existing QUEST database of accurate vertical transition energies [Véril et al.WIREs Comput.Mol.Sci. 2021, 11, e1517], we have modeled more than 100 electronic excited states of different natures (local, charge-transfer, Rydberg, singlet, and triplet) in a dozen of mono- and di-substituted benzenes, including aniline, benzonitrile, chlorobenzene, fluorobenzene, nitrobenzene, among others. To establish theoretical best estimates for these vertical excitation energies, we have employed advanced coupled-cluster methods including iterative triples (CC3 and CCSDT) and, when technically possible, iterative quadruples (CC4). These high-level computational approaches provide a robust foundation for benchmarking a series of popular wave function methods. The evaluated methods all include contributions from double excitations (ADC(2), CC2, CCSD, CIS(D), EOM-MP2, STEOM-CCSD), along with schemes that also incorporate perturbative or iterative triples (ADC(3), CCSDR(3), CCSD(T)(a) , and CCSDT-3). This systematic exploration not only broadens the scope of the QUEST database but also facilitates a rigorous assessment of different theoretical approaches in the framework of a homologous chemical series, offering valuable insights into the accuracy and reliability of these methods in such cases. We found that both ADC(2.5) and CCSDT-3 can provide very consistent estimates, whereas among less expensive methods SCS-CC2 is likely the most effective approach. Importantly, we show that some lower order methods may offer reasonable trends in the homologous series while providing quite large average errors, and vice versa. Consequently, benchmarking the accuracy of a model based solely on absolute transition energies may not be meaningful for applications involving a series of similar compounds.

Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns

This study explores how machine-learning can be used to predict chromatographic retention times (RT) for the analysis of small molecules, with the objective of identifying a machine-learning framework with the robustness required to support a chemical synthesis production platform. We used internally generated data from high-throughput parallel synthesis in context of pharmaceutical drug discovery projects. We tested machine-learning models from the following frameworks: XGBoost, ChemProp, and DeepChem, using a dataset of 7552 small molecules. Our findings show that two specific models, AttentiveFP and ChemProp, performed better than XGBoost and a regular neural network in predicting RT accurately. We also assessed how well these models performed over time and found that molecular graph neural networks consistently gave accurate predictions for new chemical series. In addition, when we applied ChemProp on the publicly available METLIN SMRT dataset, it performed impressively with an average error of 38.70 s. These results highlight the efficacy of molecular graph neural networks, especially ChemProp, in diverse RT prediction scenarios, thereby enhancing the efficiency of chromatographic analysis.

Abstract LB171: First-in-class inhibitors of the tRNA methyltransferase METTL1 for the treatment of cancer

Abstract METTL1 is an RNA methyltransferase that catalyzes N7-methylation on guanine at position 46 (m7G46) in a subset of transfer RNAs (tRNAs). These tRNAs are stabilized by m7G46, and this increases the translation of mRNAs containing the cognate codons. METTL1 is often over-expressed in cancer tissue, and its gene locus is frequently amplified in specific tumor types. Recent studies have shown that reducing METTL1 expression leads to tumor growth inhibition highlighting this enzyme as a potential novel target for anti-cancer drugs. We optimized small molecule inhibitors of METTL1 from a HTS hit using structure-guided medicinal chemistry. Representative compounds of two distinct chemical series exhibit potent in vitro METTL1 inhibition at low nanomolar concentrations while displaying exquisite selectivity over other RNA and protein methyltransferases. The effects of inhibiting METTL1 were measured by cellular mechanistic assays and modification-induced misincorporation tRNA sequencing (mim-tRNAseq). As expected, pharmacological inhibition led to decreased m7G46 methylation, lower levels of a subgroup of tRNAs and reduced cancer cell proliferation.The efficacy of METTL1 inhibition in a panel of cancer cell lines representing a wide range of solid and hematologic tumor types was determined. Cell proliferation was impaired in a subset of cell lines originating from various cancer types, including lymphoma, sarcoma, esophageal squamous cell carcinoma, glioblastoma, colorectal and lung adenocarcinoma. Importantly, viability was not affected in non-transformed cell lines, indicating a highly selective mechanism of action. The phenotypic consequences of METTL1 inhibition in selected cell lines were further investigated by flow cytometry and western blotting. Cell lines sensitive to METTL1 inhibition displayed reduced cell cycle progression and lowered expression of cell cycle regulators. RNA sequencing and proteome analyses identified molecular changes at both transcript and protein level. METTL1 inhibition led to induction of ATF4 expression and activation of the integrated stress response, as well as global changes to the translation machinery. Studies on cell-line derived xenograft or syngeneic in vivo mouse models were conducted to assess tumor growth inhibition after oral or intraperitoneal administration of the potent METTL1 small molecule inhibitor STM9005. Inhibition of METTL1 by this compound reduced tumor growth in both immune-deficient and immune-competent mouse models, effects accompanied by dose-dependent changes in pharmacodynamic biomarkers. Here, we describe the discovery of first-in-class inhibitors of METTL1 tRNA methyltransferase. To our knowledge, our data provide the first evidence that pharmacological inhibition of a tRNA methyltransferase reduces tumor growth in vivo. Citation Format: Alexandra Sapetschnig, Beth Thomas, Eliza Yankova, Harry Fischl, Aleksandra Azevedo, Sarah Bucknell, Richard Fosbeary, Sapphire Sawyer, Sian Evans, Carmen Livi, Byron Andrews, Jack Rogan, Natalie Webster, Matthew Fyfe, Konstantinos Tzelepis, Oliver Rausch. First-in-class inhibitors of the tRNA methyltransferase METTL1 for the treatment of cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB171.

