Product Library Research Articles

Targeting AI-2 quorum sensing: harnessing natural products against Streptococcus suis biofilm infection

The biofilm acts as a protective layer for Streptococcus suis (S. suis), contributing to the development of drug resistance and chronic infections. Autoinducer 2 (AI-2) quorum sensing represents the primary regulatory pathway governing biofilm formation in S. suis. Consequently, targeting AI-2 quorum sensing to inhibit biofilm formation represents a promising strategy for preventing and managing drug resistance and chronic infections caused by S. suis. This study established a small natural product library by integrating commercial drug molecules with Chinese herbal medicine molecules. Consequently, two natural products, salvianolic acid A (SAA) and rhapontin (RH), which target S. suis AI-2 via quorum sensing, were identified. SAA and RH inhibit AI-2 synthesis through noncompetitive and competitive binding to S-ribosylhomocysteinase (LuxS). By inhibiting S. suis AI-2 quorum sensing, these compounds modulate the expression of adhesion genes and the synthesis of extracellular polysaccharides (EPS), reducing the adhesion ability of S. suis and ultimately inhibiting biofilm formation. Using LC‒MS/MS, we further analysed the impact of SAA and RH on the metabolic activity of S. suis, revealing the potential medicinal value of these compounds. Finally, the efficacy of SAA and RH against S. suis infection was validated in Galleria mellonella larvae, confirming their significant anti-infection effects.

Berbamine inhibits Pseudorabies virus in vitro and in vivo.

Pseudorabies virus (PRV) is a significant pathogen that causes acute infectious diseases in pigs, resulting in considerable economic losses for the global pig industry. The lack of effective control measures and vaccines against the circulating variants of PRV highlights the pressing need for novel treatment strategies. In this study, a screening of a natural product library identified Berbamine as a promising compound that inhibits PRV replication, with a selectivity index of 17. Preliminary investigations demonstrated that Berbamine impedes viral proliferation by targeting the replication and release stages of the PRV life cycle. In experiments with mice artificially infected with PRV, Berbamine significantly alleviated clinical symptoms and histopathological changes in brain tissue caused by PRV infection. Furthermore, molecular docking studies indicated that Berbamine targets the UL50 protein, not only of PRV but also of HSV-1, FHV-1, and BoHV-1. Given that the UL50 protein is a promising target for antiviral drug development, Berbamine holds considerable potential for broad application in antiviral therapies.

Identification of DDR1 Inhibitors from Marine Compound Library Based on Pharmacophore Model and Scaffold Hopping

Ulcerative colitis (UC) is a chronic inflammatory condition that affects the intestines. Research has shown that reducing the activity of DDR1 can help maintain intestinal barrier function in UC, making DDR1 a promising target for treatment. However, the development of DDR1 inhibitors as drugs has been hindered by issues such as toxicity and poor binding stability. As a result, there are currently no DDR1-targeting drugs available for clinical use, highlighting the need for new inhibitors. In a recent study, a dataset of 85 DDR1 inhibitors was analyzed to identify key characteristics for effective inhibition. A pharmacophore model was constructed and validated to screen a library of marine natural products for potential DDR1 inhibitors. Through high-throughput virtual screening and precise docking, 17 promising compounds were identified from a pool of over 52,000 molecules in the marine database. To improve binding affinity and reduce potential toxicity, scaffold hopping was employed to modify the 17 compounds, resulting in the generation of 1070 new compounds. These new compounds were further evaluated through docking and ADMET analysis, leading to the identification of three compounds—39713a, 34346a, and 34419a—with superior predicted activity and drug-like properties compared to the original 17 compounds. Further analysis showed that the binding free energy values of the three candidate compounds were less than −12.200 kcal/mol, which was similar to or better than −12.377 kcal/mol of the known positive compound VU6015929, and the drug-like properties were better than those of the positive compounds. Molecular dynamics simulations were then conducted on these three candidate compounds, confirming their stable interactions with the target protein. In conclusion, compounds 39713a, 34346a, and 34419a show promise as potential DDR1 inhibitors for the treatment of ulcerative colitis.

Identifying Natural Products as Feline Coronavirus Mpro Inhibitors by Structural-Based Virtual Screening and Enzyme-Based Assays.

