Targets Of Compounds Research Articles

Pinonic Acid Derivatives Containing Thiourea Motif: Promising Antifungal Lead Compound Targeting Cellular Barrier of Colletotrichum fructicola.

In order to explore novel antifungal lead compounds from plant essential oil, thirty-two pinonic acid derivatives containing thiourea groups were designed and synthesized using α-pinene as a raw material. One of these pinonic acid derivatives compound 3a exhibited noteworthy in vitro antifungal activity against Colletotrichum fructicola (EC50 = 9.22 mg/L), which was comparable to that of the positive control kresoxim-methyl (EC50 = 9.69 mg/L). Structure-activity relationship (SAR) studies demonstrated that the introduction of thiourea groups, F atoms, and Cl atoms into the structure of pinonic acid derivatives significantly improved their antifungal activity. The in vivo antifungal test revealed that compound 3a could effectively control pear anthracnose. It also proved that compound 3a showed low acute oral toxicity to honeybees (LD50 > 100 μg/bee) and low or no cytotoxicity to LO2 and HEK293 cell lines. The preliminary mechanism of action studies revealed that compound 3a caused mycelium deformity, increased cell membrane permeability, blocked the normal process of phospholipase C on the cell membrane, and reduced mycelium protein content. The results of molecular docking studies demonstrated the stable binding of compound 3a to phospholipase C and chitin synthetase. This study suggested that compound 3a could be used as a promising lead compound for the development of novel antifungal agents targeting the cellular barrier of C. fructicola.

CHiMP: deep-learning tools trained on protein crystallization micrographs to enable automation of experiments

A group of three deep-learning tools, referred to collectively as CHiMP (Crystal Hits in My Plate), were created for analysis of micrographs of protein crystallization experiments at the Diamond Light Source (DLS) synchrotron, UK. The first tool, a classification network, assigns images into categories relating to experimental outcomes. The other two tools are networks that perform both object detection and instance segmentation, resulting in masks of individual crystals in the first case and masks of crystallization droplets in addition to crystals in the second case, allowing the positions and sizes of these entities to be recorded. The creation of these tools used transfer learning, where weights from a pre-trained deep-learning network were used as a starting point and repurposed by further training on a relatively small set of data. Two of the tools are now integrated at the VMXi macromolecular crystallography beamline at DLS, where they have the potential to absolve the need for any user input, both for monitoring crystallization experiments and for triggering in situ data collections. The third is being integrated into the XChem fragment-based drug-discovery screening platform, also at DLS, to allow the automatic targeting of acoustic compound dispensing into crystallization droplets.

Exploration of Pharmacological Mechanism of Cinnamomum tamala Essential Oil in Treating Inflammation based on Network Pharmacology, Molecular Modelling, and Experimental Validation.

Cinnamomum tamala (Buch.-Ham.) T.Nees & Eberm., also known as Indian Bay leaf, holds a distinctive position in complementary and alternative medicinal systems due to its anti-inflammatory properties. However, the active constituents and key molecular targets by which C. tamala essential oil (CTEO) exerts its anti-inflammatory action remain unclear. The present study used network pharmacology and experimental validation to investigate the mechanism of CTEO in the treatment of inflammation. GC-MS analysis was used to identify the constituents of CTEO. The key constituents and core targets of CTEO against inflammation were obtained by network pharmacology. The binding mechanism between the active compounds and inflammatory genes was ascertained by molecular docking and molecular dynamics simulation analysis. The pharmacological mechanism predicted by network pharmacology was verified in lipopolysaccharide-stimulated murine macrophage (RAW 264.7) cell lines. Forty-nine constituents were identified by GC-MS analysis, with 44 constituents being drug-like candidates. A total of 549 compounds and 213 inflammation-related genes were obtained, revealing 68 overlapping genes between them. Compound target network analysis revealed cinnamaldehyde as the core bioactive compound with the highest degree score. PPI network analysis demonstrated Il-1β, TNF-α, IL8, IL6 and TLR4 as key hub anti-inflammatory targets. KEGG enrichment analysis revealed a Toll-like receptor signalling pathway as the principally regulated pathway associated with inflammation. A molecular docking study showed that cinnamaldehyde strongly interacted with the Il-1β, TNF-α and TLR-4 proteins. Molecular dynamics simulations and MMPBSA analysis revealed that these complexes are stable without much deviation and have better free energy values. In cellular experiments, CTEO showed no cytotoxic effects on RAW 264.7 murine macrophages. The cells treated with LPS exhibited significant reductions in NO, PGE2, IL-6, TNF-α, and IL-1β levels following treatment with CTEO. Additionally, CTEO treatment reduced the ROS levels and increased the antioxidant enzymes such as SOD, GSH, GPx and CAT. Immunofluorescence analysis revealed that CTEO inhibited LPS-stimulated NF-κB nuclear translocation. The mRNA expression of TLR4, MyD88 and TRAF6 in the CTEO group decreased significantly compared to the LPS-treated group. The current findings suggest that CTEO attenuates inflammation by regulating TLR4/MyD88/NF- κB signalling pathway.