Inhibitors of the Thioesterase Activity of Mycobacterium tuberculosis Pks13 Discovered Using DNA-Encoded Chemical Library Screening.

DNA-encoded chemical library (DEL) technology provides a time- and cost-efficient method to simultaneously screen billions of compounds for their affinity to a protein target of interest. Here we report its use to identify a novel chemical series of inhibitors of the thioesterase activity of polyketide synthase 13 (Pks13) from Mycobacterium tuberculosis (Mtb). We present three chemically distinct series of inhibitors along with their enzymatic and Mtb whole cell potency, the measure of on-target activity in cells, and the crystal structures of inhibitor-enzyme complexes illuminating their interactions with the active site of the enzyme. One of these inhibitors showed a favorable pharmacokinetic profile and demonstrated efficacy in an acute mouse model of tuberculosis (TB) infection. These findings and assay developments will aid in the advancement of TB drug discovery.

High-throughput screening of small-molecules libraries identified antibacterials against clinically relevant multidrug-resistant A. baumannii and K. pneumoniae

The current pipeline for new antibiotics fails to fully address the significant threat posed by drug-resistant Gram-negative bacteria that have been identified by the World Health Organization (WHO) as a global health priority. New antibacterials acting through novel mechanisms of action are urgently needed. We aimed to identify new chemical entities (NCEs) with activity against Klebsiella pneumoniae and Acinetobacter baumannii that could be developed into a new treatment for drug-resistant infections. We developed a high-throughput phenotypic screen and selection cascade for generation of hit compounds active against multidrug-resistant (MDR) strains of K.pneumoniae and A.baumannii. We screened compound libraries selected from the proprietary collections of three pharmaceutical companies that had exited antibacterial drug discovery but continued to accumulate new compounds to their collection. Compounds from two out of three libraries were selected using "eNTRy rules" criteria associated with increased likelihood of intracellular accumulation in Escherichia coli. We identified 72 compounds with confirmed activity against K.pneumoniae and/or drug-resistant A.baumannii. Two new chemical series with activity against XDR A.baumannii were identified meeting our criteria of potency (EC50≤50μM) and absence of cytotoxicity (HepG2 CC50≥100μM and red blood cell lysis HC50≥100μM). The activity of close analogues of the two chemical series was also determined against A.baumannii clinical isolates. This work provides proof of principle for the screening strategy developed to identify NCEs with antibacterial activity against multidrug-resistant critical priority pathogens such as K.pneumoniae and A.baumannii. The screening and hit selection cascade established here provide an excellent foundation for further screening of new compound libraries to identify high quality starting points for new antibacterial lead generation projects. BMBF and GARDP.

