👤 Hortigüela C

Biomedical research benefits from the rapid growth and diversity of experimentally detected protein-protein interactions (PPIs) by gaining important biological insights. However, increasingly dense PPI networks can be challenging to interpret and apply. The 2025 update of the Integrated Interactions Database (IID) enhances accessibility and utility through several new features. We identify and incorporate network structural components from co-purified protein sets, as well as curated and predicted complexes, enabling users to explore network organization beyond binary interactions. Functional, pathway, and disease associations of these components can be analyzed, enabling interactions to be grouped into higher-order structures with known or provisional biological roles. Users can now filter interactions by five detection types: pairwise, co-purification, colocalization, proximity, and other evidence. To extend the value and information of predicted interactions, we include interaction interface predictions for 53 647 PPIs, generated using the MEGADOCK docking algorithm, adding molecular detail for structural biology and variant impact studies. Finally, we map PPIs to 15 immune cell types and 12 additional normal tissues, offering tissue-specific views of interaction networks increasingly relevant in disease and immunology research. IID 2025 now includes over 1 million experimentally detected human PPIs, representing an 83% increase from the previous release, alongside expanded non-human networks. The portal remains publicly available at https://ophid.utoronto.ca/iid. Show less

Defense-associated reverse transcriptases (DRTs) are widespread bacterial anti-phage systems that use unconventional mechanisms of polynucleotide synthesis. We show that DRT3, which comprises two distinct RTs (Drt3a and Drt3b) and a noncoding RNA (ncRNA), synthesizes alternating poly(GT/AC) double-stranded DNA. Cryo-electron microscopy structures at 2.6 Å resolution reveal a D3-symmetric 6:6:6 complex of Drt3a, Drt3b, and ncRNA. Drt3a produces the poly(GT) strand using a conserved ACACAC template within the ncRNA. Notably, Drt3b synthesizes a complementary, protein-primed poly(AC) strand in the complete absence of a nucleic acid template, using conserved active site residues specific to Drt3b to enforce precise base alternation. These findings expand the functional landscape of nucleic acid polymerases, revealing a protein-templated mechanism for sequence-specific DNA synthesis. Show less

The ubiquitously distributed ammonia-oxidizing archaea generate energy from ammonia and build cell mass from inorganic carbon sources, thereby contributing to both the global nitrogen and carbon cycles. However, little is known about the regulation of their predicted core carbon metabolism. A thermodynamic model for Nitrososphaera viennensis was developed to estimate the consumption of inorganic carbon in relation to ammonia consumed for energy and was tested experimentally by growing cells in carbon-limited and excess conditions. A combined proteomic and metabolomic approach to the experimental conditions revealed distinct metabolic adaptation depending on the amount of carbon supplied, either in a catalase or pyruvate background as a reactive oxygen species scavenger. Integration of protein and metabolite dynamics revealed a cellular strategy under carbon limitation to maintain a pool of amino acids and an upregulation of proteins necessary for translation initiation to stay primed for protein synthesis. The combination of modeling and functional genomics fills gaps in the understanding of the central metabolism and its regulation in a chemolithoautotrophic, ammonia-oxidizing archaeon, even in the absence of available genetic tools.IMPORTANCELittle is known about the regulation of carbon metabolism within ammonia-oxidizing archaea (AOA), a widespread clade that plays a critical role in the global nitrogen cycle while also fixing inorganic carbon. To address this missing knowledge, the soil AOA Nitrososphaera viennensis was subjected to various levels of inorganic carbon and analyzed via a systems biology approach to better understand how its core metabolism is regulated. The results demonstrate a strong dependence on the carbon fixation cycle and highlight key connection points between the core metabolic pathways. The analysis additionally revealed tight control on translational processes and elucidated unique cellular responses when the organism was exposed to either exogenous catalase or pyruvate to relieve oxidative stress from reactive oxygen species. The presented data highlight metabolic responses of N. viennensis and provide a better understanding of how the organism, and likely other AOA, respond to various environmental conditions. Show less

