Molecular Diversity最新文献

{"title":"Identification of effective synthetic molecules against viral-induced cytokine release syndrome using in silico and in vitro approaches.","authors":"Hira Noor Malik, Almas Jabeen, Sajda Ashraf, Saba Farooq, Hana'a Iqbal, Zaheer Ul-Haq","doi":"10.1007/s11030-025-11136-3","DOIUrl":"https://doi.org/10.1007/s11030-025-11136-3","url":null,"abstract":"<p><p>Acute respiratory distress syndrome (ARDS) is the leading cause of mortality in pathogen-mediated lung inflammation. Viral-induced cytokine release syndrome (CRS) has emerged as a global pandemic, characterized by a hyperactive immune response and excessive cytokine production causing irreversible lung injury. This study aimed to evaluate FDA-approved drugs for their potential to target hyperactive immune response and SARS-CoV-2 viral replication simultaneously. Six potential 3-CL^pro inhibitors were identified by molecular docking using MOE software, including ebastine (1), orlistat (2), atracurium besylate (3), piperaquine phosphate (4), valsartan (5), and acarbose (6), among which 1-3 binds strongly to the target protein with binding affinity of - 8.22, - 9.12, and - 7.81, kcal/mol, respectively. Additionally, all identified inhibitors except 4 revealed significant anti-viral potential, with a 50-100% reduction in SARS-CoV-2 plaques. Significant attenuation of phagocyte oxidative burst and inflammatory cytokines (IFN-γ, GM-CSF, IL-6, IL-2, IL-1β, TNF-α) demonstrated the immunomodulatory potential of these drugs. This study demonstrates the potential of pre-existing drugs to ameliorate the cytokine storm and oxidative damage with simultaneous anti-viral effects. The data provide pre-clinical support to develop these drugs as potential therapeutic agent against ARDS.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pterostilbene as a potent ESR-1 in breast cancer therapy: insights from network pharmacology, molecular docking, dynamics simulations, ADMET, and in vitro analysis.","authors":"Harneet Marwah, Hitesh Kumar Dewangan","doi":"10.1007/s11030-025-11144-3","DOIUrl":"https://doi.org/10.1007/s11030-025-11144-3","url":null,"abstract":"<p><p>This study investigated the molecular targets and pathways modulated by pterostilbene in breast cancer using network pharmacology and in vitro analysis. The structure of chemicals of pterostilbene was retrieved from PubChem, and gene targets were predicted through Swiss Target Prediction. Human-specific targets were validated using UniProtKB and breast cancer-related targets were identified using GeneCards and BioVenn. Protein-protein interaction (PPI) networks were created using STRING and visualized using Cytoscape, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses to elucidate biological functions. Molecular docking studies using AutoDock Vina were used to assess the binding interactions of pterostilbene with key nuclear receptors (PTGS2, ESR1, EGFR, and BCL2). Molecular dynamics (MD) simulations over 200 ns in GROMACS confirmed the stability of the ESR1-pterostilbene complex and highlighted significant hydrogen bonding. ADME/T was assessed using the Protox software. In vitro cytotoxicity was assessed using the MTT assay in MCF-7 cells. Sixteen key genes, including PTGS2, ESR1, EGFR, and BCL2, were identified as key targets connecting pterostilbene to breast cancer. PPI analysis identified ESR1, EGFR, and BCL2 as central nodes in the network. Molecular docking revealed robust binding of pterostilbene (below - 8.1 kcal/mol), suggesting potential modulation of estrogen receptor signaling. MD simulations confirmed the stability of the complex with favorable structural dynamics. Toxicity analysis suggested a low risk, and MTT assays revealed selective cytotoxicity of pterostilbene toward MCF-7 breast cancer cells (IC₅₀ = 14.8 µM) with a Selectivity Index of 2.85 compared to normal HEL 299 cells. These findings highlight the potential of pterostilbene as a treatment option for breast cancer, which merits additional exploration in experimental models and human studies.