The main protease (Mpro) is a pivotal target in the life cycle of feline coronavirus (FCoV), which causes a high mortality feline disease, feline infectious peritonitis (FIP). Virtual screening was performed against the feline coronavirus Mpro to find active compounds with low toxicity from a library of natural products. Eighty-six compounds were selected by using the rank of docking score and binding pose analysis. In the enzyme-based assay, 12 compounds showed a more than 40% inhibitory effect on Mpro at a concentration of 200 μmol/L. The IC50 values of theaflavin 3,3'-digallate (25.0 μmol/L), sennoside C (25.2 μmol/L), pinocembrin-galloyl-HHDP-G (33.3 μmol/L), and thonningianin A (50.6 μmol/L) were determined. In addition, curcuminoids (51.7-64.3% under 200 μmol/L) and flavonoids (41.3-60.3% under 200 μmol/L) also exhibited certain inhibitory effects on Mpro. Molecular dynamics simulations and binding free energy calculations were employed to reveal the atomic details of the binding of these compounds with Mpro. The results showed that most of the compounds formed significant interactions with key residues on the catalytic site, such as His-41, Cys-144, and Glu-165. These compounds could serve as a starting point to develop FCoV Mpro inhibitors with high potency.

High-Throughput Screening Strategy and Metal-Organic Framework-Based Multifunctional Controlled-Release Nanomaterial for Osteoarthritis Therapy.

Osteoarthritis (OA) is a prevalent degenerative disease that lacks effective therapy. Oxidative stress is one of the major factors contributing to OA; however, treatments targeting oxidative stress are still lacking. In the current study, we established an oxidative stress-induced cell death model in chondrocytes in vitro and screened drugs that may suppress oxidative stress-induced cell death. Ethyl gallate (EG) was identified as the most potent drug against oxidative stress-induced cell death out of more than 600 drugs in the natural product library. Application of drugs without an appropriate delivery system for OA therapy may have drawbacks such as low bioavailability, short action time, and poor efficacy. Herein, poly-His6-zinc assembly (PZA), a pH-responsive metal-organic framework (MOF) loaded with EG (EG@PZA) was designed for OA therapy. It was demonstrated that EG@PZA may have the lysosome escape property, which dramatically increases the utilization of EG. Furthermore, EG@PZA showed enhanced release capability of EG in the acidic microenvironment. In vitro and in vivo studies demonstrated that EG@PZA effectively suppresses oxidative stress-induced extracellular matrix degradation, ferroptosis, and senescence in chondrocytes and also ameliorates OA in the destabilization of the medial meniscus (DMM) mouse model in vivo. Together, the current study showed that EG@PZA may become a potential controlled-release nanomaterial for effective OA therapy.

Decitabine Increases the Transcription of RIG-I Gene to Suppress the Replication of Feline Calicivirus and Canine Influenza Virus.

Developing novel antiviral drugs has always been a significant forefront in biological medicine research. Antiviral drugs can be extracted, purified, and synthesized from various biological sources and by different methods. However, they are less explored in veterinary medicine for animal viruses. This research primarily selected feline calicivirus (FCV) to screen the novel antiviral drug against animal viruses. A preliminary screening from a natural product library was conducted, with subsequent assessments to ascertain their toxicity levels and antiviral capabilities. The results showed that decitabine and alprostadil were effective in reducing FCV replication. The decitabine (5-aza-2'-deoxycytidine) was selected for antiviral mechanism investigation. Decitabine has been proven to modulate gene expression through its demethylating effect. Thus, we carried out further experiments and found that decitabine inhibited the FCV by enhancing the transcription of the feline Retinoic acid-inducible gene I (RIG-I) gene. Moreover, we also validated the same antiviral effect and mechanism of decitabine against the canine influenza virus (CIV). In summary, this study unveils the antiviral role of decitabine against FCV and CIV and provides evidence and novel insights into the demethylation drug-mediated antiviral effect for animal RNA viruses.

A customization design platform for school uniforms using the Kano model

PurposeThis study aims to explore a methodology based on the Kano model. And use this method to determine user requirement attributes in the field of school uniform customization. To construct a set of processes that can be used as a reference for constructing a clothing customization platform.Design/methodology/approachAn optimized quantitative Kano model was applied. Initially, a survey was conducted to assess the current market for customized school uniforms in China. Subsequently, a Kano attribute questionnaire was developed, and experts from both supply and procurement sectors were invited to evaluate it. This was followed by categorizing user demands based on the Kano model’s evaluation criteria and conducting a validity analysis using Cronbach’s alpha coefficient. The priority ranking of user demands was determined through a sensitivity analysis of better-worse coefficients. Ultimately, a platform was established, and a fuzzy comprehensive evaluation was conducted.FindingsRegarding user demands, procurement-side demand elements prioritize modular design, fabric libraries and online reviews. In contrast, supply-side demand elements focus on style product libraries, layout adaptation to user habits and the preview effects of 3D models. Elements such as qualification verification, personal information uploading, design draft archiving and main tag categorization have a lesser impact on user satisfaction.Originality/valueThe results of the study provide a complete methodological reference for the construction of a garment customization platform. By applying the Kano model, this study categorizes and filters the demands of users for school uniform customization design platforms in China and establishes a 3D virtual display platform aimed at improving user satisfaction.

