Trends in kinase drug discovery: targets, indications and inhibitor design

Thieno[3,2-b]pyridine: Attractive scaffold for highly selective inhibitors of underexplored protein kinases with variable binding mode

Protein kinases are key regulators of numerous biological processes and aberrant kinase activity can cause various diseases, particularly cancer. Herein, we report the identification of new series of highly selective kinase inhibitors based on the thieno[3,2-b]pyridine scaffold. The weak interaction of the thieno[3,2-b]pyridine core with the kinase hinge region allows for profoundly different binding modes all of which maintain high kinome-wide selectivity, as illustrated by the isomers MU1464 and MU1668. Thus, this core structure provides a template of ATP-competitive but not ATP-mimetic inhibitors that are anchored at the kinase back pocket. Mapping the chemical space around the central thieno[3,2-b]pyridine pharmacophore afforded highly selective inhibitors of the kinase Haspin, exemplified by the compound MU1920 that fulfils criteria for a quality chemical probe and is suitable for use in in vivo applications. However, despite the role of Haspin in mitosis, the inhibition of Haspin alone was not sufficient to elicit cytotoxic effect in cancer cells. The thieno[3,2-b]pyridine scaffold can be used in a broader context, as a basis of inhibitors targeting other underexplored protein kinases, such as CDKLs.

Acquired resistance to tyrosine kinase targeted therapy: mechanism and tackling strategies

Over the past two decades, tyrosine kinase inhibitors (TKIs) have rapidly emerged as pivotal targeted agents, offering promising therapeutic prospects for patients. However, as the cornerstone of targeted therapies, an increasing number of TKIs have been found to develop acquired resistance during treatment, making the challenge of overcoming this resistance a primary focus of current research. This review comprehensively examines the evolution of TKIs from multiple perspectives, with particular emphasis on the mechanisms underlying acquired resistance, innovative drug design strategies, inherent challenges, and future directions.

Exploring the landscape of post-translational modification in drug discovery

Post-translational modifications (PTMs) play a crucial role in regulating protein function, and their dysregulation is frequently associated with various diseases. The emergence of epigenetic drugs targeting factors such as histone deacetylases (HDACs) and histone methyltransferase enhancers of zeste homolog 2 (EZH2) has led to a significant shift towards precision medicine, offering new possibilities to overcome the limitations of traditional therapeutics. In this review, we aim to systematically explore how small molecules modulate PTMs. We discuss the direct targeting of enzymes involved in PTM pathways, the modulation of substrate proteins, and the disruption of protein-enzyme interactions that govern PTM processes. Additionally, we delve into the emerging strategy of employing multifunctional molecules to precisely regulate the modification levels of proteins of interest (POIs). Furthermore, we examine the specific characteristics of these molecules, evaluating their therapeutic benefits and potential drawbacks. The goal of this review is to provide a comprehensive understanding of PTM-targeting strategies and their potential for personalized medicine, offering a forward-looking perspective on the evolution of precision therapeutics.

Development and Discovery of a Selective Degrader of Casein Kinases 1 δ/ε

Members of the casein kinase 1 (CK1) family have emerged as key regulators of cellular signaling and as potential drug targets. Functional annotation of the 7 human isoforms would benefit from isoform-selective inhibitors, allowing studies on the role of these enzymes in normal physiology and disease pathogenesis. However, due to significant sequence homology within the catalytic domain, isoform selectivity is difficult to achieve with conventional small molecules. Here, we used a PROTAC (Proteolysis TArgeting Chimeras) approach to develop a highly selective degrader AH078 (37) targeting CK1δ and CK1ε with excellent selectivity over the highly related CK1α isoform. The developed PROTAC, AH078 (37) selectively degraded CK1δ and CK1ε with a DC50 of 200 nM. Characterization of AH078 (37) revealed a VHL and Ubiquitin-dependent degradation mechanism. Thus, AH078 (37) represents a versatile chemical tool to study CK1δ and CK1ε function in cellular systems.

Modulating Phosphorylation by Proximity-Inducing Modalities for Cancer Therapy

Abnormal phosphorylation of proteins can lead to various diseases, particularly cancer. Therefore, the development of small molecules for precise regulation of protein phosphorylation holds great potential for drug design. While the traditional kinase/phosphatase small-molecule modulators have shown some success, achieving precise phosphorylation regulation has proven to be challenging. The emergence of heterobifunctional molecules, such as phosphorylation-inducing chimeric small molecules (PHICSs) and phosphatase recruiting chimeras (PHORCs), with proximity-inducing modalities is expected to lead to a breakthrough by specifically recruiting kinase or phosphatase to the protein of interest. Herein, we summarize the drug targets with aberrant phosphorylation in cancer and underscore the potential of correcting phosphorylation in cancer therapy. Through reported cases of heterobifunctional molecules targeting phosphorylation regulation, we highlight the current design strategies and features of these molecules. We also provide a systematic elaboration of the link between aberrantly phosphorylated targets and cancer as well as the existing challenges and future research directions for developing heterobifunctional molecular drugs for phosphorylation regulation.

Multidimensional Proteomic Landscape Reveals Distinct Activated Pathways Between Human Brain Tumors

Brain metastases (BrMs) and gliomas are two typical human brain tumors with high incidence of mortalities and distinct clinical challenges, yet the understanding of these two types of tumors remains incomplete. Here, a multidimensional proteomic landscape of BrMs and gliomas to infer tumor-specific molecular pathophysiology at both tissue and plasma levels is presented. Tissue sample analysis reveals both shared and distinct characteristics of brain tumors, highlighting significant disparities between BrMs and gliomas with differentially activated upstream pathways of the PI3K-Akt signaling pathway that have been scarcely discussed previously. Novel proteins and phosphosites such as NSUN2, TM9SF3, and PRKCG_S330 are also detected, exhibiting a high correlation with reported clinical traits, which may serve as potential immunohistochemistry (IHC) biomarkers. Moreover, tumor-specific altered phosphosites and glycosites on FN1 are highlighted as potential therapeutic targets. Further validation of 110 potential noninvasive biomarkers yields three biomarker panels comprising a total of 19 biomarkers (including DES, VWF, and COL1A1) for accurate discrimination of two types of brain tumors and normal controls. In summary, this is a full-scale dataset of two typical human brain tumors, which serves as a valuable resource for advancing precision medicine in cancer patients through targeted therapy and immunotherapy.

Longitudinal phosphoproteomics reveals the PI3K-PAK1 axis as a potential target for recurrent colorectal liver metastases

The resistance of colorectal cancer liver metastases (CRLMs) to 5-fluorouracil (5-FU) chemotherapy remains a significant global health challenge. We investigated the phosphoproteomic dynamics of serial tissue sections obtained from initial metastases and recurrent tumors collected from 24 patients to address this unmet need for innovative therapeutic strategies for patients with CRLM with a poor prognosis. Our analysis revealed the activation of PAK kinase in patients with CRLM with a poor prognosis. Using an unbiased computational approach, we conducted a correlation analysis between PAK1 kinase activity and 545 drug sensitivity profiles across 35 colorectal cancer cell lines and identified PI3K inhibitors as potential therapeutic candidates. The efficacy of the FDA-approved PI3K inhibitor copanlisib was validated in 5-FU-resistant cell lines with high PAK1 kinase activity both in vitro and in vivo. This study presents an effective strategy for drug target discovery based on kinase activity, and the concept of this approach is widely applicable.