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design, synthesis and biological evaluation of novel dualaction statin conjugates with triglyceride and cholesterol lowering activities.","authors":"Zheng Qu, Ye-Cheng Liu, Qi Suo, Xu Wang, Jin-Wen Huang, Zhuo Wu, Fan-Hong Wu","doi":"10.1007/s11030-025-11134-5","DOIUrl":"https://doi.org/10.1007/s11030-025-11134-5","url":null,"abstract":"<p><p>A series of novel dual-action statin conjugates, which exhibit both triglyceride and cholesterol lowering activities, have been systematically designed, synthesized, and subjected to comprehensive pharmacological evaluation. All the target compounds were characterized by ¹HNMR, ¹³CNMR, and HRMS. Biological evaluation demonstrated that the majority of the synthesized compounds exhibited significant lipid-lowering and cholesterol-reducing activities. In particular, ligand 8a demonstrated significant potency, resulting in a marked reduction in cholesterol and triglyceride levels in a dose-dependent manner. Its minimum response has lowered 2.778 mmol/L (cholesterol level) and 0.699 mmol/L (triglycerides level), surpassing the positive control. For the preliminary assessment of the safety of the target compound, the ADMETlab 2.0 predictive software was utilized. Data show that compared to the combination of drugs used clinically, the safety of the target compounds may be improved. These findings suggest that compound 8a holds promise as a potential candidate for the treatment of hyperlipidemia.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular dynamics simulation-driven focused virtual screening and experimental validation of Fisetin as an inhibitor of Helicobacter pylori HtrA protease.","authors":"Li Gao, Xianqiong Jiang, Hongtao Duan, Yan Shen, Kui Gu, Kuilong Huang, Yuanqiang Wang, Mao Shu, Rui Zhang, Zhihua Lin","doi":"10.1007/s11030-025-11137-2","DOIUrl":"https://doi.org/10.1007/s11030-025-11137-2","url":null,"abstract":"<p><p>Helicobacter pylori (H. pylori, Hp) is a primary contributor to various stomach diseases, including gastritis and gastric cancer. This bacterium can colonize gastric epithelial cells, compromising their integrity and leading to the development of these conditions. While antibiotics are the mainstay of treatment for H. pylori infections, their widespread use has led to serious issues with drug resistance. High-temperature requirement A (HtrA) protein is an active serine protease secreted by H. pylori, which can destroy gastric epithelium, thus helping H. pylori to colonize gastric mucosa efficiently. In this study, we identified three compounds-Quercetin, Fisetin, and Geniposide-as potential natural compounds that might specifically interact with the HtrA protein, based on molecular docking and molecular dynamics simulations (MDs). The casein hydrolysis experiment indicated that Fisetin could inhibit the activity of HtrA in hydrolyzing casein at the concentration of 50 μM m. Additionally, our in vitro antibacterial experiments further showed that Fisetin could effectively inhibit the growth of H. pylori in a concentration-dependent manner, with an inhibition rate of 80% achieved at a concentration of 10 μM. In summary, these results suggest that Fisetin has an inhibitory effect on the growth of H. pylori, and this study may be the first to reveal its obviously inhibitory effect on HtrA protein. Our findings imply that Fisetin could be a potential candidate for further research as a therapeutic agent targeting protein HtrA, providing a new direction for the exploration of lead compounds and potential drugs against H. pylori infections.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and synthesis of novel pyrimidine-pyrazole hybrids with dual anticancer and anti-inflammatory effects targeting BRAFV600E and JNK.","authors":"Mohammed S Abdel-Maksoud, Hebatollah E Eitah, Rasha M Hassan, Walaa Hamada Abd-Allah","doi":"10.1007/s11030-025-11121-w","DOIUrl":"https://doi.org/10.1007/s11030-025-11121-w","url":null,"abstract":"<p><p>Two new series of pyrimidinyl ethyl pyrazoles derivatives 13a-f and 14a-f were designed and synthesized to possess both anticancer effect by inhibiting BRAFV600E and anti-inflammatory effect by inhibiting JNK isoforms. The structure of the new compounds was generated from hybridization of two main moieties. The pyrimidinyl moiety from reported BRAFV600E inhibitors, and the pyrazole moiety from JNK isoforms inhibitors. The new final compounds were tested on BRAFV600E, JNK1, JNK2, and JNK3 to measure their kinases inhibitory effect. Compound 14c showed the highest activity on JNK isoforms and BRAFV600E