Unveiling the antimetastatic activity of monoterpene indole alkaloids targeting MMP9 in cancer cells, with a focus on pharmacokinetic and cellular insights

Distant metastasis, together with acquired resistance, limits the therapeutic impact of chemotherapy and molecularly targeted therapies. The properties of the tumor microenvironment determine how sensitive or resistant various cancers are to specific pharmacological treatments. Matrix metalloproteinase 9 (MMP9) is widely known for its ability to break down the extracellular matrix and it also modulates the motility of cancer cells. Here, our goal was to identify compounds that target MMP9 and evaluate their capacity to inhibit the motility of cancer cells. The anti-metastatic effect of monoterpene indole alkaloids (MIAs) on cell viability and motility was evaluated by MTT assay, migration assay, invasion assay, qRT-PCR, pathway-focusedexpression analysis, Western blotting, reporter assay, molecular docking simulation, and target prediction. MIA compounds target MMP9. MIAs inhibited the expression of p-EGFR, p-Akt, p-JNK and cyclin D1. Additionally, MIAs had predicted favorable pharmacokinetic profile and drug-like properties. Furthermore, among the MIA compounds lyaloside and 5(S)-5 carbomethoxy strictosidine had low cytotoxicity and regulated cancer-related signaling, including cell migration, cell invasion, epithelial–mesenchymal transition and immune evasion. Our findings demonstrated that the MIAs used in this study have potential anti-metastasis properties that occur via MMP9-mediated regulation of cancer signaling and have the potential to be used therapeutically at safe doses.

In silico and in vitro evaluation of compounds from Methanol whole extracts of Solanum aculeastrum Dunal berries against benign prostatic hyperplasia and prostate cancer

Background: This study evaluated anti-prostate potentials of compounds from methanol extract of Solanum aculeastrum Dunal berries (MESADB) against benign prostatic hyperplasia (BPH) and prostate cancer (PC). Methods: We used Swiss ADME and pKCSM tools to select drug-like candidates from MESADB. DisGeNET and related databases were used to identify targets for compounds of MESADB, BPH and PC. Molecular roles, biological processes, cellular components involved, and crucial pathways associated with biological processes of gene enrichment were obtained using Gene Ontology (GO) & Kyoto Encyclopedia of Genes and Genomes (KEGG), respectively. Docking was achieved using VINA tool. Antiproliferative and gene expression profiling were determined using 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) bioassay, and RT-qPCR respectively, and data analyzed using Graph Pad Prism (version 8.4). Results: Three ideal drug-like candidates [Undecane; D-Arabinitol; and 9-Oxabicyclo [3.3.1] nonan-2-one,6-hydroxy-] were identified. Key targets included TLR4, PTGS2, STAT3, ESR1, MTOR, SRC, MMP9, HDAC1, AKT1 and EGFR. GO analysis revealed key targets were mainly enriched in 601 biological processes (BP), 53 molecular function (MF) and 24 cellular components (CC) terms (p < 0.05). KEGG analysis presented pathways for cancer, pathway of proteoglycans in cancer, amongst others. Docking revealed [D-Arabinitol; and 9-Oxabicyclo [3.3.1] nonan-2-one,6-hydroxy-] demonstrated high binding affinity with PTGS2 and EGFR. MESADB significantly (p < 0.0001) inhibited growth of DU-145 cells with IC50 value and selectivity index of 5.11μg/ml and 14.84, respectively, while sparing Vero CCL-81 cells. There were significant (p < 0.0001) downregulations of EGFR, PTGS2 and BCL-2, in treated DU-145 cells compared to control. Conclusion: MESADB possesses antiprostate potentials.