Exploring Extended Warheads toward Developing Cysteine-Targeted Covalent Kinase Inhibitors

In designing covalent kinase inhibitors (CKIs), the inclusion of electrophiles as attacking warheads demands careful choreography, ensuring not only their presence on the scaffold moiety but also their precise interaction with nucleophiles in the binding sites. Given the limited number of known electrophiles, exploring adjacent chemical space to broaden the palette of available electrophiles capable of covalent inhibition is desirable. Here, we systematically analyze the characteristics of warheads and the corresponding adjacent fragments for use in CKI design. We first collect all the released cysteine-targeted CKIs from multiple databases and create one CKI data set containing 16,961 kinase-inhibitor data points from 12,381 unique CKIs covering 146 kinases with accessible cysteines in their binding pockets. Then, we analyze this data set, focusing on the extended warheads (i.e., warheads + adjacent fragments)─including 30 common warheads and 1344 unique adjacent fragments. In so doing, we provide structural insights and delineate chemical properties and patterns in these extended warheads. Notably, we highlight the popular patterns observed within reversible CKIs for the popular warheads cyanoacrylamide and aldehyde. This study provides medicinal chemists with novel insights into extended warheads and a comprehensive source of adjacent fragments, thus guiding the design, synthesis, and optimization of CKIs.

Advances in the selective c-MET kinase inhibitors: Application of fused [5,6]-Bicyclic nitrogen-containing cores for anticancer drug design

Over the past two decades, small molecules bearing [5,6]-bicyclic nitrogen-containing cores have emerged as one of the most extensively studied structures for the development of selective c-MET kinase inhibitors. Structure-activity relationship (SAR) studies have demonstrated that modifying these cores can significantly impact the biological properties of c-MET inhibitors, including safety/toxicity, potency, and metabolic stability. For example, although c-MET kinase inhibitors containing the [1,2,4]triazolo[4,3-b][1,2,4]triazine scaffold (core P) exhibit high inhibitory potency, they often face challenges due to metabolic stability defects. Alternatively, compounds containing [1,2,3]triazolo[4,5-b]pyrazine (core K) and [1,2,4]triazolo[4,3-b]pyridazine (core I) scaffolds demonstrate lower potency but improved metabolic stability, allowing some of them to progress into clinical trials and even be approved as novel anticancer drugs. Fortunately, X-ray crystallography studies have well elucidated key interactions between [5,6]-bicyclic nitrogen-containing cores and crucial amino acid residues within the c-MET active site. These insights emphasize the significance of π-π stacking interactions with Tyr1230 and hydrogen bonding with Asp1222, providing valuable guidance for the targeted design and optimization of selective c-MET kinase inhibitors. Following the identification/introduction of sixteen distinct [5,6]-bicyclic nitrogen-containing cores (cores A-P) utilized in the design of selective c-MET kinase inhibitors over the past two decades, this manuscript offers a comprehensive review of their roles in drug development of anticancer agents, and describes the various synthesis methods employed. The insights presented herein can serve as a resource for better structural optimization of c-MET kinase inhibitors in the future research.

Residue-Level Multiview Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors

Accurate identification of adenosine triphosphate (ATP) binding sites is crucial for understanding cellular functions and advancing drug discovery, particularly in targeting kinases for cancer treatment. Existing methods face significant challenges due to their reliance on time-consuming precomputed features and the heavily imbalanced nature of binding site data without further investigations on their utility in drug discovery. To address these limitations, we introduced Multiview-ATPBind and ResiBoost. Multiview-ATPBind is an end-to-end deep learning model that integrates one-dimensional (1D) sequence and three-dimensional (3D) structural information for rapid and precise residue-level pocket-ligand interaction predictions. Additionally, ResiBoost is a novel residue-level boosting algorithm designed to mitigate data imbalance by enhancing the prediction of rare positive binding residues. Our approach outperforms state-of-the-art models on benchmark data sets, showing significant improvements in balanced metrics with both experimental and AI-predicted structures. Furthermore, our model seamlessly transfers to predicting binding sites and enhancing docking simulations for kinase inhibitors, including imatinib and dasatinib, underscoring the potential of our method in drug discovery applications.

Design, Synthesis, and Biochemical Evaluation of Novel MLK3 Inhibitors: A Target Hopping Example

The human kinome has tremendous medical potential. In the past decade, mixed-lineage protein kinase 3 (MLK3) has emerged as an interesting and druggable target in oncogenic signaling. The important role of MLK3 has been demonstrated in several types of cancer. In a target hopping example we started with the focal adhesion kinase (FAK) inhibitor PF-431396 (10), which shows off-target activity toward MLK3. We were able to develop highly active compounds in the single digit nanomolar range for MLK3. Furthermore, we achieved a dramatic shift in selectivity from FAK to MLK3. Here we present a new chemical class of MLK3 inhibitors, including our lead compound 37 with an outstanding IC50 value of <1 nM in a biochemical MLK3 assay while simultaneously exhibiting kinome-wide selectivity.

Supramolecular Host:Guest Arrays Site-Selectively Recognize Peptide Phosphorylation and Kinase Activity

A synergistic combination of cationic styrylpyridinium dyes and water-soluble deep cavitand hosts can recognize phosphorylated peptides with both site- and state-selectivity. Two mechanisms of interaction are dominant: either the cationic dye interacts with Trp residues in the peptide or the host:dye pair forms a heteroternary complex with the peptide, driven by both strong dye-peptide and cavitand-peptide binding (Kd values up to 4 μM). The presence of multiple recognition mechanisms results in varying fluorescence responses dependent on the phosphorylation state and position, eliminating the need for covalent modification of the peptide target. Differential sensing aided by machine learning algorithms permits full discrimination between differently positioned serine phosphorylations with a minimal 3-component array. The array is fully functional in the presence of protein kinase A (PKA) and its required cofactors and capable of site-selective monitoring of serine phosphorylation at the privileged PKA motif, in the presence of serine residues that do not undergo reaction, illustrating the potential of the system in kinase-based drug screening.

Design and synthesis of JNK1-targeted PROTACs and research on the activity

Kinase dysregulation is greatly associated with cell growth, proliferation, differentiation and apoptosis, which indicates their great potential as therapeutic targets for treatment of numerous progressive disorders, including inflammatory, metabolic and autoimmune disorders, organ fibrosis and cancer. The c‑Jun N‑Terminal Kinase (JNK), as a member of MAPK family, is proved to be a potential target for the treatment of pulmonary fibrosis, which is the most common progressive and fatal fibrotic lung disease. As a new strategy, small-molecule-mediated targeted protein degradation pathway has the advantages of catalytic properties, overcoming drug resistance and expanding target space, which can circumvent the limitations associated with kinase inhibitors. Proteolysis targeting chimeras (PROTAC) contains a linker to concatenate a ligand of E3 ubiquitin ligase and a ligand for a protein of interest (POI). We developed a total of 20 JNK1-targeted PROTACs that induce proteasomal degradation of JNK1 components. The most active PROTAC molecule PA2 was then investigated by JNK1 enzyme assay and protein degradation assay, which suggested that PA2 had an anti-JNK1 ability and provided insights for the future use of JNK1-targeted PROTAC as treatment drugs for pulmonary fibrosis.

Tilting the Scales toward EGFR Mutant Selectivity: Expanding the Scope of Bivalent "Type V" Kinase Inhibitors

Binding multiple sites within proteins with bivalent compounds is a strategy for developing uniquely active agents. A new class of dual-site inhibitors has emerged targeting the epidermal growth factor receptor (EGFR) anchored to both the orthosteric (ATP) and allosteric sites. Despite proof-of-concept successes, enabling selectivity against oncogenic activating mutations has not been achieved and classifying these inhibitors among kinase inhibitors remains underexplored. This study investigates the structure-activity relationships, binding modes, and biological activity of ATP-allosteric bivalent inhibitors (AABIs). We find that AABIs selectively inhibit drug-resistant EGFR mutants (L858R/T790M and L858R/T790M/C797S) by anchoring a methyl isoindolinone moiety along the αC-helix channel of the allosteric site. In contrast, related Type I1/2 inhibitors target wild-type EGFR but are less effective against resistant mutants. This shift in selectivity demonstrates that mutant-selective AABIs classify as "Type V" bivalent inhibitors.