with IC₅₀ = 0.51 μM, 0.53 μM, 1.02 μM, 0.009 μM on JNK1, JNK2, JNK3,and BRAFV600E, respectively. All final compounds were tested over four cancer cell lines related to the target enzymes. Compound 14d showed the most potent activity on all tested cell lines with IC₅₀ = 0.87 μM, 0.91, 0.42 μM and 0.63 μM on MOLT-4, K-562, SK-MEL-28, and A375 cell lines, respectively. The ability of 14d and 14c to inhibit MEK1/2 and ERK1/2 phosphorylation was performed by using western blot. The cell cycle analysis of compound 14d on A375 cell line revealed that compound 14d arrested cell growth at G0-G1 phase. Compound 14d remarkably decreased cell migration compared to control group in traditional migration test. Compounds 13a-f and 14a-f showed significant ability to inhibit nitric oxide release and PGE2 production on raw 264.7 macrophages. Compounds 13d and 14d exhibited high inhibitory effect on iNOS and COX-2 compared to COX-1. Finally, the effect of most potent compounds on TNF-alpha and IL-6 was determined.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the conformational dynamics of PI3Kα due to helical domain mutations: insights from Markov state model analysis.","authors":"Vinod Jani, Uddhavesh Sonavane, Sangeeta Sawant","doi":"10.1007/s11030-025-11138-1","DOIUrl":"https://doi.org/10.1007/s11030-025-11138-1","url":null,"abstract":"<p><p>Phosphoinositide 3-kinases (PI3Ks) phosphorylate phosphoinositides on the membrane, which act as secondary signals for various cellular processes. PI3Kα, a heterodimer of the p110α catalytic subunit and the p85α regulatory subunit, is activated by growth factor receptors or mutations. Among these mutations, E545K present in the helical domain is strongly associated with cancer, and is known to disrupt interactions between the regulatory and catalytic subunits, leading to its constitutive activation. However, while the mutation's role in disrupting autoinhibition is well documented, the molecular mechanisms linking this mutation in the helical domain to the structural changes in the kinase domain remain poorly understood. This study aims to understand the conformational events triggered by the E545K mutation, elucidate how these changes propagate from the helical domain to the kinase domain, and identify crucial residues involved in the activation process. Molecular dynamics (MD) simulations combined with Markov state modeling (MSM) were employed to explore the conformational landscapes of both the wild-type and mutant systems. Structural and energetic analyses, including Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations, revealed that the E545K mutation significantly reduces the binding affinity between the regulatory and catalytic subunits. The mutation was found to induce a sliding motion of the regulatory subunit along the catalytic subunit, leading to the disruption of key salt-bridges between these domains. This disruption releases the inhibitory effect of the regulatory subunit, resulting in increased domain motion, particularly in the adaptor-binding domain (ABD). Enhanced flexibility in the ABD, helical, and C2 domains facilitates the rearrangement of the two lobes of kinase domain, thereby promoting activation. Additionally, the mutation appears to enhance PI3Kα's membrane affinity via the Ras-binding domain (RBD). Network analysis helped to identify key residues that may involve in allosteric signaling pathways, providing insights into the communication between domains. Druggable pockets in the metastable states were predicted followed by its docking with a PI3K inhibitor library. Docking studies revealed the crucial residues that may be participating in inhibitor binding. The identification of residues and regions involved in activation mechanisms using MSM helped to reveal the conformational events and the knowledge on probable allosteric pockets, which may be helpful in designing better therapeutics.