Geological structures known as alkaline hydrothermal vents (AHVs) likely displayed dynamic energy characteristics analogous to cellular chemiosmosis and contained iron-oxyhydroxide green rusts in the early Earth. Under specific conditions, those minerals could have acted as non-enzymatic catalysts in the development of early bioenergetic chemiosmotic energy systems while being integrated into the membrane of AHV-produced organic vesicles. Here, we show that the simultaneous addition of two probable AHV components, namely nickel and amino acids, impacts green rust's physico-chemical properties, especially those required for its incorporation in lipid vesicle's membranes, such as decreasing the mineral size to the nanometer scale and increasing its hydrophobicity. These results suggest that such hydrophobic nano green rusts could fit into lipid vesicle membranes and could have functioned as a primitive, inorganic precursor to modern chemiosmotic metalloenzymes, facilitating both electron and proton transport in early life-like systems. Show less

Psychiatric diseases are often treated with several drugs. In addition, the risk of developing somatic comorbidities which may require drug therapy is higher in patients with than in patients without psychiatric diseases. Further on, the risk of drug-drug interactions (DDI) increases with the number of drugs taken. The aim of this study was to analyze whether already known DDI between psychiatric drugs and somatic medications still occur in everyday clinical practice. Show less

Drug-drug interactions (DDI) are an important cause of adverse drug reactions (ADRs). Could large language models (LLMs) serve as valuable tools for pharmacovigilance specialists in detecting DDIs that lead to ADR notifications? Show less

Predicting protein‒protein interactions (PPIs) plays a crucial role in understanding biological processes. Although biological experimental methods can identify PPIs, they are costly, time-consuming, labor-intensive, and often lack stability. In contrast, computational approaches for PPI prediction, particularly deep learning methods, can efficiently learn representations from protein sequences. However, the generalizability, robustness, and stability of computational PPI prediction models still need improvement, especially for species with limited verified PPI data. Protein embeddings generated by protein language models can extract features from protein sequences and reflect hierarchical biological structures, making them suitable for predicting PPIs. Therefore, in this study, we propose a novel protein sequence-based PPI prediction framework designed for generalized PPI assessment by integrating two protein language models (PLMs) and an enhanced deep neural network (MPIDNN-GPPI). Specifically, the sequences are embedded using two protein language models, Ankh and ESM-2. A deep neural network is then used to learn representations from the feature vectors produced by PLMs. Subsequently, a multi-head attention mechanism is introduced to capture long-range dependencies and fuse them with DNN-derived representations. Finally, a deep neural network is applied to assess the probability of interaction between two proteins. To evaluate the performance of MPIDNN-GPPI, nine PPI datasets were collected from the STRING database, covering a diverse set of species: five datasets from mammals (D. melanogaster, C. elegans, S. cerevisiae, H. sapiens, and M. musculus), and four datasets from plants (O. sativa, A. thaliana, G. max, and Z. mays). When trained on H. sapiens, MPIDNN-GPPI achieved AUC values of 0.959, 0.966, 0.954, and 0.916 on independent test sets for M. musculus, D. melanogaster, C. elegans, and S. cerevisiae, respectively. These results represent the best performance among all PPI models compared in this study. Similarly, when trained on O. sativa, the model achieved AUC values of 0.96, 0.95, and 0.913 on independent datasets for A. thaliana, G. max, and Z. mays, respectively. Ablation experiments demonstrated that models combining Ankh and ESM-2 outperformed those relying on a single protein language model. Furthermore, MPIDNN-GPPI, which incorporates multi-head attention and deep neural networks (DNN), achieved superior performance compared to models using DNN alone. These findings indicate that MPIDNN-GPPI possesses strong generalization capability for cross-species PPI prediction. The proposed model, trained on one species, can be effectively applied to accurately predict PPIs in other species. Show less

Here, we shed physico-chemical light on major kinase signal transduction cascades in cell proliferation in the Ras network, MAPK and PI3K/AKT/mTOR. The cascades respond to external stimuli. The kinases are allosterically activated and relay the signal, leading to cell growth and division. The pathways are crosslinked, with the output of one pathway influencing the other. The effectiveness of their allosteric signaling relay stems from coordinated speed and precision. These qualities are essential for cell life-yet exactly how they are obtained and regulated has challenged the community over four decades. Here, we define their nature by their kinases' repertoires, substrate specificities and breadth, activation and autoinhibition mechanisms, catalytic rates, interactions, and their dilution state. The cascades are lodged in a dense molecular condensate phase at the membrane adjoining RTK clusters, where their assemblies promote specific, productive signaling. Aiming to shed further physico-chemical light, we ask (i) how starting the cascades with a single substrate and ending with hundreds is still labeled specific; (ii) what we can learn from their different number of mutations; and (iii) why B-Raf unique side-to-side inverse dimerization slows ERK activation and signaling. We point to the (iv) chemical mechanics of the distributions of rates of the crucial MAPK cascade: slower at the top and rapid at the bottom. Finally, the cascades provide inspiration for pharmacological perspectives. Collectively, our updated physico-chemical outlook provides the molecular basis of targeting protein kinases in cancer and spans mechanisms and scales, from conformational landscapes to membraneless organelles, cells and systems levels. Show less