Enhancement of Stress Granule Formation by a Chiral Compound Targeting G3BP1 via eIF2α Phosphorylation.

The chirality of a chemical differentiates it from its mirror-image counterpart. This unique property has significant implications in chemistry, biology, and drug discovery, where chiral chemicals display high selectivity and activity in achieving target specificity and reducing attrition rates in drug development. Stress granules (SGs) are dynamic assemblies of proteins and RNA that form in the cytoplasm of cells under stress conditions. Modulating their formation or disassembly could offer a novel approach to treating a wide range of diseases. This has led to significant interest in SGs as potential therapeutic targets. This study examined the NTF2-like domain of G3BP1 as a possible target for SG modulation. Molecular docking was used to simulate the interactions of compounds with the domain, and a potential candidate with a chiral structure was identified. The experiments showed that the compound induced the formation of SG-like granules. Importantly, the ability of this compound to modulate SG offers valuable insights into a new mechanism underlying the dynamics and promoting the assembly of SGs, and this new mechanism, in turn, holds potential for the development of drugs with diverse mechanisms of action and potentially synergistic effects.

Exploring multitarget potential of Piper nigrum fruit constituents for Alzheimer's disease: An AI-driven strategy

BackgroundAlzheimer's disease (AD) is a neurodegenerative disease that leads to development of cognition and memory dysfunctions. Currently, there is no known cure for AD, although limited medications are approved for the management of disease condition. Various plant-based leads give new hope for considering phytoconstituents as anti-AD drugs. The Piper nigrum L. fruit extract was reported to have anti-Alzheimer's activity. It creates an interest in the finding of active moieties that may be accountable for anti-AD activity. Hypothesis/PurposeIdentification of multitarget directed ligands isolated from Piper nigrum fruits through AI based studies. Study designThe phytochemical analysis of alkaloid fraction was carried out by LCMS, followed by the evaluation of constituents through in silico studies. MethodsThe fruits methanolic extract was prepared by cold maceration technique. The chemical profiling of the alkaloidal fraction was carried out using LCMS/MS analysis. The obtained compound's target hit genes were identified through network pharmacology studies using String, Metascape, and Cytoscape tools. Further, docking studies and MD simulations were carried out using AutoDock4 and Desmond-Maestro software. Then, electrochemical properties of hit compound P4 were determined using Gaussview6 software. ResultsFrom LCMS/MS analysis data, 29 compounds were considered based on compound intensity and accuracy (>95 %). Then, 41 common gene targets were identified from AD genes and compound-targeted genes. The 41 common genes in the PPI network suggested that AChE and BACE1 were the most abundant proteins. Further, docking studies revealed the hit compound P4 binding interaction and energies when compared to other 28 ligands. The molecular dynamics studies showed that P4-AChE and P4-BACE1 complexes were stable, and there were no RMSD and RMSF fluctuations were observed up to 100 ns. Further, PCA and MM-GBSA analysis data supported that complexes (P4-AChE and P4-BACE1) were stable. The DFT and surface properties indicated that compound P4 was ideal candidate for AD treatment and must be considered for further biological activity studies. ConclusionThe study identified compound P4 (dehydropipernonaline) from alkaloidal fraction of Piper nigrum fruits, suggesting it may be hit candidate for AD treatment.

Establishment of the Meyer-Overton correlation in an artificial membrane without protein

BackgroundThe potency of anesthetics with various structures increases exponentially with lipophilicity, which is the Meyer-Overton (MO) correlation discovered over 120 years ago. The MO correlation was also observed with various biological effects and chemicals, including alcohols; thus, the correlation represents a fundamental relationship between chemicals and organisms. The MO correlation was explained by the lipid and protein theories, although the principle remains unknown because these are still debating. MethodsThe gentle hydration method was used to form giant unilamellar vesicles (GUVs) consisting of high- and low-melting phospholipids and cholesterol in the presence of n-alcohols (C2-C12). Confocal fluorescence microscopy was used to determine the percentage of GUVs with domains in relation to the n-alcohol concentrations. Resultsn-Alcohols inhibited the domain formation of GUVs, and the half inhibitory concentration (IC50) in the aqueous phase (Cw) decreased exponentially with increasing chain length (lipophilicity). In contrast, the membrane concentrations (Cm) of alcohols for the inhibition, which is a product of the membrane-water partition coefficient and the IC50 values, remained constant irrespective of the chain length. ConclusionsThe MO correlation is established in GUVs, which supports the lipid theory. When alcohols reach the same critical concentration in the membrane, similar biological effects appear irrespective of the chain length, which is the principle underlying the MO correlation. General significanceThe protein theory states that a highly lipophilic compound targets minor membrane proteins due to the low Cw. However, our lipid theory states that the compound targets various membrane proteins due to the high Cm.