Establishing a Pharmacoinformatics Repository of Approved Medicines: A Database to Support Drug Product Development.

Advanced predictive modeling approaches have harnessed data to fuel important innovations at all stages of drug development. However, the need for a machine-readable drug product library which consolidates many aspects of formulation design and performance remains largely unmet. This study presents a scripted, reproducible approach to database curation and explores its potential to streamline oral medicine development. The Product Information files for all centrally authorized drug products containing a small molecule active ingredient were retrieved programmatically from the European Medicines Agency Web site. Text processing isolated relevant information, including the maximum clinical dose, dosage form, route of administration, excipients, and pharmacokinetic performance. Chemical and bioactivity data were integrated through automated linking to external curated databases. The capability of this database to inform oral medicine development was assessed in the context of drug-likeness evaluation, excipient selection, and prediction of oral fraction absorbed. Existing filters of drug-likeness, such as the Rule of Five, were found to poorly capture the chemical space of marketed oral drug products. Association rule learning identified frequent patterns in tablet formulation compositions that can be used to establish excipient combinations that have seen clinical success. Binary prediction models of oral fraction absorbed constructed exclusively from regulatory data achieved acceptable performance (balanced accuracytest = 0.725), demonstrating its modelability and potential for use during early stage molecule prioritization tasks. This study illustrates the impact of highly linked drug product data in accelerating clinical translation and underlines the ongoing need for accuracy and completeness of data reported in the regulatory datasphere.

Bioinspired Total Synthesis of Polycyclic Natural Products

Despite the great strides in biopharmaceuticals and monoclonal antibodies today, natural products remain highly attractive as drug candidates. Therefore, building a library of natural products through total synthesis is critically important for drug discovery. This perspective article details the collective total synthesis of polycyclic natural products using "bioinspired reactions" that mimic natural product biosynthesis. It discusses the total syntheses of 20 natural products, including dimeric diketopiperazine alkaloids, monoterpenoid indole alkaloids, and iridoid glycosides, each achieved in fewer than 14 steps starting from commercially available materials.

Identifying ENO1 as a protein target of chlorogenic acid to inhibit cellular senescence and prevent skin photoaging in mice.

Cellular senescence plays a critical role in repeated ultraviolet (UV) exposure-induced skin photoaging. Currently, from the perspective of regulating senescent cells, potent compounds or reliable protein targets that could effectively prevent skin photoaging have not yet been reported. Herein, we demonstrated that chlorogenic acid (CGA) significantly inhibited UVA-induced senescence of human dermis skin fibroblasts (HDF) cells by screening the natural product library. The activity-based protein profiling (ABPP) result revealed that Enolase 1 (ENO1) is one of the direct targets of CGA in HDF cells. Further mechanism research indicated that CGA covalently binds to ENO1, and prevented UVA-induced cellular senescence by suppressing the activity of ENO1 protein to block the glycolytic pathway. Importantly, we found that CGA dose-dependently reduced the skin wrinkle score, alleviated skin pathological features and inhibited senescent characteristics in a photoaging mouse model. The proteomic analysis revealed that CGA treatment effectively inhibited senescence-associated secretory phenotype (SASP) secretion and glycolysis in skin samples of mice. Collectively, our study not only demonstrated that inhibiting cell senescence is an effective anti-skin photoaging strategy, but also revealed that ENO1 is a promising protein target to prevent photoaging.

Expanding PFAS Identification with Transformation Product Libraries: Nontargeted Analysis Reveals Biotransformation Products in Mice.

