Key Drug Target Research Articles

Genetic variation perspective reveals potential drug targets for subtypes of endometrial cancer

The study aims to identify potential drug targets for endometrial cancer (EC) subtypes through a Mendelian randomization (MR) approach, assessing their clinical relevance. We utilized genetic instruments for 4,907 plasma proteins from the deCODE Genetics study dataset, and data with EC (n = 12,906) from a genome-wide study (GWAS) meta-analysis in European populations for MR analyses. Complementary analyses included protein-protein interactions (PPI) network analysis, therapeutic efficacy evaluation, differential gene expression assessment, and prognosis evaluation. The expression levels of key drug targets were quantitatively measured at both the transcriptional and translational stages utilizing reverse transcription quantitative PCR (RT-qPCR) and immunohistochemistry (IHC). Additionally, we analyzed various clinicopathological features. Five drug targets for EC (CBR3, GSTO1, HHIP, IGF2R, and MMP10), seven for endometrioid subtypes (ACAP2, CBR3, GSTO1, HHIP, IGF2R, MMP10, and TLR2), and seven for non-endometrioid subtypes (CST3, DNAJB14, FSTL5, GMPR2, IFI16, MAPK9, and NEO1) were identified. Among these, IGF2R (OR = 1.165; 95% CI 1.067–1.272; p = 1.046 × 10− 2) and CST3 (OR = 0.523; 95% CI 0.339–0.804; p = 7.010 × 10− 3) were highlighted as key drug targets with causal evidence both at transcriptional and translational levels. This study preliminarily confirms that IGF2R and CST3 may serve as novel targets for the treatment of EC, providing a foundational reference for innovative clinical approaches to this disease.

Biogenesis of Cytochromes c and c1 in the Electron Transport Chain of Malaria Parasites.

Plasmodium malaria parasites retain an essential mitochondrional electron transport chain (ETC) that is critical for growth within humans and mosquitoes and is a key antimalarial drug target. ETC function requires cytochromes c and c1, which are unusual among heme proteins due to their covalent binding to heme via conserved CXXCH sequence motifs. Heme attachment to these proteins in most eukaryotes requires the mitochondrial enzyme holocytochrome c synthase (HCCS) that binds heme and the apo cytochrome to facilitate the biogenesis of the mature cytochrome c or c1. Although humans encode a single bifunctional HCCS that attaches heme to both proteins, Plasmodium parasites are like yeast and encode two separate HCCS homologues thought to be specific for heme attachment to cyt c (HCCS) or cyt c1 (HCC1S). To test the function and specificity of Plasmodium falciparum HCCS and HCC1S, we used CRISPR/Cas9 to tag both genes for conditional expression. HCC1S knockdown selectively impaired cyt c1 biogenesis and caused lethal ETC dysfunction that was not reversed by the overexpression of HCCS. Knockdown of HCCS caused a more modest growth defect but strongly sensitized parasites to mitochondrial depolarization by proguanil, revealing key defects in ETC function. These results and prior heterologous studies in Escherichia coli of cyt c hemylation by P. falciparum HCCS and HCC1S strongly suggest that both homologues are essential for mitochondrial ETC function and have distinct specificities for the biogenesis of cyt c and c1, respectively, in parasites. This study lays a foundation to develop novel strategies to selectively block ETC function in malaria parasites.

Cell‐Specific Optical Control of AMPA Glutamate Receptors with a Photoswitchable Tethered Antagonist

AbstractAMPA receptors (AMPARs) are the main drivers of excitatory glutamatergic transmission in the brain, central to synaptic plasticity, and are key drug targets. However, AMPARs are expressed in virtually every neuron in the central nervous system and are activated with complex temporal dynamics, making it difficult to determine their functional roles with sufficient precision. Here we describe a cell specific, light‐controllable competitive antagonist for the AMPA receptor called MP‐GluAblock that combines the temporal precision of a photo‐switchable ligand with the spatial and cellular specificity of a genetically‐encoded membrane‐anchor protein. This tool could pave the way for controlling endogenous AMPARs in neural circuits with cellular, spatial, and temporal specificity.

Cell-Specific Optical Control of AMPA Glutamate Receptors with a Photoswitchable Tethered Antagonist.