Combinatorial Targeting of Common Docking and ATP Binding Sites on Mps1 MAPK for Management of Pathogenic Fungi

Resistance in pathogenic fungi necessitates the development of fungicides with new mechanisms of action. The Mps1 MAPK of Magnaporthe oryzae, the pathogen of rice blast disease, has been shown to be a molecular target for fungicide research. Here, we present compound TAK-733 that interacts with the common docking (CD) site of Mps1 and can be used in combination with ATP-competitive inhibitors. We initially identified compounds PLX-4720 and TAK-733 that interact with Mps1. Subsequent assays show that PLX-4720 is an ATP-competitive inhibitor, whereas TAK-733 binds to the CD site of Mps1─an interaction site for its MAPKK─but not to the ATP-binding pocket as it does in the kinase MEK1. In vivo assays demonstrated that TAK-733 exhibits combinational effects with ATP-competitive inhibitors PLX-4720 and A378-0. Collectively, we present TAK-733 as having a new mechanism of action suitable for combinational application with ATP-competitive inhibitors in the management of pathogenic fungi.

Dual regulation of phaseol on osteoclast formation and osteoblast differentiation by targeting TAK1 kinase for osteoporosis treatment

INTRODUCTION

Osteoporosis is an osteolytic disorder resulting from an inequilibrium between osteoblast-mediated osteogenesis and osteoclast-driven bone absorption. Safe and effective approaches for osteoporosis management are still highly demanded.

PURPOSE

This study aimed to examine the osteoprotective effect and the mechanisms of phaseol (PHA) in vitro and in vivo.

METHODS

Virtual screening identified the potential inhibitors of transforming growth factor-beta-activated kinase 1 (TAK1) from coumestans. The interaction between PHA and TAK1 was investigated by molecular simulation, pronase and thermal resistance assays. The maturation and function of osteoclasts were determined using tartrate-resistant acid phosphatase staining, bone absorption and F-actin ring formation assays. The differentiation and calcification of osteoblasts were assessed by alkaline phosphatase staining and Alizarin Red S staining. The activity of related targets and pathways were detected using immunoblotting, immunofluorescence and co-immunoprecipitation assays. The in vivo osteoprotective effect of PHA was evaluated using a lipopolysaccharide (LPS)-induced mouse osteoporosis model.

RESULTS

Firstly, we confirmed that TAK1 was essential in controlling bone remodeling by regulating osteogenesis and osteoclastogenesis. Moreover, PHA, a coumestan compound predominantly present in leguminous plants, was identified as a potent TAK1 inhibitor through virtual and real experiments. Subsequently, PHA was observed to enhance osteoblast differentiation and calcification, while suppress osteoclast maturation and bone resorptive function in vitro. Mechanistically, PHA remarkably inhibited the TRAF6-TAK1 complex formation, and inhibited the activation of TAK1, MAPK and NF-κB pathways by targeting TAK1. In the in vivo study, PHA strongly attenuated bone loss, inflammatory responses, and osteoclast over-activation in lipopolysaccharide-induced osteoporosis mice.

CONCLUSION

PHA had a dual-functional regulatory impact on osteogenesis and osteoclastogenesis by targeting TAK1, suppressing TRAF6-TAK1 complex generation, and modulating its associated signaling pathways, ultimately leading to mitigating osteoporosis. This study offered compelling evidence in favor of using PHA for preventing and managing osteoporosis as both a bone anabolic and anti-resorptive agent.

Dona Flor and her two husbands: Discovery of novel HDAC6/AKT2 inhibitors for myeloid cancer treatment

Hematological cancer treatment with hybrid kinase/HDAC inhibitors is a novel strategy to overcome the challenge of acquired resistance to drugs. We collected IC 50 datasets from the ChEMBL database for 13 cancer cell lines (72 h cytotoxicity, measured by MTT), known inhibitors for 38 kinases, and 10 HDACs isoforms, that we identified by target fishing and literature review. The data was subjected to rigorous biological and chemical curation leaving the final datasets ranging from 76 to 8173 compounds depending on the target. We generated Random Forest classification models, whereby 14 showed greater than 80% predictability after 5-fold external cross-validation. We screened 30 hybrid kinase/HDAC inhibitor analogs through each of these models. Fragment-contribution maps were constructed to aid the understanding of SARs and the optimization of these compounds as selective kinase/HDAC inhibitors for cancer treatment. Among the predicted compounds, 9 representative hybrids were synthesized and subjected to biological evaluation to validate the models. We observed high hit rates after biological testing for the following models: K562 (62.5%), MV4-11 (75.0%), MM1S (100%), NB-4 (62.5%), U937 (75.0), and HDAC6 (86.0%). This aided the identification of 6b and 6k as potent anticancer inhibitors with IC 50 of 0.2-0.8 µM in three cancer cell lines, linked to HDAC6 inhibition below 2 nM, and blockade of AKT2 phosphorylation at 2 μM, validating the ability of our models to predict novel drug candidates.

Highlights

Novel kinase/HDAC inhibitors for cancer treatment were found using machine learning61 QSAR models for hematological cancers and its targets were built and validatedK562, MV4-11, MM1S, NB-4, U937, and HDAC6 models had hit rates above 62.5% in tests 6b and 6k presented potent IC 50 of 0.2-0.8 µM in three cancer cell lines 6b and 6k inhibited HDAC6 below 2 nM, and blockade of AKT2 phosphorylation at 2 μM.

OST Catalytic Subunit Redundancy Enables Therapeutic Targeting of N-Glycosylation

Protein asparagine (N)-glycosylation, which promotes folding and trafficking of cell surface receptors such as the EGFR, has not been considered a viable target in oncology due to the essential and non-redundant enzymatic activities required for glycan synthesis and transfer. In mammals an exception to this rule is the presence of the oligosaccharyltransferase (OST) catalytic subunit paralogs, STT3A and STT3B. Here we delineate the chemical biology of OST inhibitors and develop an approach for limited inhibition of N-glycosylation optimized for downstream effects on EGFR. Small molecules with enhanced pharmacokinetic properties and preferences for STT3A or STT3B were synthesized, characterized in vitro, and advanced to in vivo testing. The lead from this series, NGI-189, causes tumor regression or growth delay of patient derived and TKI resistant EGFR-mutant lung cancer xenografts without toxicity. Together these results suggest that bioavailable OST inhibitors can be developed as therapeutic agents for oncology.

Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning

Mutations in the kinase and juxtamembrane domains of the MET Receptor Tyrosine Kinase are responsible for oncogenesis in various cancers and can drive resistance to MET-directed treatments. Determining the most effective inhibitor for each mutational profile is a major challenge for MET-driven cancer treatment in precision medicine. Here, we used a deep mutational scan (DMS) of ~5,764 MET kinase domain variants to profile the growth of each mutation against a panel of 11 inhibitors that are reported to target the MET kinase domain. We validate previously identified resistance mutations, pinpoint common resistance sites across type I, type II, and type I ½ inhibitors, unveil unique resistance and sensitizing mutations for each inhibitor, and verify non-cross-resistant sensitivities for type I and type II inhibitor pairs. We augment a protein language model with biophysical and chemical features to improve the predictive performance for inhibitor-treated datasets. Together, our study demonstrates a pooled experimental pipeline for identifying resistance mutations, provides a reference dictionary for mutations that are sensitized to specific therapies, and offers insights for future drug development.