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis.","authors":"Aga Basit Iqbal, Tariq Ahmad Masoodi, Ajaz A Bhat, Muzafar A Macha, Assif Assad, Syed Zubair Ahmad Shah","doi":"10.1007/s11030-025-11133-6","DOIUrl":"https://doi.org/10.1007/s11030-025-11133-6","url":null,"abstract":"&lt;p&gt;&lt;p&gt;The viability of cells and the integrity of the genome depend on the detection and repair of damaged DNA through intricate mechanisms. Cancer treatment employs chemotherapy or radiation therapy to eliminate neoplastic cells by causing substantial damage to their DNA. In many cases, improved DNA repair mechanisms lead to resistance to these medicines; therefore, it is essential to expand efforts to develop drugs that can sensitise cells to these treatments by inhibiting the DNA repair process. Multiple studies have demonstrated a correlation between the overexpression of Apurinic/Apyrimidinic Endonuclease (APE1), the primary mammalian enzyme responsible for excising apurinic or apyrimidinic sites in DNA, and the resistance of cells to cancer therapies; in contrast, APE1 downregulation increases cellular susceptibility to DNA-damaging agents. Thus, the effectiveness of existing therapies can be improved by promoting the targeted sensitization of cancer cells while protecting healthy cells. The current study aims to employ explainable artificial intelligence (XAI) to enhance the accuracy and reliability of machine learning models for the prediction of APE1 inhibitors. Various ML-based regression models are employed to predict the pIC50 value of different medicines. Bayesian optimization and the Permutation Feature Importance (PFI) approach are employed to determine the best hyperparameters of machine learning models and to discover the most significant features for recognizing drug candidates that target APE1 enzymes, respectively. To acquire comprehensive elucidations for the predictive models in our research, two XAI methodologies, namely SHAP and LIME, are used. The SHAP analysis reveals that the features 'C1SP2' and 'ASP-2' are essential in influencing the model's predictions. The SHAP values demonstrate variability for features such as 'maxHBint2' and 'GATS1s,' signifying that their impact is dependent on specific instances within the dataset. The LIME study corroborates these findings, demonstrating that 'C1SP2' and 'ASP-2' are the most significant positive contributors, whereas features like 'SHCHnX,' 'nHdCH2,' and 'GATS1s' result in a decrease in the predicted values. Due to the limited sample size of the APE1 dataset, direct training on this dataset posed challenges in model generalization and reliability. To overcome this limitation, the BACE-1 dataset is leveraged for model training, enabling the ML models to learn from a more extensive and diverse chemical space. Among the tested algorithms, XGBoost demonstrated superior predictive performance, achieving R&lt;sup&gt;2&lt;/sup&gt; = 0.890, MAE = 0.186, and RMSE = 0.245, significantly surpassing state-of-the-art methods, such as LightGBM and QSAR-ML, which attained R&lt;sup&gt;2&lt;/sup&gt; scores of 0.798 and 0.630, respectively. These results highlight the robustness of our approach, demonstrating its enhanced generalization capability and superior predictive accuracy compared to existing methodologies.&lt;/","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovery of highly effective antiviral agents based on flavonoid-benzothiazole against TMV.","authors":"Jiao Tian, Chunmei Hu, Tianyu Deng, Qing Zhou, Xingping Luo, Jieyu Li, Haotao Pu, Ying Yang, Da Liu, Wei Xue","doi":"10.1007/s11030-025-11126-5","DOIUrl":"https://doi.org/10.1007/s11030-025-11126-5","url":null,"abstract":"<p><p>A series of flavonol derivatives containing benzothiazole were designed and synthesized. The structures of all the compounds were characterized by NMR and HRMS. The results of the activity assay showed that some of the target compounds possessed outstanding in vivo antiviral activity against the tobacco mosaic virus (TMV). Among them, the median effective concentration (EC₅₀) of L20 was 90.5 and 202.2 μg/mL for curative and protective activity against TMV, respectively, which was better than that of ningnanmycin (NNM: 252.0 and 204.2 μg/mL). The results of microcalorimetric thermophoresis (MST) and molecular docking experiments indicate that L20 binds TMV-CP more strongly than NNM; density functional theory (DFT) calculation the indicating that L20 is more chemical reactivity than NNM. In addition, malondialdehyde (MDA) and superoxide dismutase assay (SOD) activity measurements also fully confirmed that L20 stimulated the plant immune system and strengthened the plant's resistance to diseases by lowering the MDA content and increasing the SOD activity. Furthermore, the chlorophyll content test experiment found that L20 could reduce the destructive effect of viruses on chloroplasts, increase the content of chlorophyll, and promote photosynthesis. In conclusion, above experimental results suggested that flavonol derivatives containing benzothiazole could be further investigated as new plant virus antiviral drugs.