AMPA receptors (AMPARs) are the main drivers of excitatory glutamatergic transmission in the brain, central to synaptic plasticity, and are key drug targets. However, AMPARs are expressed in virtually every neuron in the central nervous system and are activated with complex temporal dynamics, making it difficult to determine their functional roles with sufficient precision. Here we describe a cell specific, light-controllable competitive antagonist for the AMPA receptor called MP-GluAblock that combines the temporal precision of a photo-switchable ligand with the spatial and cellular specificity of a genetically-encoded membrane-anchor protein. This tool could pave the way for controlling endogenous AMPARs in neural circuits with cellular, spatial, and temporal specificity.

Biogenesis of cytochromes c and c 1 in the electron transport chain of malaria parasites.

Plasmodium malaria parasites retain an essential mitochondrional electron transport chain (ETC) that is critical for growth within humans and mosquitoes and a key antimalarial drug target. ETC function requires cytochromes c and c 1 that are unusual among heme proteins due to their covalent binding to heme via conserved CXXCH sequence motifs. Heme attachment to these proteins in most eukaryotes requires the mitochondrial enzyme holocytochrome c synthase (HCCS) that binds heme and the apo cytochrome to facilitate biogenesis of the mature cytochrome c or c 1. Although humans encode a single bifunctional HCCS that attaches heme to both proteins, Plasmodium parasites are like yeast and encode two separate HCCS homologs thought to be specific for heme attachment to cyt c (HCCS) or cyt c 1 (HCC1S). To test the function and specificity of P. falciparum HCCS and HCC1S, we used CRISPR/Cas9 to tag both genes for conditional expression. HCC1S knockdown selectively impaired cyt c 1 biogenesis and caused lethal ETC dysfunction that was not reversed by over-expression of HCCS. Knockdown of HCCS caused a more modest growth defect but strongly sensitized parasites to mitochondrial depolarization by proguanil, revealing key defects in ETC function. These results and prior heterologous studies in E. coli of cyt c hemylation by P. falciparum HCCS and HCC1S strongly suggest that both homologs are essential for mitochondrial ETC function and have distinct specificities for biogenesis of cyt c and c 1, respectively, in parasites. This study lays a foundation to develop novel strategies to selectively block ETC function in malaria parasites.

The progress of Mycobacterium tuberculosis drug targets.

Tuberculosis (TB) has been troubling humans for hundreds of years, is a highly infectious disease caused by Mycobacterium tuberculosis (Mtb) infection, Mtb can infect almost all organs of the body and is one of the deadly infectious diseases in the world. At present, the first-line treatment regimen has a long treatment cycle and is prone to multiple drug resistance. Anti-tuberculosis drugs and latent tuberculosis infection (LTBI) resistance are increasing year by year, and new targets and new bioactive compounds are urgently needed to treat this disease. This review focuses on the latest reported anti-TB drug targets and related compounds in recent years, reviews the current TB drug regimen and major defects, outlines the key drug targets developed to date in Mtb, and the current situation of newly discovered anti-TB resistant forms of drugs. To provide a reference for the research and development of new anti-TB drugs and bring new treatment strategies for TB patients.

MMFA-DTA: Multimodal Feature Attention Fusion Network for Drug-Target Affinity Prediction for Drug Repurposing Against SARS-CoV-2.

The continuous emergence of novel infectious diseases poses a significant threat to global public health security, necessitating the development of small-molecule inhibitors that directly target pathogens. The RNA-dependent RNA polymerase (RdRp) and main protease (Mpro) of SARS-CoV-2 have been validated as potential key antiviral drug targets for the treatment of COVID-19. However, the conventional new drug R&D cycle takes 10-15 years, failing to meet the urgent needs during epidemics. Here, we propose a general multimodal deep learning framework for drug repurposing, MMFA-DTA, to enable rapid virtual screening of known drugs and significantly improve discovery efficiency. By extracting graph topological and sequence features from both small molecules and proteins, we design attention mechanisms to achieve dynamic fusion across modalities. Results demonstrate the superior performance of MMFA-DTA in drug-target affinity prediction over several state-of-the-art baseline methods on Davis and KIBA data sets, validating the benefits of heterogeneous information integration for representation learning and interaction modeling. Further fine-tuning on COVID-19-relevant bioactivity data enhances model predictions for critical SARS-CoV-2 enzymes. Case studies screening the FDA-approved drug library successfully identify etacrynic acid as the potential lead compound against both RdRp and Mpro. Molecular dynamics simulations further confirm the stability and binding affinity of etacrynic acid to these targets. This study proves the great potential and advantages of deep learning and drug repurposing strategies in supporting antiviral drug discovery. The proposed general and rapid response computational framework holds significance for preparedness against future public health events.