The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this publication, we describe ongoing changes to our production pipeline to limit the sequences available in UniProtKB to high-quality, non-redundant reference proteomes. We continue to manually curate the scientific literature to add the latest functional data and use machine learning techniques. We also encourage community curation to ensure key publications are not missed. We provide an update on the automatic annotation methods used by UniProtKB to predict information for unreviewed entries describing unstudied proteins. Finally, updates to the UniProt website are described, including a new tab linking protein to genomic information. In recognition of its value to the scientific community, the UniProt database has been awarded Global Core Biodata Resource status. Show less

Proteins are of great significance in living organisms. However, understanding their functions encounters numerous challenges, such as insufficient integration of multimodal information, a large number of training parameters, limited flexibility of classification-based methods, and the lack of systematic evaluation metrics for protein question answering systems. To tackle these issues, we propose the Prot2Chat framework. Show less

To mimic the structural aspects of staurosporine, a potent but unspecific kinase inhibitor, several coordination compounds based on two readily available diimine ligands containing hydrogen bonding donor/acceptor sites (NH-CO fragment) have been designed and synthesized. These complexes are constructed around Ru(II) and Pt(II) metal centers. A total of 9 compounds, named Ru(1)-(5) and Pt(1)-(4), were obtained through straightforward synthetic approaches. The cytotoxicity of the compounds was evaluated on AGS gastric cancer cells (GC) through standard MTT assays. All ruthenium and platinum complexes with low toxicity, i.e.Ru(3), Ru(5), Pt(3) and Pt(4), were docked in the ATP binding pocket of two protein kinases (S6K1 and MST2). The docking scores highlighted a preferred affinity of Ru(5) for the MST2 binding pocket, whereas the platinum compounds are predicted to bind stronger to the S6K1 binding site. Inhibitory activity of the metal complexes on the MST2 and S6K1 signaling pathways was evaluated by analyzing via western blot experiments the phosphorylation state of YAP, a downstream component of the Hippo pathway and the protein expression of S6 and its phosphorylated analogue p-S6. A clear difference of behavior between the Pt(II) and the Ru(II) complexes depending on the type of kinase was observed. Show less

A significant challenge in the treatment of melanoma with immune checkpoint blockades (ICBs) is the limited T cells response often observed in immunologically "cold" tumors. By leveraging the immunogenicity of immunogenic cell death (ICD), which increases the susceptibility of tumor cells to ICBs, this study investigated the potential of a nucleus-targeted ruthenium(II) complex (Ru1) as an inducer of ICD. Treatment with Ru1 induced DNA damage in melanoma cells, activating the cyclic GMP-AMP synthase-stimulator of the interferon genes (cGAS-STING) pathway. This triggered endoplasmic reticulum (ER) stress, leading to ICD. Ru1-treated dying melanoma cells exhibited characteristics such as cell exposure of calreticulin (CRT) on the cell surface, release of adenosine triphosphate (ATP), and secretion of high-mobility group box 1 (HMGB1). Vaccination with Ru1-treated, dying melanoma cells elicited robust antitumor immune responses, as evidenced by CD8⁺ T cells activation, reduced Foxp3⁺ T cells count, and the development of a memory immune response that protected mice from subsequent melanoma challenges. Combining Ru1 with anti-PD-1 therapy significantly promoted T cells infiltration, enhanced dendritic cell activation, and reduced tumor-associated immunosuppressive factors, indicating a reprogramming of the tumor microenvironment. These findings suggest that Ru1 is a promising therapeutic agent for treating "cold" tumors in cancer chemoimmunotherapy. Show less