Structure-Guided Drug Design Targeting Abl Kinase: How Structure and Regulation Can Assist in Designing New Drugs

The human protein Abelson kinase (Abl), a tyrosine kinase, plays a pivotal role in developing chronic myeloid leukemia (CML). Abl's involvement in various signaling pathways underscores its significance in regulating fundamental biological processes, including DNA damage responses, actin polymerization, and chromatin structural changes. The discovery of the Bcr-Abl oncoprotein, resulting from a chromosomal translocation in CML patients, revolutionized the understanding and treatment of the disease. The introduction of targeted therapies, starting with interferon-alpha and culminating in the development of tyrosine kinase inhibitors (TKIs) like imatinib, significantly improved patient outcomes. However, challenges such as drug resistance and side effects persist, indicating the necessity of research into novel therapeutic strategies. This review describes advancements in Abl kinase inhibitor development, emphasizing rational compound design from structural and regulatory information. Strategies, including bivalent inhibitors, PROTACs, and compounds targeting regulatory domains, promise to overcome resistance and minimize side effects. Additionally, leveraging the intricate structure and interactions of Bcr-Abl may provide insights into developing inhibitors for other kinases. Overall, this review highlights the importance of continued research into Abl kinase inhibition and its broader implications for therapeutic interventions targeting kinase-driven diseases. It provides valuable insights and strategies that may guide the development of next-generation therapies.

Anticancer and Antibacterial Activeness of Fused Pyrimidines: Newfangled Updates

Pyrimidine-based heterocyclic compounds are garnering substantial interest due to their essential role as a class of natural and synthetic molecules. These compounds show a diverse array of biologically relevant activities, making them highly prospective candidates for clinical translation as therapeutic agents in combating various diseases. Pyrimidine derivatives and their fused analogues, such as thienopyrimidines, pyrazolopyrimidines, pyridopyrimidines, and pyrimidopyrimidines, hold immense possibility in both anticancer and antibacterial research. These compounds exhibit notable efficacy by targeting protein kinases, which are crucial enzymes regulating fundamental cellular processes like metabolism, migration, division, and growth. Through enzyme inhibition, these derivatives disrupt key cellular signaling pathways, thereby affecting critical cellular functions and viability. The advantage lies in the ubiquity of the pyrimidine structure across various natural compounds, enabling interactions with enzymes, genetic material, and cellular components pivotal for chemical and biological processes. This interaction plays a central role in modulating vital biological activities, making pyrimidine-containing compounds indispensable in drug discovery. In the realm of anticancer therapy, these compounds strategically target key proteins like EGFR, important for aberrant cell growth. Fused pyrimidine motifs, exemplified by various drugs, are designed to inhibit EGFR, thereby impeding tumor progression. Moreover, these compounds influence potent antibacterial activity, interfering with microbial growth through mechanisms ranging from DNA replication inhibition to other vital cellular functions. This dual activity, targeting both cancer cells and microbial pathogens, underscores the versatility and potential of pyrimidine derivatives in medical applications. This review provides insights into the structural characteristics, synthesis methods, and significant medicinal applications of fused pyrimidine derivatives, highlighting their double role in combating cancer and bacterial infections.

Novel strategies to overcome chemoresistance in human glioblastoma

Temozolomide (TMZ) is currently the first-line chemotherapeutic agent for the treatment of glioblastoma multiforme (GBM). However, the inherent heterogeneity of GBM often results in suboptimal outcomes, particularly due to varying degrees of resistance to TMZ. Over the past several decades, O6-methylguanine-DNA methyltransferase (MGMT)-mediated DNA repair pathway has been extensively investigated as a target to overcome TMZ resistance. Nonetheless, the combination of small molecule covalent MGMT inhibitors with TMZ and other chemotherapeutic agents has frequently led to adverse clinical effects. Recently, additional mechanisms contributing to TMZ resistance have been identified, including epidermal growth factor receptor (EGFR) mutations, overactivation of intracellular signalling pathways, energy metabolism reprogramming or survival autophagy, and changes in tumor microenvironment (TME). These findings suggest that novel therapeutic strategies targeting these mechanisms hold promise for overcoming TMZ resistance in GBM patients. In this review, we summarize the latest advancements in understanding the mechanisms underlying intrinsic and acquired TMZ resistance. Additionally, we compile various small-molecule compounds with potential to mitigate chemoresistance in GBM. These mechanism-based compounds may enhance the sensitivity of GBM to TMZ and related chemotherapeutic agents, thereby improving overall survival rates in clinical practice.

The multiple-action allosteric inhibition of TYK2 by deucravacitinib: Insights from computational simulations

Participating in the Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway, TYK2 emerges as a promising therapy target in controlling various autoimmune diseases, including psoriasis and multiple sclerosis. Deucravacitinib (DEU) is a novel oral TYK2-specific inhibitor approved in 2022 that is clinically effective in moderate to severe psoriasis trials. Upon the AlphaFold2 predicted TYK2 pseudokinase domain (JH2) and kinase domain (JH1), we explored the details of the underlined allosteric inhibition mechanism on TYK2 JH2-JH1 with the aid of molecular dynamics simulation. Our results suggest that the allosteric inhibition of DEU on TYK2 is accomplished by affecting the JH2-JH1 interface and hampering the state transition and ATP binding in JH1. Particularly, DEU binding stabilized the autoinhibitory interface between JH2 and JH1 while disrupting the formation of the activation interface. As a result, the negative regulation of JH2 on JH1 was greatly enhanced. These findings offer additional details on the pseudokinase-dependent autoinhibition of the JAK kinase domain and provide theoretical support for the JH2-targeted drug discovery in JAK members.

diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling

Protein-protein interactions (PPIs) underlie most biological functions. Devastating human conditions like cancers, neurological disorders, and infections, hijack PPI networks to initiate disease, and to drive disease progression. Understanding precisely how diseases remodel PPI networks can, therefore, help clarify disease mechanisms and identify therapeutic targets. Protein kinases control most cellular processes through protein phosphorylation. The 518 human kinases, known as the kinome, are frequently dysregulated in disease and highly druggable with ATP-competitive inhibitors. Kinase activity, localization, and substrate recognition are regulated by dynamic PPI networks composed of scaffolding and adapter proteins, other signaling enzymes like small GTPases and E3 ligases, and phospho-substrates. Accordingly, mapping kinase PPI networks can help determine kinome activation states, and, in turn, cellular activation states; this information can be used for studying kinase-mediated cell signaling, and for prioritizing kinases for drug discovery. Previously, we have developed a high-throughput method for kinome PPI mapping based on mass spectrometry (MS)-based chemoproteomics that we named kinobead competition and correlation analysis (kiCCA). Here, we introduce 2 nd generation (gen) kiCCA which utilizes data-independent acquisition (dia) with parallel accumulation serial fragmentation (PASEF) MS and a re-designed CCA algorithm with improved selection criteria and the ability to predict multiple kinase interaction partners of the same proteins. Using neuroblastoma cell line models of the noradrenergic-mesenchymal transition (NMT), we demonstrate that 2 nd gen kiCCA (1) identified 6.1-times more kinase PPIs in native cell extracts compared to our 1 st gen approach, (2) determined kinase-mediated signaling pathways that underly the neuroblastoma NMT, and (3) accurately predicted pharmacological targets for manipulating NMT states. Our 2 nd gen kiCCA method is broadly useful for cell signaling research and kinase drug discovery.

The antitumor peptide M1-20 induced the degradation of CDK1 through CUL4-DDB1-DCAF1-involved ubiquitination

CDK1 is an oncogenic serine/threonine kinase known to play an important role in the regulation of the cell cycle. FOXM1, as one of the CDK1 substrates, requires binding of CDK1/CCNB1 complex for phosphorylation-dependent recruitment of p300/CBP coactivators to mediate transcriptional activity. Previous studies from our laboratory found that a novel peptide (M1-20) derived from the C-terminus of FOXM1 exhibited potent inhibitory effects for cancer cells. Based on these proofs and to explore the inhibitory mechanism of M1-20, we designed experiments and found that CDK1 served as an important target of M1-20. M1-20 enhanced the ubiquitination and degradation of CDK1 by CUL4-DDB1-DCAF1 complexes through the proteasome pathway. M1-20 could also affect the formation of CDK1/CCNB1 complexes. In addition, compared to RO3306, a CDK1 inhibitor, M1-20 exhibited excellent inhibitory effects in FVB/N MMTV-PyVT murine model of spontaneous breast cancer. These results suggested that M1-20 was a potential CDK1 inhibitor for the treatment of cancer.