Transport mechanism and structural pharmacology of human urate transporter URAT1

Urate is an endogenous product of purine metabolism in the liver. High urate levels in the blood lead to gout, a very common and painful inflammatory arthritis. Excreted urate is reabsorbed in the kidney mainly by URAT1 antiporter, a key target for anti-gout drugs. To uncover the mechanisms of urate transport and drug inhibition, we determined cryo-EM structures of human URAT1 with urate, counter anion pyrazinoate, or anti-gout drugs of different chemotypes — lesinurad, verinurad, and dotinurad. We captured the outward-to-inward transition of URAT1 during urate uptake, revealing that urate binds in a phenylalanine-rich pocket and engages with key gating residues to drive the transport cycle. In contrast to the single binding site for urate, pyrazinoate interacts with three distinct, functionally relevant sites within URAT1, a mechanism that has not yet been observed in other anion antiporters. In addition, we found that while all three drugs compete with substrates and halt the transport cycle, verinurad and dotinurad further hijack gating residues to achieve high potency. These insights advance our understanding of organic anion transport and provide a foundation for designing improved gout therapeutics.

Bioinformatics Analysis Screening and Identification of Key Biomarkers and Drug Targets in Human Glioblastoma.

Glioblastoma is the most common type of brain cancer, with a prognosis that is unfortunately poor. Despite considerable progress in the field, the intricate molecular basis of this cancer remains elusive. The aim of this study was to identify genetic indicators of glioblastoma and reveal the processes behind its development. The advent and integration of supercomputing technology have led to a significant advancement in gene expression analysis platforms. Microarray analysis has gained recognition for its pivotal role in oncology, crucial for the molecular categorization of tumors, diagnosis, prognosis, stratification of patients, forecasting tumor responses, and pinpointing new targets for drug discovery. Numerous databases dedicated to cancer research, including the Gene Expression Omnibus (GEO) database, have been established. Identifying differentially expressed genes (DEGs) and key genes deepens our understanding of the initiation of glioblastoma, potentially unveiling novel markers for diagnosis and prognosis, as well as targets for the treatment of glioblastoma. This research sought to discover genes implicated in the development and progression of glioblastoma by analyzing microarray datasets GSE13276, GSE14805, and GSE109857 from the GEO database. DEGs were identified, and a function enrichment analysis was performed. Additionally, a protein-protein interaction network (PPI) was constructed, followed by module analysis using the tools STRING and Cytoscape. The analysis yielded 88 DEGs, consisting of 66 upregulated and 22 downregulated genes. These genes' functions and pathways primarily involved microtubule activity, mitotic cytokinesis, cerebral cortex development, localization of proteins to the kinetochore, and the condensation of chromosomes during mitosis. A group of 27 pivotal genes was pinpointed, with biological process analysis indicating significant enrichment in activities, such as division of the nucleus during mitosis, cell division, maintaining cohesion between sister chromatids, segregation of sister chromatids during mitosis, and cytokinesis. The survival analysis indicated that certain genes, including PCNA clamp-associated factor (PCLAF), ribonucleoside- diphosphate reductase subunit M2 (RRM2), nucleolar and spindle-associated protein 1 (NUSAP1), and kinesin family member 23 (KIF23), could be instrumental in the development, invasion, or recurrence of glioblastoma. The identification of DEGs and key genes in this study advances our comprehension of the molecular pathways that contribute to the oncogenesis and progression of glioblastoma. This research provides valuable insights into potential diagnostic and therapeutic targets for glioblastoma.

Venom peptides unlock dysfunctional ion channels in motor neurodegeneration and shed light onto pathophysiology and key drug targets

Venom peptides unlock dysfunctional ion channels in motor neurodegeneration and shed light onto pathophysiology and key drug targets

A computational study of buckyballs as potential inhibitors of BACE1 in Alzheimer’s treatment

Alzheimer’s disease, marked by cognitive decline and memory loss, involves BACE1 in generating Aβ peptides, making it a key drug target. This study screened 129 buckyball ligands using molecular docking, identifying three promising compounds (4_C26_d3hc, 8_C20_Ih, and 16_C24_d6d) that fit within the BACE1 binding site. Molecular dynamics simulations highlighted thirteen BACE1 residues crucial for binding to buckyball ligands. The binding affinities of these ligands were also revealed via free energy perturbation (FEP), with 4_C26_d3hc demonstrating the greatest potential. This work lays the foundation for developing new BACE1 inhibitors using buckyball structures, offering a promising approach for Alzheimer’s therapy.