Secondary metabolites from the endophytic fungus Letendraea helminthicola A820 with Anti-inflammatory activity.

Two undescribed letendrones A-B (1-2), along with three known compounds, ZL-6 (3), dankasterone B (4) and minimoidione B (5) were isolated from the Aquilaria-derived fungus Letendraea helminthicola A820. The structures of 1 and 2 were established by analysis of spectroscopes including 1D/2D NMR, IR, UV, and HRESIMS. Among them, the configuration of 1 was further confirmed by single-crystal X-ray diffraction. Letendrones A and B were the new phenalenyl derivatives with radical form that were firstly found in nature. In addition, bioactivity of these compounds was evaluated and compounds 3-5 exhibited inhibitory activity against LPS-induced NO production in macrophages with IC50 values of 4.64, 13.90, and 34.07 μM. Furthermore, potential targets of the new compounds were analyzed by molecular docking in silico. As a result, compound 1 showed high binding with predicted 5-HT2c receptor (∆G=-8.2 kcal/mol) potentially associated with depression disease, and compound 2 showed significant connection with phosphodiesterase 3A (∆G=-9.4 kcal/mol) probably against cardiovascular disorders. Our findings firstly reported the high symmetry phenalenyl compounds from natural products which would provide a basis for further development and utilization of the secondary metabolites from the endophytic fungus Letendraea helminthicola A820.

Prediction of protein-ligand binding sites modulating activity of MAST protein kinases

Aim. Identification of the protein-ligand binding sites, that may be the target of compounds, affecting individual human protein kinases of the MAST family (MAST1, 2, 3, 4 and MASTL / GWL). Methods. Literature and database search. Comparison of protein and ligand structures. Protein structure modeling, structural superimposition, etc. Results. The structural alignment demonstrates significant similarity of catalytic domains in MAST1, 2, 3, 4 and MASTL (GWL). It justifies transferring of reference ligands from PDB structures to human MASTs, discovering potential sites of ligand binding. 13 sites of ligand-binding were specified based on refrence ligands, transferred from RCSB Protein Data Bank structures, and differences in sites amino acid composition of MAST family members were discovered. Сonclusions. Based on the differences in the amino acid composition of the studied pockets in MAST1, 2, 3, 4 and MASTL (GWL), the sites B, C, D, E, F, were selected for further study and virtual screening for new selective inhibitors of individual members of MAST protein kinase family.

New drugs on the horizon for acute kidney injury.

Acute kidney injury (AKI) is a frequent and serious complication in critically ill patients. Currently, no effective therapy to prevent or treat AKI is available. This review highlights recently published developments on pharmacological treatments that aim to prevent AKI or to alleviate the severity of AKI in critical ill patients. Studies on pharmacological interventions aimed to improve hemodynamics, renal perfusion, to mediate inflammation-associated renal damage and to reduce oxidative stress are presented, including several observational studies and randomized trials focused on the potential renal protective effects in relevant patient populations. Different existing and novel compounds are being investigated for the effects on renal endpoints and several show potential to prevent or alleviate the occurrence of AKI. It is now acknowledged that different underlying pathophysiological processes are relevant in the development of AKI. Recognition of these sub-endotypes of AKI and knowledge of the therapeutic target of different compounds is of paramount importance to select the right patient for the right treatment at the right time. The discovery of reno-protective therapies is hampered by the timely detection and recognition of the overriding mechanism of AKI. Nevertheless, several compounds are under investigation, which hold promise for a future treatment.

AILDE Computer-Aided Discovery of Novel Ibuprofen-Coumarin Antitumor Lead Compounds Targeting Cyclooxygenase-2.