Ruthenium-based metallodrugs have garnered attention as a promising alternative for anticancer therapy, aiming to overcome chemoresistance and severe side effects linked to platinum-based drugs. However, ruthenium complexes tested in clinical trials to date have yielded unsatisfactory results. This study synthesized a positively charged ruthenium complex (Ru-2) that effectively penetrated cancer cells and exhibited superior cytotoxicity to cisplatin in vitro against cancer cell lines and organoids. Ru-2 selectively targeted mitochondria, disrupting their function by depolarizing mitochondrial membrane potential, elevating reactive oxygen species production, and impairing both oxidative phosphorylation and the tricarboxylic acid cycle. Furthermore, Ru-2 triggered endoplasmic reticulum (ER) stress and apoptosis. Integrative transcriptomic and proteomic analyses, performed using RNA sequencing and mass spectrometry, identified key molecular changes in cancer cells treated with Ru-2. For enhanced in vivo application, we developed a transferrin-based nanomedicine formulation, TF/Ru-2, incorporating Ru-2 into transferrin. In vivo studies demonstrated that both Ru-2 and TF/Ru-2 exhibited superior antitumor efficacy and improved biosafety compared to cisplatin. This study presents a novel ruthenium complex and a transferrin-based drug delivery platform with significant potential for future cancer therapies. Show less

Cancer resistance to chemotherapeutic agents such as cisplatin presents a significant challenge, leading to treatment failure and poor outcomes. Novel metal-based compounds offer a promising strategy to overcome drug resistance and to enhance efficacy. Four Ru(II) complexes with fenamic acid derivatives were synthesized and characterized: [Ru(L)(bipy)(dppp)]PF₆, where L represents fenamic acid (HFen, complex 1), mefenamic acid (HMFen, complex 2), tolfenamic acid (HTFen, complex 3), and flufenamic acid (HFFen, complex 4). Their composition was supported by molar conductivity, elemental analysis, Fourier transform infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectrometry, and ³¹P{¹H}, ¹H, and ¹³C nuclear magnetic resonance, with the crystal structure of complex 1 confirmed via X-ray diffraction. Complexes 1-4 exhibited notable cytotoxicity against tested cell lines, particularly A2780 and A2780cisR (cisplatin-resistant ovarian tumors), compared to MDA-MB-231 (breast) and A549 (lung) lines. Mechanistic studies revealed weak DNA interactions through minor grooves or electrostatic binding. Cellular uptake assays showed effective internalization of complexes 1 (3.6%) and 2 (4.5%), correlating with potent IC₅₀ values. These complexes also altered cell morphology, reduced cell density, and inhibited colony formation in the A2780 cells. Staining assays indicated induced cell death and organelle damage, highlighting their potential as promising antitumor agents. Show less

Title: The role of ancillary ligands on benzodipyridophenazine-based Ru(II)/Ir(III) complexes in dark and light toxicity against TNBC cells. Abstract: In this study, we investigated the impact of ancillary ligands on the anticancer activity of benzodipyridophenazine-based Ru(II) and Ir(III) complexes (Ru1, Ru2, Ir1, and Ir2). These metal complexes displayed three significant absorption bands attributed to the ligand-centered (LC) transitions, ligand-to-ligand charge transfer (LLCT), and metal-to-ligand charge transfer (MLCT). Binding studies of biomolecules were performed with the complexes along with the ligand, and it was found that after binding with Ru(II)/Ir(III), the properties of the ligands were enhanced. In vitro screening revealed that complex [(η5-Cp*)IrIIICl(κ2-N,N-benzo[i]dipyrido[3,2-a:2',3'-c])phenazine] (Ir1) exhibited the highest potency and selectivity (IC50 ∼ 2.14 μM, PI > 13) under yellow light irradiation. The photo-toxicity trend was Ir1 > Ru1 > Ir2 ≫ Ru2, which was found to be directly correlated with the singlet oxygen quantum yield (1O2). Chloro-substituted complexes (Ir1 and Ru1) were effective for hypoxic tumor treatment, particularly Ir1, which could generate high amounts of reactive oxygen species (ROS, type I PDT) in cells under photo irradiation. The high value of fluorescence quantum yield (fφ = 0.26) and significant emission at λ = 571 nm of Ir1 were certainly useful for bio-imaging applications. Colocalisation and DCFDA studies of Ir1 revealed that it can accumulate in the mitochondria, leading to depolarization of the mitochondrial membrane. These studies confirm that the complex Ir1 is a promising candidate for TNBC treatment in hypoxic tumors, with efficacy comparable to the current PDT drug Photofrin. Show less