AutoDock and molecular dynamics-based therapeutic potential prediction of flavonoids for primary Sjögren's syndrome

Primary Sjögren's Syndrome (pSS) is a systemic autoimmune disease that leads to reduced saliva production, primarily affecting women due to estrogen deficiency. The estrogen receptor α (ERα) plays a crucial role in mediating the expression of the aquaporin 5 (AQP5) gene through the estrogen response element-dependent signaling pathway, making ERα a key drug target for pSS. Several flavonoids have been reported to have the potential to treat pSS. This study aimed to screen and compare flavonoids binding to ERα using AutoDock, providing a basis for treating pSS with flavonoids. The estrogenic potential of six representative flavonoids was examined in this study. Molecular docking revealed that the binding energy of all six flavonoids to ERα was less than −5.6 kcal/mol. Apigenin, naringenin, and daidzein were the top three flavonoids with even lower binding energies of −7.8, −8.09, and −8.59 kcal/mol, respectively. Similar to the positive control estradiol, apigenin, naringenin, and daidzein showed hydrogen bond interactions with GLU353, GLY521, and HIS524 at the active site. The results of luciferase reporter assays demonstrated that apigenin, naringenin, and daidzein significantly enhanced the transcription of estrogen receptor element (ERE) in the PGL3/AQP5 promoter. Furthermore, molecular dynamics simulations using GROMACS for a time scale of 100 ns revealed relatively stable binding of apigenin-ERα, naringenin-ERα, and daidzein-ERα. Mechanistically, homology modeling indicated that GLU353, GLY521, and HIS524 were the key residues of ERα exerting an estrogenic effect. The therapeutic effect of apigenin on dry mouth in pSS models was further validated. In conclusion, these results indicate the estrogenic and pSS therapeutic potential of apigenin, naringenin, and daidzein.

Identification of phytoconstituents from Houttuynia cordata Thunb. as dipeptidyl peptidase-IV and sodium glucose cotransporter 2 inhibitors guided by molecular docking

PurposeHouttuynia cordata Thunb. is an edible medicinal herb belonging to the Saururaceae family. Although the effects of the plant extracts on several diabetic-related parameters have been documented in the past, there is no documentation of the effects of this plant on sodium/glucose cotransporter 2 or dipeptidyl peptidase-IV- key drug targets for type 2 diabetes. The present study identified and screened phytoconstituents present in H. cordata Thunb. and characterized their ADME/Tox properties. The compounds present in aqueous and hydroalcoholic extracts of H. cordata Thunb. were identified using High-Performance Thin Layer Chromatography, and Gas Chromatography tandem mass spectrometry. Compounds obeying the Lipinski's Rule of 5 and having high gastrointestinal absorption were then selected and docked with dipeptidyl peptidase-IV and sodium/glucose cotransporter 2. ResultsChromatographic analysis showed the presence of several compounds by matching their recorded spectra with the data bank mass spectra from the NIST library. ADME/Tox properties and docking of the identified compounds indicate the potentiality of the compounds as antidiabetic drug candidates. ConclusionsThe compounds from Houttuynia cordata have good binding affinities to peptidase-IV and sodium/glucose cotransporter 2 and can therefore be used as their inhibitors. However, isolation of these phytoconstituents and their in vivo activity will help give a better insight and will open a new area of investigation of individual components and their pharmacological potency.