Allosteric Changes in the Conformational Landscape of Src Kinase upon Substrate Binding

Precise regulation of protein kinase activity is crucial in cell functions, and its loss is implicated in various diseases. The kinase activity is regulated by interconverting active and inactive states in the conformational landscape. However, how protein kinases switch conformations in response to different signals such as the binding at distinct sites remains incompletely understood. Here, we predict the binding mode for the peptide substrate to Src tyrosine kinase using enhanced conformational sampling simulations (totaling 24 μs) and then investigate changes in the conformational landscape upon substrate binding by conducting unbiased molecular dynamics simulations (totaling 50 μs) initiated from the apo and substrate-bound forms. Unexpectedly, the peptide substrate binding significantly facilitates the transitions from active to inactive conformations in which the αC helix is directed outward, the regulatory spine is broken, and the ATP-binding domain is perturbed. We also explore an underlying residue-contact network responsible for the allosteric conformational changes. Our results are in accord with the recent experiments reporting the negative cooperativity between the peptide substrate and ATP binding to tyrosine kinases and will contribute to advancing our understanding of the regulation mechanisms for kinase activity.

Oncogenic cholesterol rewires lipid metabolism in hepatocellular carcinoma via the CSNK2A1-IGF2R Ser2484 axis

INTRODUCTION

Alcohol consumption and hepatitis B virus (HBV) infection are common risk factors for hepatocellular carcinoma (HCC). However, few studies have focused on elucidating the mechanisms of HCC with combined alcohol and HBV etiology.

OBJECTIVES

We aimed to investigate the molecular features of alcohol and HBV on HCC and to seek out potential therapeutic strategies.

METHODS

Two independent cohorts of HCC patients (n = 539 and n = 140) were included to investigate HCC with synergetic alcohol and HBV (AB-HCC) background. Patient-derived cell lines, organoids, and xenografts were used to validate the metabolic fragile. High-throughput drug screening (1181 FDA-approved anticancer drugs) was leveraged to explore the potential therapeutic agents.

RESULTS

Here, we delineated AB-HCC as a distinctive metabolic subtype, hallmarked by oncogenic cholesterol, through the integration of clinical cohorts, proteomics, phosphoproteomics, and spatial transcriptome. Mechanistically, our findings revealed that cholesterol directly binds to CSNK2A1 (Casein Kinase 2 Alpha 1), augmenting its kinase activity and leading to phosphorylation of IGF2R (Insulin-Like Growth Factor 2 Receptor) at Ser2484. This cascade rewires lipid-driven mitochondrial oxidative phosphorylation, spawns reactive oxygen species measured by malondialdehyde assay, and perpetuates a positive feedback loop for cholesterol biosynthesis, ultimately culminating in tumorigenesis. Initial transcriptional activation of CSNK2A1 is driven by upregulation of RAD21 in AB-HCC. Our cholesterol profiling exposes AB-HCC's compensatory mechanism of AB-HCC, which capitalizes on both uptake and biosynthesis of cholesterol to confer survival edge. Moreover, high-throughput drug screening coupled with in vivo validation has uncovered the susceptibilities of AB-HCC, which can be effectively addressed by a combination of dietary cholesterol restriction and oral administration of Fostamatinib. The CSNK2A1-mediated cholesterol biosynthesis pathway has been implicated in various cancers characterized by cholesterol metabolism.

CONCLUSION

These findings not only pinpoint the oncogenic metabolite cholesterol as a hidden culprit in AB-HCC subtype, but also enlighten a novel combination strategy to rejuvenate tumor metabolism.

Netupitant Inhibits the Proliferation of Breast Cancer Cells by Targeting AGK

Background: Currently, there is a significant lack of effective pharmacological agents for the treatment of breast cancer. Acylglycerol Kinase (AGK), a lipid kinase, has been found to be aberrantly expressed in breast cancer and is closely associated with tumor proliferation, migration, and invasion. However, no clinical anti-tumor drugs specifically targeting this kinase have been developed. Methods: siRNA was utilized to knock down the AGK gene; CCK8 and colony formation assays were employed to evaluate the in vitro proliferative capacity of tumor cells. Molecular dynamics simulations and BIL assays were conducted to analyze drug binding affinity. Annexin V/PI staining was used to assess apoptotic phenomena; subcutaneous xenograft tumor experiments in nude mice were performed to confirm the in vivo anti-tumor efficacy of the drug. Results: Netupitant exhibited stable binding affinity for AGK and interacted with amino acids within the ATP-binding region of the enzyme. The IC50 values for the SK-BR-3 and MDA-MB-231 cell lines were determined as 16.15 ± 4.25 µmol/L and 24.02 ± 4.19 µmol/L, respectively; at a concentration of 2.5 µmol/L, Netupitant effectively inhibited clonogenic capacity in breast cancer cells; furthermore, treatment with 10 µmol/L significantly induced apoptosis in these cells. Doses of 50 mg/kg and 100 mg/kg Netupitant markedly suppressed growth rates of subcutaneous xenograft tumors in nude mice while also promoting apoptotic processes. Both in vivo and in vitro studies indicated that Netupitant could inhibit the activation of the PI3K/AKT/mTOR signaling pathway. Conclusions: By targeting AGK, Netupitant inhibits its kinase activity, which leads to reduced phosphorylation levels of PTEN, thereby suppressing the activation of the PI3K/AKT/mTOR signaling pathway and ultimately resulting in apoptosis in breast cancer cells.

Using phage display for rational engineering of a higher affinity humanized 3'phosphohistidine-specific antibody

Histidine phosphorylation (pHis) is a non-canonical post-translational modification (PTM) that is historically understudied due to a lack of robust reagents that are required for its investigation, such as high affinity pHis-specific antibodies. Engineering pHis-specific antibodies is very challenging due to the labile nature of the phosphoramidate (P-N) bond and the stringent requirements for selective recognition of the two isoforms, 1-phosphohistidine (1-pHis) and 3-phosphohistidine (3-pHis). Here, we present a strategy for in vitro engineering of antibodies for detection of native 3-pHis targets. Specifically, we humanized the rabbit SC44-8 anti-3-pTza (a stable 3-pHis mimetic) mAb into a scaffold (herein referred to as hSC44) that was suitable for phage display. We then constructed six unique Fab phage-displayed libraries using the hSC44 scaffold and selected high affinity 3-pHis binders. Our selection strategy was carefully designed to enrich antibodies that bound 3-pHis with high affinity and had specificity for 3-pHis versus 3-pTza. hSC44.20N32F L , the best engineered antibody, has an ∼10-fold higher affinity for 3-pHis than the parental hSC44. Eleven new Fab structures, including the first reported antibody-pHis peptide structures were solved by X-ray crystallography. Structural and quantum mechanical calculations provided molecular insights into 3-pHis and 3-pTza discrimination by different hSC44 variants and their affinity increase obtained through in vitro engineering. Furthermore, we demonstrate the utility of these newly developed high-affinity 3-pHis-specific antibodies for recognition of pHis proteins in mammalian cells by immunoblotting and immunofluorescence staining. Overall, our work describes a general method for engineering PTM-specific antibodies and provides a set of novel antibodies for further investigations of the role of 3-pHis in cell biology.

Significance Statement

Histidine phosphorylation is an elusive PTM whose role in mammalian cell biology is largely unknown due to the lack of robust tools and methods for its analysis. Here we report the development of antibodies with unprecedented affinity and specificity towards 3-pHis and present the first crystal structures of a pHis peptide in complex with an antibody. Finally, we show how these antibodies can be used in standard molecular biology workflows to investigate pHis-dependent biology.