Per- and polyfluoroalkyl substances (PFAS) are widely used persistent synthetic chemicals that have been linked to adverse health effects. While the behavior of PFAS has been evaluated in the environment, our understanding of reaction products in mammalian systems is limited. This study identified biological PFAS transformation products and generated mass spectral libraries to facilitate an automated search and identification. The biological transformation products of 27 PFAS, spanning 5 chemical subclasses (alcohols, sulfonamides, carboxylic acids, ethers, and esters), were evaluated following enzymatic reaction with mouse liver S9 fractions. Four major pathways were identified by liquid chromatography-high-resolution mass spectrometry: glucuronidation, sulfation, dealkylation, and oxidation. Class-based fragmentation rules and associated PFAS transformation product libraries were generated and integrated into an automated nontargeted PFAS data analysis software (FluoroMatch). Fragmentation was additionally predicted for the potential transformation products of more than 2,500 PFAS in the EPA CompTox Chemicals Dashboard PFASSTRUCTv4. Generated mass spectral libraries were validated by applying FluoroMatch to a data set of urine from aqueous film-forming foam (AFFF)-dosed mice. Toxicity predictions showed identified PFAS transformation products to be potential developmental and mutagenic toxicants. This research enables more comprehensive PFAS characterization in biological systems, which will improve the assessment of exposures and evaluation of the associated health impacts.

Hypocrellin A from an ethnic medicinal fungus protects against NLRP3-driven gout in mice by suppressing inflammasome activation.

Abnormal activation of NLRP3 inflammasome causes the progression of gout, and no small-molecule inhibitor of NLRP3 has been approved yet for clinical use. In this study we established a nigericin-induced inflammasome activation cell model for screening of a natural product library by measuring IL-1β secretion in cell supernatants. Among 432 compounds tested, we found that hypocrellin A (HA), one of the major active components of a traditional ethnic medicinal fungus Hypocrella bambusea in the Northwest Yunnan of China, exhibited the highest inhibition on IL-1β production (IC50 = 0.103 μM). In PMA-primed THP-1 cells or bone marrow derived macrophages (BMDMs) treated with multiple stimuli (nigericin, ATP or MSU), HA dose-dependently suppressed the activation of NLRP3 inflammasome, reducing the subsequent release of inflammatory cytokines and LDH. Furthermore, the suppression of inflammasome activation by HA was specific to NLRP3, but not to AIM2 or NLRC4. In LPS-primed BMDMs treated with nigericin, HA inhibited ASC oligomerization and speckle formation, and blocked the NLRP3-NEK7 interaction during inflammasome assembly without influencing the priming stage. Moreover, we demonstrated that HA directly bound to the NACHT domain of NLRP3, and that Arg578 and Glu629 were the critical residues for HA binding to NLRP3. In MSU-induced peritonitis and acute gouty arthritis mouse models, administration of HA (10 mg/kg, i.p., once or twice daily) effectively suppressed the inflammatory responses mediated by NLRP3 inflammasome. We conclude that HA is a broad-spectrum and specific NLRP3 inhibitor, and a valuable lead compound to develop novel therapeutic inhibitors against NLRP3-driven diseases. This study also elucidates the anti-inflammation mechanisms and molecular targets of HA, a major active component in medicinal fungus Hypocrella bambusea that has been long used by Chinese ethnic groups.

Organophotocatalytic Reduction of Benzenes to Cyclohexenes.

The reduction of abundant benzene rings to scarce C(sp3)-rich motifs is invaluable for drug design, as C(sp3) content is known to correlate with clinical success. Cyclohexenes are attractive targets, as they can be rapidly elaborated into large product libraries and are stable against rearomatization. However, partial reduction reactions of benzenes to cyclohexenes are rare and have a very narrow scope. Herein we report a broadly applicable method that converts electron-poor benzenes to cyclohexenes and tolerates Lewis-basic functional groups such as triazoles and thioethers as well as reducible groups such as cyanides, alkynes, and sulfones. The reaction utilizes an organic donor that induces mild arene reduction by preassociation to a photoexcitable electron donor-acceptor (EDA) complex and mild isomerization of redox-inert 1,4-cyclohexadienes to reducible 1,3-cyclohexadienes without a strong base in its oxidized thioquinone methide form.

Disease modifying osteoarthritis drug discovery using a temporal phenotypic reporter in 3D aggregates of primary human chondrocytes.