Starting from three ibuprofen-coumarin hit compounds, we designed 18 derivative compounds targeting cyclooxygenase-2 (COX-2) by introducing different substituents onto them by using the computational auto in silico ligand directing evolution (AILDE) method. After synthesizing and testing the activity, we found that 6 representative compounds have micromolar enzyme inhibitory activity against COX-2. Additionally, 16 compounds have shown certain inhibitory activity in cervical cancer cells. Among these compounds, 6c (IC50 = 0.606 μM, HeLa) and 7g (IC50 = 0.783 μM, HeLa) have exhibited excellent activity, which is approximately 10 times better than the commercial drug gefitinib. According to molecular simulation results, the halogen atoms of 6c and 7g on the coumarin ring can form halogen bonds with COX-2, which significantly improves their activity compared to their hit compounds 6a and 7a. However, the key interactions were lost in binding with COX-1. The calculation results revealed that the two compounds are selective COX-2 inhibitors, with potential selectivity indexes of 6-fold and 5-fold, respectively. The cell-based activity of compounds 6c and 7g toward HEK293 cells demonstrates that our compounds possess an acceptable safety toward normal cells. The results indicate that 6c and 7g can serve as potential lead compounds for further lucubrate.

Improved oxidation behavior of Hf0.11Al0.20B0.69 in comparison to Hf0.28B0.72 magnetron sputtered thin films

The oxidation resistance of Hf0.28B0.72 and Hf0.11Al0.20B0.69 thin films was investigated comparatively at 700 °C for up to 8 h. Single-phase solid solution thin films were co-sputtered from HfB2 and AlB2 compound targets. After oxidation at 700 °C for 8 h an oxide scale thickness of 31 ±\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\pm$$\\end{document} 2 nm was formed on Hf0.11Al0.20B0.69 which corresponds to 14% of the scale thickness measured on Hf0.28B0.72. The improved oxidation resistance can be rationalized based on the chemical composition and the morphology of the formed oxide scales. On Hf0.28B0.72 the formation of a porous, O, Hf, and B-containing scale and the formation of crystalline HfO2 is observed. Whereas on Hf0.11Al0.20B0.69 a dense, primarily amorphous scale containing O, Al, B as well as approximately 3 at% of Hf forms, which reduces the oxidation kinetics significantly by passivation. Benchmarking Hf0.11Al0.20B0.69 with Ti–Al-based boride and nitride thin films with similar Al concentrations reveals superior oxidation behavior of the Hf-Al-based thin film. The incorporation of few at% of Hf in the oxide scale decelerates oxidation kinetics at 700 °C and leads to a reduction in oxide scale thickness of 21% and 47% compared to Ti0.12Al0.21B0.67 and Ti0.27Al0.21N0.52, respectively. Contrary to Ti–Al-based diborides, Hf0.11Al0.20B0.69 shows excellent oxidation behavior despite B-richness.

Foam Cells: The Origin of Formation and Target for Plant-derived Bioactive Compounds.

Foam cells play a crucial role in the initiation and progression of atherosclerosis, a condition marked by the development and growth of plaques that narrow blood vessel lumens. This narrowing can prevent normal blood flow and, in severe cases, lead to plaque rupture and blood clot formation, which can cause stroke or myocardial infarction. The origin of foam cells is diverse, arising from monocytes, vascular smooth muscle cells, stem/progenitor cells, and dendritic and endothelial cells. In their attempt to eliminate excess lipoproteins and cholesterol, foam cells inadvertently contribute to plaque development and rupture. Cholesterol uptake, efflux, and esterification are the major processes regulating foam cell formation. Advances in technology, such as the identification of cell-surface markers for lineage tracing and single-cell RNA sequencing, have unveiled diverse molecular mechanisms involved in the formation of foam cells from different origins, offering new insights into plaque formation and potential targets for anti-foam cell therapies. In this review, we focus on recent studies exploringthe inhibitory effects of medicinal plants and their bioactive components on foam cell formation. Various mechanisms are explored, including the inhibition of cholesterol uptake and the up-regulation of cholesterol efflux, as well as the suppression of inflammatory and adhesion activities. Emphasizing a cellular target-based therapeutic approach, this review envisions the development of innovative plant-based medications for atherosclerosis treatment.