SARS-CoV-2 Mpro responds to oxidation by forming disulfide and NOS/SONOS bonds

The main protease (Mpro) of SARS-CoV-2 is critical for viral function and a key drug target. Mpro is only active when reduced; turnover ceases upon oxidation but is restored by re-reduction. This suggests the system has evolved to survive periods in an oxidative environment, but the mechanism of this protection has not been confirmed. Here, we report a crystal structure of oxidized Mpro showing a disulfide bond between the active site cysteine, C145, and a distal cysteine, C117. Previous work proposed this disulfide provides the mechanism of protection from irreversible oxidation. Mpro forms an obligate homodimer, and the C117-C145 structure shows disruption of interactions bridging the dimer interface, implying a correlation between oxidation and dimerization. We confirm dimer stability is weakened in solution upon oxidation. Finally, we observe the protein’s crystallization behavior is linked to its redox state. Oxidized Mpro spontaneously forms a distinct, more loosely packed lattice. Seeding with crystals of this lattice yields a structure with an oxidation pattern incorporating one cysteine-lysine-cysteine (SONOS) and two lysine-cysteine (NOS) bridges. These structures further our understanding of the oxidative regulation of Mpro and the crystallization conditions necessary to study this structurally.

Identification of Potent and Selective Inhibitors of Acanthamoeba: Structural Insights into Sterol 14α-Demethylase as a Key Drug Target.

Acanthamoeba are free-living pathogenic protozoa that cause blinding keratitis, disseminated infection, and granulomatous amebic encephalitis, which is generally fatal. The development of efficient and safe drugs is a critical unmet need. Acanthamoeba sterol 14α-demethylase (CYP51) is an essential enzyme of the sterol biosynthetic pathway. Repurposing antifungal azoles for amoebic infections has been reported, but their inhibitory effects on Acanthamoeba CYP51 enzymatic activity have not been studied. Here, we report catalytic properties, inhibition, and structural characterization of CYP51 from Acanthamoeba castellanii. The enzyme displays a 100-fold substrate preference for obtusifoliol over lanosterol, supporting the plant-like cycloartenol-based pathway in the pathogen. The strongest inhibition was observed with voriconazole (1 h IC50 0.45 μM), VT1598 (0.25 μM), and VT1161 (0.20 μM). The crystal structures of A. castellanii CYP51 with bound VT1161 (2.24 Å) and without an inhibitor (1.95 Å), presented here, can be used in the development of azole-based scaffolds to achieve optimal amoebicidal effectiveness.

Exploring the interaction of biologically active compounds with DNA through the application of the SwitchSense technique, UV–Vis spectroscopy, and computational methods

DNA is a key target for anticancer and antimicrobial drugs. Assessing the bioactivity of compounds involves in silico and instrumental studies to determine their affinity for biomolecules like DNA. This study explores the potential of the switchSense technique in rapidly evaluating compound bioactivity towards DNA. By combining switchSense with computational methods and UV–Vis spectrophotometry, various bioactive compounds' interactions with DNA were analyzed. The objects of the study were: netropsin (as a model compound that binds in the helical groove), as well as derivatives of pyrazine (PTCA), sulfonamide (NbutylS), and anthraquinone (AQ-NetOH). Though no direct correlation was found between switchSense kinetics and binding modes, this research suggests the technique's broader utility in assessing new compounds' interactions with DNA. used as analytes whose interactions with DNA have not been yet fully described in the literature.

Probing the stability and interdomain interactions in the ABC transporter OpuA using single-molecule optical tweezers

Transmembrane transporter proteins are essential for maintaining cellular homeostasis and, as such, are key drug targets. Many transmembrane transporter proteins are known to undergo large structural rearrangements during their functional cycles. Despite the wealth of detailed structural and functional data available for these systems, our understanding of their dynamics and, consequently, how they function is generally limited. We introduce an innovative approach that enables us to directly measure the dynamics and stability of interdomain interactions of transmembrane proteins using optical tweezers. Focusing on the osmoregulatory ATP-binding cassette transporter OpuA from Lactococcus lactis, we examine the mechanical properties and potential interactions of its substrate-binding domains. Our measurements are performed in lipid nanodiscs, providing a native-mimicking environment for the transmembrane protein. The technique provides high spatial and temporal resolution and allows us to study the functionally relevant motions and interdomain interactions of individual transmembrane transporter proteins in real time in a lipid bilayer.