Our aim was to develop a novel approach to identify disease-modifying drugs for osteoarthritis (OA), focusing on stimulating type II collagen anabolism in chondrocytes. As ELISA or western blot are destructive, laborious and time consuming, primary human chondrocytes expressing Gaussia luciferase under the control of the type II collagen promoter were developed and used. We cultured them in 3D cartilage aggregates under physioxia, to temporally screen a natural product library over 3-weeks. Hit compounds were analyzed for their potential targets in silico, first by structure, then by RNA-Seq. Two hit compounds were then further analyzed using biochemical assays, dose-response curves, and histological analyses to confirm their effects on type II collagen expression and chondrogenesis. Aromoline shows promise as a potential disease modifying compound, demonstrating an increase in type II collagen expression within cartilage sourced from chondrocytes of three distinct donors. Aromoline is a bisbenzylisoquinoline alkaloid that has been studied for its antiproliferative, anti-inflammatory, and antimicrobial properties, and we are the first to explore its effects on chondrocytes and chondrogenesis. In silico analysis revealed the dopamine receptor D4 (DRD4) as a potential target, confirmed by type II collagen upregulation after aromoline treatment and with DRD4-specific agonist ABT-724. This novel approach combining in silico and in vitro methods provides a platform for drug discovery in a challenging and under-researched area. In conclusion, a novel drug (aromoline) and target receptor (DRD4) were identified as stimulating type II collagen, with the future goal of treating or preventing OA.

Lycorine protects motor neurons against TDP-43 proteinopathy-induced degeneration in cross-species models with amyotrophic lateral sclerosis

Aggregation of TAR-DNA binding protein-43 (TDP-43) is a pathological feature present in nearly 97 % cases of amyotrophic lateral sclerosis (ALS), making it an attractive target for pathogenic studies and drug screening. Here, we have performed a high-throughput screening of 1500 compounds from a natural product library and identified that lycorine, a naturally occurring alkaloid, significantly decreases the level of TDP-43A315T in a cellular model. We further demonstrate that lycorine reduces the level of TDP-43A315T both through inhibiting its synthesis and by promoting its degradation by the ubiquitin-proteasome system (UPS). Importantly, treatment with lycorine significantly attenuates TDP-43 proteinopathy and improves functional recovery in TDP-43A315T-expressing Caenorhabditis elegans and mouse models. These findings suggest that lycorine is a promising lead compound that has therapeutic potential for ALS.

High-throughput screening-based design of multifunctional natural polyphenol nano-vesicles to accelerate diabetic wound healing

Oxidative stress is a major pathological factor that impedes the diabetic wound healing process. Procyanidins (PC) form nanoparticle-vesicles (PPNs) through hydrogen bonding and exhibit good drug delivery capability; however, their application in diabetic wounds is unsatisfactory. To meet the antioxidant needs for treating, high-throughput screening in the natural product library (NPL) under in vitro oxidative stress conditions was conducted to enhance the antioxidant activity of PPNs. HUVECs treated with tert-Butyl Hydroperoxide (TBHP) were established as screening model in vitro. Baicalein (BAI) was identified from over 600 products in the library as the most effective one to combat oxidative stress. Further study showed that PC and BAI may react in equal proportions to synthesize new vesicles, named BAI-PC Polyphenolic nanovesicles (BPPNs), which possess reactive oxygen species (ROS) responsive and antioxidant effects. Network pharmacology indicated that in diabetic wounds, the target genes of PC are mainly enriched in the vascular endothelial growth factor (VEGF)-related pathways, while BAI primarily regulates tyrosine phosphorylation. The complementarity between the two has been validated in both in vitro and in vivo experiments. In summary, the antioxidant drug BAI, identified through high-throughput screening of NPL, could optimize the biological function of PPNs; the newly-synthesized BPPNs may accelerate diabetic wound healing through dual mechanisms of promoting angiogenesis and combating oxidative stress.Graphical abstract

An iridium(III) complex-based luminogenic probe for high-throughput screening of hydrogen sulfide donors in living cells

The scarcity of suitable high-throughput screening technology for hydrogen sulfide (H2S) donors has hampered the discovery of H2S donors. In this study, a long-lived cyclometalated iridium complex was rationally designed as a mitochondria-targeted H2S probe to monitor the real-time dynamic change of H2S. By using the time-resolved emission spectroscopy (TRES) technique, an anti-interference high-throughput screening system was developed to monitor H2S in living cells with decreased false negative results. As a proof-of-concept, three natural products were identified as potential H2S donors from a natural product library using the developed TRES probe. Notably, the discovery of allicin and diallyl trisulfide demonstrated the feasibility of this screening platform, while garlic-derived allyl methyl sulfide was explored as a H2S donor candidate. The results were further validated by a commercial assay. We anticipate this high-throughput platform could facilitate the discovery of H2S donors by discriminating the endogenous interfering fluorescence from biological systems.

Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning.