Theoretical investigation of norfloxacin hybrid compounds with silver, copper, and gold metals as potential anticancer agents

The strategy of drug repurposing and repositioning in developing hybrid molecules is significant in drug discovery. Norfloxacin (Nor) hybrids, part of the fluoroquinolone class of antibiotics, have demonstrated anticancer properties. Various norfloxacin metal complexes have been synthesized and evaluated for their anticancer potential through docking simulations using AutoDock Vina. To preliminarily identify potential molecular targets for these anticancer compounds, docking studies were conducted with a variety of enzymes and receptor proteins associated with the cell cycle, cell growth, and DNA replication. These targets included cyclin dependent protein kinase-2 (CDK-2), CDK-6, DNA topoisomerases I and II, B cell lymphoma-2 (Bcl-2), and vascular endothelial growth factor receptor-2 (VEGFR-2). Density functional theory (DFT) and time-dependent density functional theory (TD-DFT) calculations were conducted utilizing the B3LYP functional with the 6-311G++ and LanL2DZ basis sets. This study investigated the optimized geometries, molecular electrostatic potential (MEP) maps, key molecular properties, and HOMO-LUMO energy gaps of Nor, Nor zwitterionic structure, and its synthesized compounds ([Ag2(Nor)2](NO3)2, [Cu(Nor)2(H2O)2]SO4.5H2O, and [Au(Nor)2(H2O)2]Cl3). KEY WORDS: Norfloxacin, Anticancer agents, DFT/ TD-DFT, Molecular docking Bull. Chem. Soc. Ethiop. 2024, 38(6), 1775-1790. DOI: https://dx.doi.org/10.4314/bcse.v38i6.21

Learning chemical sensitivity reveals mechanisms of cellular response

Chemical probes interrogate disease mechanisms at the molecular level by linking genetic changes to observable traits. However, comprehensive chemical screens in diverse biological models are impractical. To address this challenge, we develop ChemProbe, a model that predicts cellular sensitivity to hundreds of molecular probes and drugs by learning to combine transcriptomes and chemical structures. Using ChemProbe, we infer the chemical sensitivity of cancer cell lines and tumor samples and analyze how the model makes predictions. We retrospectively evaluate drug response predictions for precision breast cancer treatment and prospectively validate chemical sensitivity predictions in new cellular models, including a genetically modified cell line. Our model interpretation analysis identifies transcriptome features reflecting compound targets and protein network modules, identifying genes that drive ferroptosis. ChemProbe is an interpretable in silico screening tool that allows researchers to measure cellular response to diverse compounds, facilitating research into molecular mechanisms of chemical sensitivity.

Molecular Insights into Spirulina platensis Compounds Targeting TNFa and P21 in Delaying Cellular Senescence Mechanisms: An In Silico Approach

Molecular Insights into Spirulina platensis Compounds Targeting TNFa and P21 in Delaying Cellular Senescence Mechanisms: An In Silico Approach

Novel Autotaxin Inhibitor ATX-1d Significantly Enhances Potency of Paclitaxel-An In Silico and In Vitro Study.

The development of drug resistance in cancer cells poses a significant challenge for treatment, with nearly 90% of cancer-related deaths attributed to it. Over 50% of ovarian cancer patients and 30-40% of breast cancer patients exhibit resistance to therapies such as Taxol. Previous literature has shown that cytotoxic cancer therapies and ionizing radiation damage tumors, prompting cancer cells to exploit the autotaxin (ATX)-lysophosphatidic acid (LPA)-lysophosphatidic acid receptor (LPAR) signaling axis to enhance survival pathways, thus reducing treatment efficacy. Therefore, targeting this signaling axis has become a crucial strategy to overcome some forms of cancer resistance. Addressing this challenge, we identified and assessed ATX-1d, a novel compound targeting ATX, through computational methods and in vitro assays. ATX-1d exhibited an IC50 of 1.8 ± 0.3 μM for ATX inhibition and demonstrated a significant binding affinity for ATX, as confirmed by MM-GBSA, QM/MM-GBSA, and SAPT in silico methods. ATX-1d significantly amplified the potency of paclitaxel, increasing its effectiveness tenfold in 4T1 murine breast carcinoma cells and fourfold in A375 human melanoma cells without inducing cytotoxic effects as a single agent.