Title: Novel Ru(II) Complexes as Type-I/-II Photosensitizers for Multimodal Hypoxia-Tolerant Chemo-Photodynamic/Immune Therapy. Abstract: Photodynamic therapy (PDT) is increasingly regarded as an attractive approach for cancer treatment due to its advantages of low invasiveness, minimal side effects, and high efficiency. Here, two novel Ru(II) complexes 8a,b were designed and synthesized by coordinating phenanthroline and biquinoline ligands with Ru(II) center, and their chemo-photodynamic therapy and immunotherapy were explored. Both 8a and 8b exhibited significant phototoxicity against A549 and 4T1 tumor cells via type-I/-II PDT. Among them, 8b exhibited superior oxygen-independent antitumor effects (IC50s = 1.50-1.76 μM) upon laser irradiation, and displayed micromolar-level chemotherapeutic activities, indicating its potential for chemo/photodynamic dual effects. Furthermore, 8b also initiated an ICD cascade, enhancing recruitment and maturation of antigen-presenting cells, thus triggering a CD8+ T cell antitumor immune response. Finally, in vivo antitumor experiments demonstrated that 8b exhibited significant inhibition of lung and breast tumor growth, with inhibition rates of 94.6% and 97.3%, respectively. Therefore, the Ru(II) complexes we designed, as effective type-I/-II photosensitizers and potential immunoactivators, demonstrate multiple antitumor mechanisms, warranting further study. Show less

In recent years, photodynamic therapy (PDT) has emerged as a promising alternative to classical chemotherapy for treating cancer. PDT is based on a nontoxic prodrug called photosensitizer (PS) activated by light at the desired location. Upon irradiation, the PS reacts with the oxygen present in the tumor, producing cytotoxic reactive oxygen species (ROS). Compounds with highly conjugated π-bond systems, such as porphyrins and chlorins, have proven to be excellent light scavengers, and introducing a metal atom in their structure improved the generation of ROS. In this work, a series of tetrapyrrole-ruthenium(II) complexes derived from protoporphyrin IX and the commercial drug verteporfin were designed as photosensitizers for PDT. The complexes were almost nontoxic on human gastric cancer cells under dark conditions, revealing remarkable cytotoxicity upon irradiation with light. The ruthenium atom in the central cavity of the chlorin ligand allowed combined mechanisms in photodynamic therapy, as both singlet oxygen and superoxide radicals were detected. Additionally, one complex produced large amounts of singlet oxygen under hypoxic conditions. Biological assays demonstrated that the ruthenium derivatives caused cell death through a caspase 3 mediated apoptotic pathway and via CHOP, an endoplasmic reticulum stress-inducible transcription factor involved in apoptosis and growth arrest. Show less

The clinical success of metal-based anticancer agents can be achieved by developing not only an efficient metallodrug but also a suitable drug delivery system (DDS). Although spatiotemporal delivery, enhancing the efficacy, and alleviating toxicity are achievable, modifying the mechanism of action of metallodrugs using a nano DDS remains scarce. With all this in mind, a series of cyclometalated ruthenium(II) half-sandwich complexes of the type [(η⁶-p-cymene)Ru(L)Cl] Ru(1)-Ru(4), where L is 2-phenylquinoline (L1), 2-(thiophen-2-yl)quinoline (L2), 4-methyl-2-phenylquinoline (L3), or 2,4-diphenylquinoline (L4), have been isolated and characterized by analytical and spectroscopic methods. Ru(1) and Ru(2) have been structurally characterized, and their coordination geometries around the ruthenium(II) are described as pseudo-octahedral geometry. Only the Ru(1) complex, which exhibited substantial cytotoxicity in non-cancerous cells and low cytotoxicity in breast cancer cells, is encapsulated into a hybrid nanosystem comprising phospholipid and polydiacetylene. The Ru(1)-entrapped nanoassembly (PDL-Ru(1)) is found to show pH-induced emission and higher release of the complex in a simulated tumor environment than in a physiological environment. Even though such a halochromic character failed to benefit cell imaging, the nanocarrier-mediated delivery has been proven to improve the cytotoxicity of Ru(1) in breast cancer cells, modulate the mode of cell death, and reduce toxicity in normal cells. Zebrafish embryo toxicity studies revealed that polydiacetylene-lipid nanoassembly could be useful for in vivo biocompatibility applications of ruthenodrug candidates. Show less