The secondary metabolites of seawater and freshwater blue-green algae are a rich natural product pool containing diverse compounds with various functions, including antiviral compounds; however, high-efficiency methods to screen such compounds are lacking. Advanced virtual screening techniques can significantly reduce the time and cost of novel antiviral drug identification. In this study, we used a cyanobacterial secondary metabolite library as an example and trained three models to identify compounds with potential antiviral activity using a machine learning method based on message-passing neural networks. Using this method, 364 potential antiviral compounds were screened from >2000 cyanobacterial secondary metabolites, with amides predominating (area under the receiver operating characteristic curve value: 0.98). To verify the actual effectiveness of the candidate antiviral compounds, HIV virus reverse transcriptase (HIV-1 RT) was selected as a target to evaluate their antiviral potential. Molecular docking experiments demonstrated that candidate compounds, including kororamide, mollamide E, nostopeptolide A3, anachelin-H, and kasumigamide, produced relatively robust non-covalent bonding interactions with the RNase H active site on HIV-1 RT, supporting the effectiveness of the proposed screening model. Our data demonstrate that artificial intelligence-based screening methods are effective tools for mining potential antiviral compounds, which can facilitate the exploration of various natural product libraries.

A novel fluorescent probe with Aggregation-Induced emission characteristics for PTP1B activity sensing and inhibitor screening

Protein tyrosine phosphatase 1B (PTP1B) is an attractive target for the treatment of metabolic diseases such as type 2 diabetes and obesity. In this study, a novel fluorescent probe with aggregation-induced emission (AIE) characteristics was designed and synthesized. Within the fluorescent probe, a tetraphenylethene core is connected to a peptide sequence that can be specifically recognized and hydrolysed by PTP1B. Due to the dephosphorylation of PTP1B, the fluorescent probe exhibited AIE in a turn-on manner, indicating PTP1B activity. This probe was successfully used to detect PTP1B activity in HepG2 cell lysates. Then, a probe-based method was applied to screen for potential PTP1B inhibitors from a natural product library, and three novel PTP1B inhibitors were discovered. These findings indicated that the proposed approach offered a new avenue for discovering potential PTP1B inhibitors.

Dual-function natural products: Farnesoid X receptor agonist/inflammation inhibitor for metabolic dysfunction-associated steatotic liver disease therapy

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease globally, with only one Food and Drug Administration (FDA)-approved drug for its treatment. Given MASLD's complex pathophysiology, therapies that simultaneously target multiple pathways are highly desirable. One promising approach is dual-modulation of the farnesoid X receptor (FXR), which regulates lipid and bile acid metabolism. However, FXR agonists alone are insufficient due to their limited anti-inflammatory effects. This study aimed to dto identify natural products capable of both FXR activation and inflammation inhibition to provide a comprehensive therapeutic approach for MASLD. Potential FXR ligands from the Natural Product Library were predicted via virtual screening using the Protein Preparation Wizard module in Schrodinger (2018) for molecular docking. Direct binding and regulation of candidate compounds on FXR were analyzed using surface plasmon resonance (SPR) binding assay, reporter gene analysis, and reverse transcription-polymerase chain reaction (RT-PCR). The anti-inflammatory properties of these compounds were evaluated in AML12 cells treated with tumor necrosis factor-alpha (TNF-α). Dual-function compounds with FXR agonism and inflammation inhibition were further identified in cells transfected with Fxr siRNA and treated with TNF-α. The effects of these dual-function compounds on lipid accumulation and inflammation were evaluated in cells treated with palmitic acid. Results revealed that 17 natural products were predicted via computational molecular docking as potential FXR agonists, with 15 exhibiting a strong affinity for FXR recombinant protein. Nine isoflavone compounds significantly enhanced FXR reporter luciferase activity and the mRNA expressions of Shp and Ostb. Structure-activity relationship analysis indicated that introducing isopropyl or methoxy groups at the C7 position or a methoxy group at the C6 position could enhance the agonistic efficacy of isoflavones. Three compounds (2, 6, and 8) were identified as dual-function natural products functioning as FXR agonists and inflammatory inhibitors, while one compound (12) acted as an FXR agonist to inhibit inflammation. These natural products protected hepatocytes against palmitic acid-induced lipid accumulation and inflammation. In conclusion, compounds 2, 6, and 8 (genistein, biochanin A, and 7-methoxyisoflavone, respectively) were identified as dual-function bioactive products that transactivate FXR and inhibit inflammation, serving as potential candidates or lead compounds for MASLD therapy.