Investigation of resveratrol as a xanthine oxidase inhibitor: Mechanistic insights and therapeutic implications for gout and hyperuricemia

Gout predominantly stems from hyperuricemia, precipitating the accumulation of urate crystals and consequent joint inflammation, swelling, and pain, thereby compromising the quality of life and presenting a formidable medical dilemma. Although conventional treatments like allopurinol and febuxostat target uric acid reduction via xanthine oxidase (XO) inhibition, they often entail adverse effects, prompting the exploration of safer alternatives. Resveratrol, a polyphenolic compound abundant in fruits and vegetables, has emerged as a potential XO inhibitor. However, its precise inhibitory mechanisms remain poorly understood. This study aims to comprehensively investigate resveratrol's XO inhibition through mechanistic insights, molecular docking simulations, animal model experiments, and biochemical analysis, contributing valuable insights to the development of novel therapeutics for hyperuricemia and gout.

Recent developments of topoisomerase inhibitors: Clinical trials, emerging indications, novel molecules and global sales

The nucleic acid topoisomerases (TOP) are an evolutionary conserved mechanism to solve topological problems within DNA and RNA that have been historically well-established as a chemotherapeutic target. During investigation of trends within clinical trials, we have identified a very high number of clinical trials involving TOP inhibitors, prompting us to further evaluate the current status of this class of therapeutic agents. In total, we have identified 233 unique molecules with TOP-inhibiting activity. In this review, we provide an overview of the clinical drug development highlighting advances in current clinical uses and discussing novel drugs and indications under development. A wide range of bacterial infections, along with solid and hematologic neoplasms, represent the bulk of clinically approved indications. Negative ADR profile and drug resistance among the antibacterial TOP inhibitors and anthracycline-mediated cardiotoxicity in the antineoplastic TOP inhibitors are major points of concern, subject to continuous research efforts. Ongoing development continues to focus on bacterial infections and cancer; however, there is a degree of diversification in terms of novel drug classes and previously uncovered indications, such as glioblastoma multiforme or Clostridium difficile infections. Preclinical studies show potential in viral, protozoal, parasitic and fungal infections as well and suggest the emergence of a novel target, TOP IIIβ. We predict further growth and diversification of the field thanks to the large number of experimental TOP inhibitors emerging.

Rethinking therapeutic strategies of dual-target drugs: An update on pharmacological small-molecule compounds in cancer

Oncogenes and tumor suppressors are well-known to orchestrate several signaling cascades, regulate extracellular and intracellular stimuli, and ultimately control the fate of cancer cells. Accumulating evidence has recently revealed that perturbation of these key modulators by mutations or abnormal protein expressions are closely associated with drug resistance in cancer therapy; however, the inherent drug resistance or compensatory mechanism remains to be clarified for targeted drug discovery. Thus, dual-target drug development has been widely reported to be a promising therapeutic strategy for improving drug efficiency or overcoming resistance mechanisms. In this review, we provide an overview of the therapeutic strategies of dual-target drugs, especially focusing on pharmacological small-molecule compounds in cancer, including small molecules targeting mutation resistance, compensatory mechanisms, synthetic lethality, synergistic effects, and other new emerging strategies. Together, these therapeutic strategies of dual-target drugs would shed light on discovering more novel candidate small-molecule drugs for the future cancer treatment.

Design and synthesis of (E)-3-benzylideneindolin-2-one derivatives as potential allosteric inhibitors of Aurora A kinase

The mitotic kinase Aurora A, a pivotal regulator of the cell cycle, is overexpressed in various cancers and has emerged as one of the most promising targets for anticancer drug discovery. However, the lack of specificity and potential toxicity have impeded clinical trials involving orthosteric inhibitors. In this study, allosteric sites of Aurora A were predicted using the AlloReverse web server. Based on the non-ATP competitive inhibitor Tripolin A and molecular docking information targeting the desired allosteric site 3 of Aurora A, a series of (E)-3-benzylideneindolin-2-one derivatives were designed and synthesized. Compared to Tripolin A, our compounds AK09, AK34 and AK35 have stronger inhibitory effects and can be further investigated as potential allosteric inhibitors. Moreover, the compound AK34 with the strongest inhibitory activity (IC50 = 1.68 μM) has a high affinity for Aurora A (K D = 216 nM). According to the analysis of the structure-activity relationship of the compounds and the results of their molecular docking models, these compounds tend to act on the allosteric site 3 of Aurora A.

Clinical Pharmacology of Asciminib: A Review

Asciminib is a first-in-class allosteric inhibitor of the kinase activity of BCR::ABL1, specifically targeting the ABL myristoyl pocket (STAMP). This review focuses on the pharmacokinetic (PK) and pharmacodynamic data of asciminib, which is approved at a total daily dose of 80 mg for the treatment of adult patients with chronic myeloid leukemia in chronic phase who are either resistant or intolerant to ≥ 2 tyrosine kinase inhibitors or those harboring the T315I mutation (at a dose of 200 mg twice daily). Asciminib is predicted to be almost completely absorbed from the gut, with an absolute bioavailability (F) of approximately 73%. It should be administered in a fasted state, as food (particularly high-fat meals) reduces exposure. Asciminib displays a slightly greater than dose-proportional increase in exposure, with no time-dependent changes in PK observed following repeated dosing. This drug shows low clearance (6.31 L/h), with a moderate volume of distribution (111 L) and high human plasma protein binding (97.3%). The apparent terminal elimination half-life (t1/2) across studies was estimated to be between 7 and 15 h. The PK of asciminib is not substantially affected by body weight, age, gender, race, or renal or hepatic impairment. Asciminib is primarily metabolized via CYP3A4-mediated oxidation (36.0%) and UGT2B7- and UGT2B17-mediated glucuronidation (13.3% and 7.8%, respectively); biliary secretion via breast cancer resistance protein contributes to about 31.1% to total systemic clearance, which is mainly through hepatic metabolism and biliary secretion through the fecal pathway, with renal excretion playing a minor role. The potential for PK drug interaction for asciminib both as a victim and a perpetrator has been summarized here based on clinical and predicted drug-drug interaction studies. Robust exposure-response models characterized asciminib exposure-efficacy and exposure-safety relationships. In patients without the T315I mutation, the exposure-efficacy analysis of the time course of BCR::ABL1IS percentages highlighted the existence of a slightly positive, albeit not clinically significant, relationship. Higher exposure was required for efficacy in patients harboring the T315I mutation compared with those who did not. The exposure-safety relationship analysis showed no apparent association between exposure and adverse events of interest over the broad range of exposure or dose levels investigated. Asciminib has also been shown to have no clinically relevant effect on cardiac repolarization. Here, we review the clinical pharmacology data available to date for asciminib that supported its clinical development program and regulatory applications.

An Adenosine Analogue Library Reveals Insights into Active Sites of Protein Arginine Methyltransferases and Enables the Discovery of a Selective PRMT4 Inhibitor

Protein arginine methyltransferases (PRMTs) represent promising drug targets. However, the lack of isoform-selective chemical probes poses a significant hurdle in deciphering their biological roles. To address this issue, we devised a library of 100 diverse adenosine analogues, enabling a detailed exploration of the active site of PRMTs. Despite their close homology, our analysis unveiled specific chemical trends unique to the individual members. Notably, compound YD1130 demonstrated over 1000-fold selectivity for PRMT4 (IC50 < 0.5 nM) over a panel of 38 methyltransferases, including the other PRMTs. Its prodrug YD1342 exhibited potent inhibition on cellular substrate methylation, breast cancer cell colony formation, and tumor growth in the animal model, surpassing or matching known PRMT4-specific inhibitors. In summary, our focused library not only illuminates the intricate active sites of PRMTs to facilitate the discovery of highly potent and isoform-selective probes but also offers a versatile blueprint for identifying chemical probes for other methyltransferases.