In this study, we synthesized 12 monofunctional tridentate ONS-donor salicylaldimine ligand (L)-based Ru(II) complexes with general formula [(Ru(L)(p-cymene)]⁺·Cl^- (C1-C12), characterized by ¹H NMR, ¹³C NMR, UV, FT-IR spectroscopy, HR-ESI mass spectrometry, and single-crystal X-ray analysis showing ligand's orientation around the Ru(II) center. All 12 of these 12 complexes were tested for their anticancer activities in multiple cancer cells. The superior antitumor efficacy of C2, C8, and C11 was demonstrated by reduced mitochondrial membrane potential, impaired proliferative capacity, and disrupted redox homeostasis, along with enhanced apoptosis through caspase-3 activation and downregulation of Bcl-2 expression. In the 4T1 breast cancer orthotopic mouse model, assessment of bioluminescence for metastatic spread, tumor burden, histopathological evaluation, immunohistochemistry (IHC), and hematological profiling and tissue Protein expression of caspase-3, cleaved caspase-3, TNF-α, and bcl-2 demonstrated that C8 treatment led to prolonged survival and suppressed tumor progression in triple negative breast cancer. Show less

We introduce ruthenosomes, a fusion of liposomal and reactive oxygen species (ROS)-generating properties meticulously engineered as potent ferroptosis inducers (FINs), marking a significant advancement in metallodrug design for cancer therapy. Formed through the self-assembly of oleate-conjugated ruthenium complexes, these ruthenosomes exhibit exceptional cellular uptake, selectively accumulating in mitochondria and causing substantial disruption. This targeted mitochondrial damage significantly elevates ROS levels, triggering autophagy and selectively activating ferritinophagy. Together, these processes sensitize cancer cells to ferroptosis. In vivo, ruthenosomes effectively suppress colorectal tumor growth, underscoring their therapeutic potential. Our study pioneers a design strategy that transforms ruthenium complexes into liposome-like structures capable of inducing ferroptosis independent of light activation. By leveraging ruthenosomes as multifunctional nanocarriers, this research offers a versatile and powerful platform for ROS-mediated, ferroptosis-driven cancer cell eradication. Show less

Title: Radiosensitization effect of iridium (III) complex on lung cancer cells via mitochondria apoptosis pathway. Abstract: BACKGROUND: Lung cancer is the leading cause of cancer-related death in the worldwide. Although cisplatin and other platinum-based drugs are widely used as radiosensitizers in radiotherapy and considered the first-line treatment for advanced lung cancer, their clinical utility is often limited by drug resistance and severe cytotoxic side effects. In recent years, iridium-based complexes and other transition metal cation complexes with similar structural properties have garnered increasing research interest due to their potential anticancer properties. METHODS: Recently, we synthesized a novel iridium (III) complex (Ir-1) and evaluated its safety and stability. The present study aimed to identify Ir-1 with potent anticancer activity by assessing its cytotoxic effects on lung cancer cells in vitro. Additionally, it investigated Ir-1's radiosensitizing efficacy and the underlying mechanisms. RESULTS: The results demonstrated that Ir-1 exhibited significant radiosensitizing effects on lung cancer cells. Ir-1 effectively reduced cell viability and colony formation, arrested the cell cycle at the G2/M phase, inhibited cell migration and invasion, decreased mitochondrial membrane potential, and increased reactive oxygen species (ROS) generation in lung cancer cells. Importantly, these cytotoxic effects were selective, with minimal impact on normal cells. Mechanistic studies showed that Ir-1 enhanced radiation-induced cancer cell death by disrupting mitochondrial function and activating the mitochondrial apoptotic pathway. This was evidenced by upregulated expression levels of Bax, Cytochrome c (Cyt-C), and Caspase9 proteins, along with reduced level of Bcl-2 protein. Notably, the addition of a Cyt-C inhibitor significantly reduced the expression of Cyt-C and Caspase9 proteins. Similarly, treatment with the Caspase9 inhibitor Z-LEHD-FMK also reduced Caspase9 protein level. CONCLUSION: This study provides robust evidence that Ir-1 is a promising and safe radiosensitizer for lung cancer therapy. Its ability to enhance radiation-induced cytotoxicity through mitochondrial dysfunction and activation of apoptotic pathways highlights its potential for clinical application. Show less