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational exploration in search for novel natural product-derived EZH2 inhibitors for advancing anti-cancer therapy.","authors":"Sagar Singh Shyamal","doi":"10.1007/s11030-025-11128-3","DOIUrl":"https://doi.org/10.1007/s11030-025-11128-3","url":null,"abstract":"<p><p>Epigenetic regulation intricately governs cellular mechanisms, including proliferation, death, differentiation, and cell cycle orchestration. One such target, Enhancer of zeste homolog 2 (EZH2), is essential for epigenetic regulation. EZH2 trimethylates histone H3 lys27 (H3K27me3), inhibiting target gene transcription and promoting chromatin condensation, thereby initiating tumorigenesis, thus a potentially plausible target to disrupt cancer progression. In this virtual screening study, we utilized two large, open-source natural product libraries, NPASS and LOTUS, to search for potential natural product scaffolds capable of EZH2 inhibition. The merged library was filtered through increasingly rigorous criteria at each stage, including Medchem-based rule filters, 2D Tanimoto similarity, sequential rounds of docking, rescoring via ML-based functions, and binding pose visualization, funneling down to the most promising candidates for further pharmacokinetics and toxicological profiles. The best hits were analyzed for their binding stability through molecular dynamics simulation and their binding free energy estimations. Exploratory chemical analysis was conducted to understand the similarity of hits with known EZH2 chemical space. This comprehensive workflow identified one potential inhibitor, LTS0131784, which exhibited favorable pharmacokinetic toxicity profiling with binding stability and free energy better than the FDA-approved EZH2 inhibitor, Tazemetostat. Furthermore, the plausible binding mechanism was also elucidated by analyzing the per residue-free decomposition of the simulated trajectories, which indicated the involvement of the LTS0131784 with the key residues TYR:111, TRP:521, CYS:560, ASN:585, and SER:561.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovery of the novel celastrol-based PROTACs for the treatment of non-small cell lung cancer.","authors":"Chunhui Ma, Fang Wang, Yiqing Wang, Fan Wu, Xuguang Zhang, Chuanhua Ding, Jifeng Zhao, Ying Ma, Wanzhong Li, Wenshan Liu","doi":"10.1007/s11030-025-11140-7","DOIUrl":"https://doi.org/10.1007/s11030-025-11140-7","url":null,"abstract":"<p><p>Lung cancer is the world's top ranked cancer, with non-small cell lung cancer accounting for over 80% of lung cancer, so it is an urgent need to find new treatment strategies for non-small cell lung cancer. Celastrol is one of the effective active ingredients in the plant Tripterygium wilfordii Hook. f., and research has found that celastrol has an inhibitory effect on non-small cell lung cancer. However, the significant toxic side effect of celastrol limits its clinical application. In this study, 9 novel celastrol derivatives were developed using PROTAC technology. Cell viability testing displayed that some compounds exhibited higher antiproliferative activity in cancer cells, and had lower toxicity to normal cells. Among them, compound MX-108 (11c) showed a high inhibitory activity with an IC₅₀ value of 0.66 ± 0.07 μM against human non-small cell lung cancer NCI-H358 cells. The DIA-based quantitative proteomics and western blot analyses had confirmed that compound MX-108 could effectively degrade RAB9A protein in NCI-H358 cells. Compound MX-108 could downregulate the phosphorylation level of Akt and upregulate the expression of cleaved caspase 3. Molecular docking predicted that celastrol had a high binding ability with RAB9A protein. Furthermore, compound MX-108 could effectively inhibit tumor growth in xenografts model of NCI-H358 cells. This study provides new ideas for the development of novel celastrol derivatives to treat cancer.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}