Targeting Protein Kinase, Membrane-Associated Tyrosine/Threonine 1 (PKMYT1) for Precision Cancer Therapy: From Discovery to Clinical Trial

\Protein kinase membrane-associated tyrosine/threonine 1 (PKMYT1), an overlooked member of the WEE family responsible for regulating cell cycle transition, has recently emerged as a compelling therapeutic target for precision cancer therapy due to its established synthetic lethal relationship with CCNE1 (cyclin E1) amplification. Since the first-in-class selective PKMYT1 inhibitor, RP-6306, entered clinical trials in 2021, the field has experienced renewed interest underscored by the growing number of inhibitor patents and the exploration of additional gene alterations, such as KRAS/p53 mutations, FBXW7 mutation, and PPP2R1A mutation, as novel synthetic lethal partners. This perspective summarizes, for the first time, the PKMYT1 structure, function, and inhibitors in both the literature and patent applications reported to date. Compounds are described focusing on their design and optimization process, structural features, and biological activity with the aim to promoting further drug discovery efforts targeting PKMYT1 as a potential precision therapy.

Potent Inhibition and Rapid Photoactivation of Endogenous Bruton's Tyrosine Kinase Activity in Native Cells via Opto-Covalent Modulators

Naturally, kinases exert their activities in a highly regulated fashion. A number of ingenious approaches have been developed to artificially control kinase activity by external stimuli, such as the incorporation of unnatural amino acids or the fusion of additional protein domains; however, methods that directly modulate endogenous kinases in native cells are lacking. Herein, we present a facile and potent method that takes advantage of recent developments in targeted covalent inhibitors and rapid light-mediated uncaging chemistry. Using an important drug target, Bruton's tyrosine kinase (BTK), as an example, these opto-covalent modulators successfully blocked the activity of endogenous BTK in native cells after simple incubation and washout steps. However, upon a few minutes of light irradiation, BTK activity was cleanly restored, and could be blocked again by conventional inhibitors. Promisingly, this photoactivation strategy easily worked in human peripheral blood mononuclear cells (hPBMCs).

Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands

The modulation of protein function via designed small molecules is providing new opportunities in chemical biology and medicinal chemistry. While drugs have traditionally been developed to block enzymatic activities through active site occupation, a growing number of strategies now aim to control protein functions in an allosteric fashion, allowing for the tuning of a target's activation or deactivation via the modulation of the populations of conformational ensembles that underlie its function. In the context of the discovery of new active leads, it would be very useful to generate hypotheses for the functional impact of new ligands. Since the discovery and design of allosteric modulators (inhibitors/activators) is still a challenging and often serendipitous target, the development of a rapid and robust approach to predict the functional profile of a new ligand would significantly speed up candidate selection. Herein, we present different machine learning (ML) classifiers to distinguish between potential orthosteric and allosteric binders. Our approach integrates information on the chemical fingerprints of the ligands with descriptors that recapitulate ligand effects on protein functional motions. The latter are derived from molecular dynamics (MD) simulations of the target protein in complex with orthosteric or allosteric ligands. In this framework, we train and test different ML architectures, which are initially probed on the classification of orthosteric versus allosteric ligands for cyclin-dependent kinases (CDKs). The results demonstrate that different ML methods can successfully partition allosteric versus orthosteric effectors (although to different degrees). Next, we further test the models with FDA-approved CDK drugs, not included in the original dataset, as well as ligands that target other kinases, to test the range of applicability of these models outside of the domain on which they were developed. Overall, the results show that enriching the training dataset with chemical physics-based information on the protein-ligand dynamic cross-talk can significantly expand the reach and applicability of approaches for the prediction and classification of the mode of action of small molecules.

Assessing Darkness of the Human Kinome from a Medicinal Chemistry Perspective

In drug discovery, human protein kinases (PKs) represent one of the major target classes due to their central role in cellular signaling, implication in various diseases as a consequence of deregulated signaling, and notable druggability. Individual PKs and their disease biology have been explored to different degrees, giving rise to heterogeneous functional knowledge and disease associations across the human kinome. The U.S. National Institutes of Health previously designated 162 understudied ("dark") human PKs and lipid kinases due to the lack of functional annotations and high-quality molecular probes for functional investigations. Given the large volumes of available PK inhibitors (PKIs) and activity data, we have systematically analyzed the distribution of PKIs and associated data at different confidence levels across the human kinome and distinguished between chemically explored, underexplored, and unexplored PKs. The analysis provides a medicinal chemistry-centric view of PK exploration and further extends prior assessment of the dark kinome.

Special Issue: "Molecular Dynamics Simulations and Structural Analysis of Protein Domains"

The 3D protein structure is the basis for all their biological functions [...].

Kinase Drug Discovery: Impact of Open Science and Artificial Intelligence

Given their central role in signal transduction, protein kinases (PKs) were first implicated in cancer development, caused by aberrant intracellular signaling events. Since then, PKs have become major targets in different therapeutic areas. The preferred approach to therapeutic intervention of PK-dependent diseases is the use of small molecules to inhibit their catalytic phosphate group transfer activity. PK inhibitors (PKIs) are among the most intensely pursued drug candidates, with currently 80 approved compounds and several hundred in clinical trials. Following the elucidation of the human kinome and development of robust PK expression systems and high-throughput assays, large volumes of PK/PKI data have been produced in industrial and academic environments, more so than for many other pharmaceutical targets. In addition, hundreds of X-ray structures of PKs and their complexes with PKIs have been reported. Substantial amounts of PK/PKI data have been made publicly available in part as a result of open science initiatives. PK drug discovery is further supported through the incorporation of data science approaches, including the development of various specialized databases and online resources. Compound and activity data wealth compared to other targets has also made PKs a focal point for the application of artificial intelligence (AI) in pharmaceutical research. Herein, we discuss the interplay of open and data science in PK drug discovery and review exemplary studies that have substantially contributed to its development, including kinome profiling or the analysis of PKI promiscuity versus selectivity. We also take a close look at how AI approaches are beginning to impact PK drug discovery in light of their increasing data orientation.

Autoimmune complications of tyrosine kinase inhibitors in cancer therapy: Clinical insights, mechanisms, and future perspectives

The tyrosine kinase inhibitors (TKIs) have emerged as a promising class of novel anticancer drugs, achieving significant success in clinical applications. However, the risk of autoimmune diseases associated with these drugs has raised widespread concerns. In this review, TKI-induced autoimmune diseases are reviewed in order to understand this complex phenomenon through clinical research and molecular mechanism exploration. Despite the relatively low incidence of autoimmune diseases, their potential severity demands heightened attention. The potential mechanisms underlying TKI-induced autoimmune diseases may involve immune system dysregulation, alterations in immune cell function, activation of inflammatory responses, and attacks on self-antigens. Various preventive strategies, including clinical monitoring, personalized treatment, optimization of therapeutic approaches, and patient education and communication, can be employed to effectively address these potential risks. Future research directions should delve into the molecular mechanisms of TKI-induced autoimmune diseases, integrate studies on genetics and immunogenetics, advance the development of novel TKIs, explore the possibilities of combining immunotherapy with TKI treatment, and propel large-scale clinical trials.

Molecular and functional landscape of malignant serous effusions for precision oncology

Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells from patient biopsies. Here, we comprehensively characterize a pan-cancer cohort of 150 malignant serous effusion (MSE) samples at the cellular, molecular, and functional level. We find that MSE-derived cancer cells retain the genomic and transcriptomic profiles of their corresponding primary tumors, validating their use as a patient-relevant model system for solid tumor biology. Integrative analyses reveal that baseline gene expression patterns relate to global ex vivo drug sensitivity, while high-throughput drug-induced transcriptional changes in MSE samples are indicative of drug mode of action and acquired treatment resistance. A case study exemplifies the added value of multi-modal MSE profiling for patients who lack genetically stratified treatment options. In summary, our study provides a functional multi-omics view on a pan-cancer solid tumor cohort and underlines the feasibility and utility of MSE-based precision oncology.