Abstract 6590: Novel WRN helicase inhibitors selectively target microsatellite unstable cancer cells

Abstract Microsatellite-unstable (MSI) cancers depend on the WRN helicase to resolve replication stress from expanded (TA)-dinucleotide repeats. WRN is a promising synthetic lethal target for MSI tumours and WRN inhibitors are being developed. Here, we used CRISPR-Cas9 base editing to map WRN residues critical for MSI synthetic lethality, validating the helicase domain as the primary target and guiding inhibitor discovery. Fragment-based screening led to the discovery of potent and highly selective WRN helicase covalent inhibitors from the same chemical series. These compounds strikingly and selectively suppressed MSI model growth in vitro and in vivo by mimicking genetic WRN loss, inducing DNA double-strand breaks at expanded TA repeats and DNA damage response. We characterized WRN inhibition across cancer cell lines and patient-derived tumour organoids, enabling biomarker assessment of TA-repeat expansions and MMR status to refine patient selection, with compound efficacy correlating with TA-repeat expansions in MSI cells. Efficacy was also confirmed in patient-derived organoids and PDX models refractory to immunotherapy. The discovery of potent and selective covalent WRN inhibitors provides proof-of-concept for targeting MSI cancers and provides tools to unlock the molecular dissection of the WRN biology and MSI synthetic lethality. Citation Format: Gabriele Picco, Yanhua Rao, Angham Al Saedi, Sara F. Vieira, Yang Lee, Ray Shenje, Shriram Bhosle, Samantha Walker, Kieron May, Carmen Herranz-Ors, Cansu Dicer, Freddy Gibson, Ruby Banerjee, Thilo Werner, Josh Cottom, Yang Peng, Nanhua Deng, Phil Landis, Thomas Angel, Jacob Bush, Matthew G. Rees, Melissa M. Ronan, Jennifer A. Roth, Howard Lightfoot, Francesca Zappacosta, Jonathan Pettinger, Syd Barthorpe, Chris Eberl, Brian Jones, Jess Schneck, Dennis Murphy, Josh Taygerly, Mike DeMartino, Matthew Coelho, Jon Houseley, Benjamin Schwartz, Mathew J. Garnett. Novel WRN helicase inhibitors selectively target microsatellite unstable cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6590.

Abstract 7264: OPN-9840, a non-covalent potent pan-TEAD inhibitor, exhibits single agent efficacy in preclinical malignant mesothelioma models

Abstract The Hippo pathway regulates critical cellular processes during development. In ~10% of human cancers, Hippo pathway dysregulation results in YAP/TAZ overactivation and increased TEAD-dependent transcription that promotes tumor growth and therapy resistance - often by supporting drug-tolerant persister survival. In 40% of malignant mesotheliomas (MM), neurofibromatosis 2 (NF2) gene mutations inactivate the Merlin protein, an upstream negative regulator of TEAD. Preclinical studies indicate high TEAD dependency in NF2-mutant MM. We have discovered an array of potent covalent and non-covalent small molecule inhibitors that occupy the palmitate-binding pocket of TEAD proteins, with varying paralog selectivity profiles. OPN-9840 is an oral non-covalent pan-TEAD inhibitor displaying dose-dependent and on-target in vitro and in vivo efficacy for NCI-H226, an NF2-mutant MM cell line. OPN-9840 showed equivalent binding in thermal shift assays (10°C delta Tm) for depalmitoylated TEAD1-4 proteins, and blocked TEAD reporter activity (IC50 100nM) and NCI-H226 cell growth (IC50 400nM). In an NCI-H226 xenograft model, OPN-9840 dosed orally for 14 days exhibited dose-dependent tumor growth inhibition (TGI) from 5 to 50 mg/kg PO (88 to &amp;gt;100% TGI) with tumor regression in the 15 (2/8 mice) and 50 mg/kg (4/8 mice) dose groups. qPCR of OPN-9840-treated tumors confirmed 50-70% downregulation of canonical TEAD targets, CTGF and CYR61. OPN-9840 shows a favorable safety profile, including a lack of cytotoxicity (IC50&amp;gt;50µM) in HEK293T and HepG2 cells. Additionally, OPN-9840 caused no body weight loss in the NCI-H226 xenograft model following 14 days of dosing. In vitro evaluation of OPN-9840 in the blood-brain barrier (BBB) specific parallel artificial membrane permeability assay exhibited high BBB penetration potential (-Log Pe = 4.7). High oral exposure was achieved at all dose levels (AUC0-24 &amp;gt; 100,000 h•ng/mL) after 14 days in the NCI-H226 study. We next investigated synergy between TEAD inhibition and targeted therapy in MM. Combined treatment of one of our pan-TEAD covalent compounds, OPN-9652 (from a separate chemical series to OPN-9840), at 50 mg/kg with 1 mg/kg trametinib resulted in NCI-H226 xenograft tumor regression (130% TGI) whereas trametinib alone only led to decreased tumor growth (74% TGI). RNA-Seq of treated tumors revealed that OPN-9652 and trametinib synergistically inhibited TEAD downstream target genes, including ANKRD1 and CTGF. OPN-9652 as a single agent caused significant downregulation of E2F targets, such as MYC and TP53, suggesting decreased proliferation. In summary, OPN-9840 is a potent pan-TEAD inhibitor that shows monotherapy efficacy in MM. As we observed synergy between another pan-TEAD inhibitor, OPN-9652, with trametinib, we are exploring synergy of OPN-9840 with additional targeted therapies in tumor types beyond MM. Citation Format: Pan-Yu Chen, Bernice Matusow, James Tsai, Peipei Li, Hoa Nguyen, Gaston Habets, Gideon Bollag, Somenath Chowdhury. OPN-9840, a non-covalent potent pan-TEAD inhibitor, exhibits single agent efficacy in preclinical malignant mesothelioma models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7264.