Title: A Bioactive Benzimidazole-Cyclometalated Iridium(III) Complex as an Epigenetic Regulator through Effectively Interrupting the EED-EZH2 Interaction. Abstract: Epigenetic regulation plays a fundamental role in controlling gene expression and maintaining cellular identity. Among epigenetic processes, the translocation of methyltransferases is critical for the modification of chromatin structure and transcriptional activity. The regulation of these translocation events and the mechanisms involved are complex, yet critical for understanding and manipulating epigenetic states. Therefore, novel strategies are required for detecting and visualizing the movement and interaction of methyltransferases within cells. Using enhancer of zeste homolog 2 (EZH2) methyltransferase as an example, a bifunctional compound capable of both monitoring and disrupting its translocation process is developed by targeting the protein-protein interaction (PPI) between embryonic ectoderm development (EED) and EZH2. The Ir(III) complex 1 bound enthalpically to EED and effectively inhibited the methyltransferase activity of EZH2. Moreover, disruption of the EED-EZH2 PPI led to increased transcriptional activity of P21 and P27, resulting in the suppression of triple-negative breast cancer (TNBC) cell proliferation. Excitingly, 1 suppressed tumor metastasis in a TNBC mouse model in vivo. To our knowledge, complex 1 is the first metal-based bifunctional therapeutic agent designed to probe and inhibit the EED-EZH2 PPI, highlighting the feasibility and significance of using metal complexes to monitor and influence methyltransferase translocations for therapeutic applications. Show less

Title: Triphenylphosphine-modified cyclometalated iridium Abstract: This study presents the development and evaluation of triphenylphosphine-modified cyclometalated iridiumIII complexes as selective anticancer agents targeting mitochondria. By leveraging the mitochondrial localization capability of the triphenylphosphine group, these complexes displayed promising cytotoxicity in the micromolar range (3.12-7.24 μM) against A549 and HeLa cancer cells, these complexes exhibit significantly higher activity compared to their unmodified counterparts lacking the triphenylphosphine moiety. Moreover, they demonstrate improved specificity for cancer cells over normal cells, achieving selectivity index in the range of 5.46-14.83. Mechanistic studies confirmed that these complexes selectively target mitochondria rather than DNA, as shown by confocal microscopy and flow cytometry, where they accumulate to induce mitochondrial dysfunction. This disruption leads to mitochondrial membrane depolarization (MMP), elevated reactive oxygen species (ROS) levels, and activation of intrinsic apoptosis pathways. Furthermore, the complexes induce cell cycle arrest at the G2/M phase and suppress the migration of A549 cells. Show less

Title: Mitochondrial-targeted iridium(III) complexes suppress tumor growth through inducting immunogenic cell death to activate immune response. Abstract: A new ligand, 2-(2-hydroxyl-4-methyl)phenyl-1H-imidazo[4,5-f][1,10]phenanthroline (IPMP), and [Ir(ppy)2(IPMP)]PF6 (7a), [Ir(bzq)2(IPMP)]PF6 (7b), and [Ir(piq)2(IPMP)]PF6 (7c) have been prepared and characterized by HRMS, NMR spectra. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays revealed that 7b exhibited excellent activity (IC50 = 4.5 ± 0.4 μM), while 7a and 7c showed good cytotoxicity (IC50 = 8.5 ± 0.9 μM and 8.9 ± 2.2 μM) against non-small cell lung cancer A549 cells. The experiments of cellular uptake and mitochondrial localization demonstrate that these new iridium(III) complexes are readily taken up by A549 cells and accumulate in the mitochondria and damage the structure of the mitochondria, which results in the loss of mitochondrial membrane potential (MMP), elevated lipid peroxidation, as well as DNA damage, the inhibition of microtubule polymerization, hindrance of the cell cycle in the G0/G1 phase, and release of cytochrome c, collectively leading to apoptosis. Furthermore, upregulation of Beclin-1, overexpression of NF-κB and downregulation of GPX4 protein were observed, which resulted in the activation of autophagy, pyroptosis and ferroptosis, respectively. In the C57BL/6 mouse model, the 7b demonstrated promising in vivo antitumor efficacy, with a tumor inhibitory rate of 66.9 %. Additionally, the complexes induce an immunogenic cell death to activate immune response, further enhance CD8+ T cells and efficiently inhibit tumor growth. Collectively, we consider that the complexes may be utilized as potential candidate agents for the treatment of A549 cancer. Show less