Designed dualsteric modulators: A novel route for drug discovery

Orthosteric and allosteric modulators, which constitute the majority of current drugs, bind to the orthosteric and allosteric sites of target proteins, respectively. However, the clinical efficacy of these agents is frequently compromised by poor selectivity or reduced potency. Dualsteric modulators feature two linked pharmacophores that bind to orthosteric and allosteric sites of the target proteins simultaneously, thereby offering a promising avenue to achieve both potency and specificity. In this review, we summarize recent structures available for dualsteric modulators in complex with their target proteins, elucidating detailed drug-target interactions and dualsteric action patterns. Moreover, we provide a design and optimization strategy for dualsteric modulators based on structure-based drug design approaches.

Off-target effects of statins: molecular mechanisms, side effects and the emerging role of kinases

Statins are one of the most important classes of drugs. In this analytical review, we elucidate the intricate molecular mechanisms and toxicological rationale regarding both the on- (targeting 3-hydroxy-3-methylglutaryl-coenzyme A reductase [HMGCR]) and off-target effects of statins. Statins interact with a number of membrane kinases, such as epidermal growth factor receptor (EGFR), erb-b2 receptor tyrosine kinase 2 (HER2) and MET proto-oncogene, receptor tyrosine kinase (MET), as well as cytosolic kinases, such as SRC proto-oncogene, non-receptor tyrosine kinase (Src) and show inhibitory activity at nanomolar concentrations. In addition, they interact with calcium ATPases and peroxisome proliferator-activated receptor α (PPARα/NR1C1) at higher concentrations. Statins interact with mitochondrial complexes III and IV, and their inhibition of coenzyme Q10 synthesis also impairs the functioning of complexes I and II. Statins act as inhibitors of kinases, calcium ATPases and mitochondrial complexes, while activating PPARα. These off-target effects likely contribute to the side effects observed in patients undergoing statin therapy, including musculoskeletal symptoms and hepatic effects. Interestingly, some off-target effects of statins could also be the cause of favourable outcomes, relating to repurposing statins in conditions such as inflammatory disorders and cancer.

Endothelium as a Source of Cardiovascular Toxicity From Antitumor Kinase Inhibitors

Kinase inhibitors (KIs) targeting oncogenic molecular pathways have revolutionized cancer therapy. By directly targeting specific tumor-driving kinases, targeted therapies have fewer side effects compared with chemotherapy. Despite the enhanced specificity, cardiovascular side effects have emerged with many targeted cancer therapies that limit long-term outcomes in patients with cancer. Endothelial cells lining all blood vessels are critical to cardiovascular health and are also exposed to circulating levels of systemic anticancer therapies. Both on- and off-target perturbation of signaling pathways from KIs can cause endothelial dysfunction, resulting in cardiovascular toxicity. As such, the endothelium is a potential source, and also a therapeutic target for prevention, of cardiovascular toxicity. In this review, we examine the evidence for KI-induced endothelial cell dysfunction as a mechanism for the cardiovascular toxicities of vascular endothelial growth factor inhibitors, BCR-Abl (breakpoint cluster region-Abelson proto-oncogene) KIs, Bruton tyrosine inhibitors, and emerging information regarding endothelial toxicity of newer classes of KIs.

Unraveling the AKT/ERK cascade and its role in Parkinson disease

Parkinson disease represents a significant and growing burden on global healthcare systems, necessitating a deeper understanding of their underlying molecular mechanisms for the development of effective treatments. The AKT and ERK pathways play crucial roles in the disease, influencing multiple cellular pathways that support neuronal survival. Researchers have made notable progress in uncovering how these pathways are controlled by upstream kinases and how their downstream effects contribute to cell signalling. However, as we delve deeper into their intricacies, we encounter increasing complexity, compounded by the convergence of multiple signalling pathways. Many of their targets overlap with those of other kinases, and they not only affect specific substrates but also influence entire signalling networks. This review explores the intricate interplay of the AKT/ERK pathways with several other signalling cascades, including oxidative stress, endoplasmic reticulum stress, calcium homeostasis, inflammation, and autophagy, in the context of Parkinson disease. We discuss how dysregulation of these pathways contributes to disease progression and neuronal dysfunction, highlighting potential therapeutic targets for intervention. By elucidating the complex network of interactions between the AKT/ERK pathways and other signalling cascades, this review aims to provide insights into the pathogenesis of Parkinson disease and describe the development of novel therapeutic strategies.

Exploring the conformational landscape of protein kinases

Protein kinases are dynamic enzymes that display complex regulatory mechanisms. Although they possess a structurally conserved catalytic domain, significant conformational dynamics are evident both within a single kinase and across different kinases in the kinome. Here, we highlight methods for exploring this conformational space and its dynamics using kinase domains from ABL1 (Abelson kinase), PKA (protein kinase A), AurA (Aurora A), and PYK2 (proline-rich tyrosine kinase 2) as examples. Such experimental approaches combined with AI-driven methods, such as AlphaFold, will yield discoveries about kinase regulation, the catalytic process, substrate specificity, the effect of disease-associated mutations, as well as new opportunities for structure-based drug design.

Cyclin-Dependent Kinase 8 Represents a Positive Regulator of Cytomegalovirus Replication and a Novel Host Target for Antiviral Strategies

Background. Cyclin-dependent kinase 8 (CDK8) is a multifaceted regulator and represents a catalytic component of the transcriptional Mediator complex. CDK8 activity, on the one hand, increases transcriptional elongation by the recruitment of Mediator/super elongation complexes, but, on the other hand, negatively regulates CDK7-controlled transcriptional initiation through inactivating cyclin H phosphorylation. Recently, these combined properties of CDK8 have also suggested its rate-limiting importance for herpesviral replication. Objectives. In this paper, we focused on human cytomegalovirus (HCMV) and addressed the question of whether the pharmacological inhibition or knock-down of CDK8 may affect viral replication efficiency in cell culture models. Methods. A number of human and animal herpesviruses, as well as non-herpesviruses, were used to analyze the importance of CDK8 for viral replication in cell culture models, and to assess the antiviral efficacy of CDK8 inhibitors. Results. Using clinically relevant CDK8 inhibitors (CCT-251921, MSC-2530818, and BI-1347), HCMV replication was found strongly reduced even at nanomolar drug concentrations. The EC50 values were consistent for three different HCMV strains (i.e., AD169, TB40, and Merlin) analyzed in two human cell types (i.e., primary fibroblasts and astrocytoma cells), and the drugs comprised a low level of cytotoxicity. The findings highlighted the following: (i) the pronounced in vitro SI values of anti-HCMV activity obtained with CDK8 inhibitors; (ii) a confirmation of the anti-HCMV efficacy by CDK8-siRNA knock-down; (iii) a CDK8-dependent reduction in viral immediate early, early, and late protein levels; (iv) a main importance of CDK8 for viral late-stage replication; (v) several mechanistic aspects, which point to a strong impact on viral progeny production and release, but a lack of CDK8 relevance for viral entry or nuclear egress; (vi) a significant anti-HCMV drug synergy for combinations of inhibitors against host CDK8 and the viral kinase vCDK/pUL97 (maribavir); (vii) finally, a broad-spectrum antiviral activity, as seen for the comparison of selected α-, β-, γ-, and non-herpesviruses. Conclusions. In summary, these novel data provide evidence for the importance of CDK8 as a positive regulator of herpesviral replication efficiency, and moreover, suggest its exploitability as an antiviral target for novel strategies of host-directed drug development.