Abstract 5942: Discovery of WRN inhibitors as targeted therapy in the treatment of microsatellite unstable (MSI-H) tumors

Abstract The synthetic lethality resulting from the inhibition of the WRN helicase protein has been observed in tumors characterized by high levels of microsatellite instability (MSI-H). This instability stems from a deficiency in the DNA mismatch repair (MMR) mechanisms, leading to the accumulation of DNA damage. This phenomenon is notably prevalent in 10-30% of colorectal, gastric, endometrial, and ovarian cancers. Specifically, the inhibition of WRN helicase activity induces DNA damage leading to cell cycle arrest and apoptosis exclusively in MSI-H cell lines. This selectivity underscores the therapeutic potential of WRN inhibitors, as they demonstrate efficacy against MSI-H cells while remaining non-toxic to microsatellite stable (MSS) cell lines. Ryvu is developing a chemical series of potent, selective WRN helicase inhibitors. Structure-based optimization facilitated the rapid expansion and delivery of a compound library with novel intellectual property (IP), demonstrating target engagement in cells and selective potency over other RecQ family members. The correlation between the cellular effect and selectivity upon treatment with these ligands was confirmed in the clonogenic assay, specifically in responder, microsatellite instable cell lines only, thereby leaving a substantial safety margin (&amp;gt;100x) relative to non-responder, microsatellite stable lines. Target engagement has been confirmed by dose dependent DNA damage pathway activation concomitant with WRN degradation in in vitro assays. The pharmacokinetic properties of these compounds are favorable for progressing to in vivo studies. The correlation between compound exposure and on-target effect was confirmed in PK/PD and efficacy studies in xenograft MSI-H cancer models. These data provide pharmacological proof-of-concept for the synthetic lethal effect of our inhibitors and support WRN inhibition as a new oncological therapy. Citation Format: Wojciech Schönemann, Agnieszka Ludwig-Słomczyńska, Łukasz Dudek, Marcin Król, Marco Farinone, Urszula Kulesza, Wojciech Jasnosz, Izabela Mac, Karol Zuchowicz, Katarzyna Wierzbicka, Aleksandra Buchcic-Szychowska, Andrzej Gondela, Anna Zagórska, Oliwia Matuszewska, Marta Sowińska, Marcin Nowogródzki, Marianna Girardi, Szymon Paluch, Svitlana Sukhomlinova, Agata Chłopek, Iana Levenets, Kamila Kozłowska-Tomczyk, Katarzyna Łagosz-Ćwik, Mateusz Stoszko, Szymon Woroszyło, Maciej Mikulski, Justyna Jabłońska, Magdalena Wiśniewska, Katarzyna Palus-Chramiec, Paulina Podkalicka-Gołda, Anita Janiga, Sylwia Sudoł-Tałaj, Magdalena Sieprawska-Lupa, Magdalena Miodek, Jacek Faber, Róża Starczak, Bozena Winnik, Agnieszka Świrska, Anna Kowal-Chwast, Dawid Gogola, Sanja Novak Ratajczak, Agata Dudek, Nilesh Gaud, Grzegorz Satała, Agata Stachowicz, Martin Swarbrick, Krzysztof Brzózka, Magdalena I. Zawadzka. Discovery of WRN inhibitors as targeted therapy in the treatment of microsatellite unstable (MSI-H) tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5942.