Drug-drug interactions (DDIs) can produce unpredictable pharmacological effects and lead to adverse events that have the potential to cause irreversible damage to the organism. Traditional methods to detect DDIs through biological or pharmacological analysis are time-consuming and expensive, therefore, there is an urgent need to develop computational methods to effectively predict drug-drug interactions. Currently, deep learning and knowledge graph techniques which can effectively extract features of entities have been widely utilized to develop DDI prediction methods. In this research, we aim to systematically review DDI prediction researches applying deep learning and graph knowledge. The available biomedical data and public databases related to drugs are firstly summarized in this review. Then, we discuss the existing drug-drug interactions prediction methods which have utilized deep learning and knowledge graph techniques and group them into three main classes: deep learning-based methods, knowledge graph-based methods, and methods that combine deep learning with knowledge graph. We comprehensively analyze the commonly used drug related data and various DDI prediction methods, and compare these prediction methods on benchmark datasets. Finally, we briefly discuss the challenges related to drug-drug interactions prediction, including asymmetric DDIs prediction and high-order DDI prediction. Show less

Cisplatin (cDDP) resistance is a matter of concern in triple-negative breast cancer therapeutics. We measured the metabolic response of cDDP-sensitive (S) and -resistant (R) MDA-MB-231 cells to Pd2Spermine(Spm) (a possible alternative to cDDP) compared to cDDP to investigate (i) intrinsic response/resistance mechanisms and (ii) the potential cytotoxic role of Pd2Spm. Cell extracts were analyzed by untargeted nuclear magnetic resonance metabolomics, and cell media were analyzed for particular metabolites. CDDP-exposed S cells experienced enhanced antioxidant protection and small deviations in the tricarboxylic acid cycle (TCA), pyrimidine metabolism, and lipid oxidation (proposed cytotoxicity signature). R cells responded more strongly to cDDP, suggesting a resistance signature of activated TCA cycle, altered AMP/ADP/ATP and adenine/uracil fingerprints, and phospholipid biosynthesis (without significant antioxidant protection). Pd2Spm impacted more markedly on R/S cell metabolisms, inducing similarities to cDDP/S cells (probably reflecting high cytotoxicity) and strong additional effects indicative of amino acid depletion, membrane degradation, energy/nucleotide adaptations, and a possible beneficial intracellular γ-aminobutyrate/glutathione-mediated antioxidant mechanism. Show less

Brain cancer is regarded as one of the most life-threatening forms of cancer worldwide. Oxidative stress acts to derange normal brain homeostasis, thus is involved in carcinogenesis in brain. The Nrf2/Keap1/ARE pathway is an important signaling cascade responsible for the maintenance of redox homeostasis, and regulation of anti-inflammatory and anticancer activities by multiple downstream pathways. Interestingly, Nrf2 plays a somewhat, contradictory role in cancers, including brain cancer. Nrf2 has traditionally been regarded as a tumor suppressor since its cytoprotective functions are considered to be the principle cellular defense mechanism against exogenous and endogenous insults, such as xenobiotics and oxidative stress. However, hyperactivation of the Nrf2 pathway supports the survival of normal as well as malignant cells, protecting them against oxidative stress, and therapeutic agents. Plants possess a pool of secondary metabolites with potential chemotherapeutic/chemopreventive actions. Modulation of Nrf2/ARE and downstream activities in a Keap1-dependant manner, with the aid of plant-derived secondary metabolites exhibits promise in the management of brain tumors. Current article highlights the effects of Nrf2/Keap1/ARE cascade on brain tumors, and the potential role of secondary metabolites regarding the management of the same. Show less

Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzyme Chemistry Relation Extraction Dataset, a new training and benchmarking dataset to support the development of Natural Language Processing (NLP) methods such as (large) language models that can assist enzyme curation. EnzChemRED consists of 1,210 expert curated PubMed abstracts where enzymes and the chemical reactions they catalyze are annotated using identifiers from the protein knowledgebase UniProtKB and the chemical ontology ChEBI. We show that fine-tuning language models with EnzChemRED significantly boosts their ability to identify proteins and chemicals in text (86.30% F1 score) and to extract the chemical conversions (86.66% F1 score) and the enzymes that catalyze those conversions (83.79% F1 score). We apply our methods to abstracts at PubMed scale to create a draft map of enzyme functions in literature to guide curation efforts in UniProtKB and the reaction knowledgebase Rhea. Show less

Thousands of genomes are publicly available, however, most genes in those genomes have poorly defined functions. This is partly due to a gap between previously published, experimentally characterized protein activities and activities deposited in databases. This activity deposition is bottlenecked by the time-consuming biocuration process. The emergence of large language models presents an opportunity to speed up the text-mining of protein activities for biocuration. Show less