Discovery of drug targets based on traditional Chinese medicine microspheres (TCM-MPs) fishing strategy combined with bio-layer interferometry (BLI) technology

Target discovery of natural products is a key step in the development of new drugs, and it is also a difficult speed-limiting step. In this study, a traditional Chinese medicine microspheres (TCM-MPs) target fishing strategy was developed to discover the key drug targets from complex system. The microspheres are composed of Fe3O4 magnetic nanolayer, oleic acid modified layer, the photoaffinity group (4- [3-(Trifluoromethyl)-3H-diazirin-3-yl] benzoic acid, TAD) layer and active small molecule layer from inside to outside. TAD produces highly reactive carbene under ultraviolet light, which can realize the self-assembly and fixation of drug active small molecules with non-selective properties. Here, taking Shenqi Jiangtang Granules (SJG) as an example, the constructed TCM-MPs was used to fish the related proteins of human glomerular mesangial cells (HMCs) lysate. 28 differential proteins were screened. According to the target analysis based on bioinformatics, GNAS was selected as the key target, which participated in insulin secretion and cAMP signaling pathway. To further verify the interaction effect of GNAS and small molecules, a reverse fishing technique was established based on bio-layer interferometry (BLI) coupled with UHPLC-Q/TOF-MS/MS. The results displayed that 26 small molecules may potentially interact with GNAS, and 7 of them were found to have strong binding activity. In vitro experiments for HMCs have shown that 7 active compounds can significantly activate the cAMP pathway by binding to GNAS. The developed TCM-MPs target fishing strategy combined with BLI reverse fishing technology to screen out key proteins that directly interact with active ingredients from complex target protein systems is significant for the discovery of drug targets for complex systems of TCM.

Targeting MurB from Helicobacter pylori: insights from virtual screening, molecular docking and molecular dynamics simulation

ABSTRACT Helicobacter pylori is a gram-negative, helical-shaped bacteria found in the mucus lining of the stomach of humans responsible for causing sores or an ulcer. H. pylori is becoming a multi-drug resistant bacterium, which in turn demands the need for development of alternative treatment strategies for the proper management of diseases. The peptidoglycan biosynthesis pathway is critical for the synthesis of cell walls and for the survival of H. pylori. There are several crucial enzymes in this biosynthesis pathway which can act as significant drug targets against H. pylori. One of these important enzymes is UDP-N-acetylenolpyruvoylglucosamine reductase (MurB), which catalyses an important committed step of cell wall biosynthesis. In the present study, we performed a high throughput virtual screening using the Enamine HTSC library against the MurB enzyme. The molecules were also screened for druglike properties by ADME screening, toxicity, and tumorigenic nature, followed by MD simulations. We found that Z102621114_1 and Z228235240_1 ligand molecules can act as potential inhibitors of MurB protein. Our results suggest, these molecules may be able to meet the demand for novel antimicrobials to treat H. pylori medication resistance. The subsequent experimental investigations can increase their potential as a novel agents against H. pylori infections. Research highlights Helicobacter pylori infects 50% of the Global population. Helicobacter pylori infection is associated with gastric cancer. MurB is a key drug target protein as it is responsible for cell wall synthesis. Z102621114_1 and Z228235240_1 were identified as potential inhibitors of MurB of Helicobacter pylori.

Network pharmacology and molecular docking analysis on Shenfu Qiangxin indicate mTOR is a potential target to treat heart failure

BackgroundHeart failure (HF) is one of the major causes of mortality worldwide with high recurrence rate and poor prognosis. Our study aimed to investigate potential mechanisms and drug targets of Shenfu Qiangxin (SFQX), a cardiotonic-diuretic traditional Chinese medicine, in treating HF.MethodsAn HF-related and SFQX-targeted gene set was established using disease-gene databases and the Traditional Chinese Medicine Systems Pharmacology database. We performed gene function and pathway enrichment analysis and constructed protein–protein interaction (PPI) network to investigate the potential mechanisms. We also performed molecular docking to analyze the interaction patterns between the active compounds and targeted protein.ResultsA gene set with 217 genes was identified. The gene function enrichment indicated that SFQX can regulate apoptotic process, inflammatory response, response to oxidative stress and cellular response to hypoxia. The pathway enrichment indicated that most genes were involved in PI3K–Akt pathway. Eighteen hub target genes were identified in PPI network and subnetworks. mTOR was the key gene among hub genes, which are involved in PI3K–Akt pathway. The molecular docking analysis indicated that 6 active compounds of SFQX can bind to the kinase domain of mTOR, which exerted potential therapeutic mechanisms of SFQX in treating HF.ConclusionsThe results of network pharmacology analysis highlight the intervention on PI3K–Akt pathway of SFQX in the treatment of HF. mTOR is a key drug target to help protect myocardium.