Anti-liver tumor ingredient exploration and validation of Elephantopus tomentosus Linn. by combining in silico and in vitro experiments

Elephantopus tomentosus (ET) Linn. was reported to be an anti-tumor plant. However, the chemical composition of ET and its anti-tumor compounds and potential mechanisms still unclear. In this paper, UPLC-Q-TOF–MS/MS was firstly used to identified the ingredients in ET and UPLC was used to determine the main compounds of ET. Network pharmacology was applied to predict the potential mechanisms of anti-liver cancer. Anti-tumor nuclear activate compounds and targets of ET were obtained and the anti-liver cancer effect was validated on HepG2. Finally, Molecule docking, RT-qPCR, and western blotting were used for verification of the relationship between nuclear activate compounds and nuclear targets and the potential anti-cancer mechanisms. The result showed that 42 compounds were identified in ET, which consisted of sesquiterpene lactones, flavonoids, and phenylpropanoid compounds. Scabertopin (ST), chlorogenic acid, Isochlorogenic acid B, Isochlorogenic acid A and Isochlorogenic acid C were identified as main compounds and were determined as 0.426%, 0.457%, 0.159%, 0.701%, and 0.103% respectively. 24 compounds showed high pharmacokinetics and good drug-likeness. 520 overlapping targets of the ET compounds and liver cancer were collected. The targets were used for KEGG and GO analysis. GO enrichment analysis suggested that the targets of 24 active compound closed related to promote apoptosis, inhibit proliferation, and regulate oxidative levels. KEGG enrichment analysis suggested that pathway in cancer was enriched most and p38 MAPK/p53 signaling pathway, which closely related to promoting apoptosis and inhibiting proliferation. Compounds-targets analysis based on the parameter of Betweenness, Closeness, Information, Eigenvector, Degree, and component content indicated that ST was the nucleus anti-tumor active compound of ET. HepG2 was first used to validated the anti-tumor effect of ST and the result showed that ST significantly inhibited HepG2 proliferation with a low IC50 less than 5 μM. Nucleus active compound targets, including TP53, CASP3, BCL2, EGFR, TNF-a, IL-1β, and IL-6 were enriched based on degree value of PPI analysis. Molecule docking suggested that ST showed a good combination to TGFBR1 with the combination energy less than − 5 kcal/mol. RT-qPCR result also suggested that ST significantly medicated the mRNA expression level of TP53, CASP3, BCL2, EGFR, TNF-a, IL-1β, and IL-6. Protein expression of p-p38/p38 and p-p53/p53 notable increased by ST treatment. In conclude, combining with UPLC-Q-TOF–MS/MS qualitative analysis, UPLC quantitative analysis, network pharmacology analysis, molecule docking, and in vitro experiments on HepG2, we suggest that ST is an anti-tumor ingredient of ET, which may target to TGFBR1 and promote apoptosis and inhibited proliferation of HepG2 by activating p38 MAPK/p53 signaling pathway. ST can be regarded as a quality marker of ET.

Analysis of action of 1,4-naphthoquinone scaffold-derived compounds against acute myeloid leukemia based on network pharmacology, molecular docking and molecular dynamics simulation

1,4-Naphthoquinone scaffold-derived compounds has shown considerable pharmacological properties against cancer, including acute myeloid leukemia (AML) However, its impact and mechanisms in AML are uncertain. In this study, the mechanisms of 1,4-naphthoquinone scaffold-derived compounds against AML were investigated via network pharmacology, molecular docking and molecular dynamics simulation. ASINEX database was used to collect the 1,4-naphthoquinone scaffold-derived compounds, and compounds were extracted from the software to evaluate their drug similarity and toxicity. The potential targets of compounds were retrieved from the SwissTargetPrediction Database and the Similarity Ensemble Approach Database, while the potential targets of AML were obtained from the GeneCards databases and Gene Expression Omnibus. The STRING database was used to construct a protein–protein interaction (PPI) network, topologically and Cyto Hubb plugin of Cytoscape screen the central targets. After selecting the potential key targets, the gene ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed for the intersection targets, and a network map of “compounds-potential targets-pathway-disease” were constructed. Molecular docking of the compounds with the core target was performed, and core target with the strongest binding force and 1,4-naphthoquinone scaffold-derived compounds was selected for further molecular dynamics simulation and further molecular mechanics/Poisson–Boltzmann surface area (MM/PBSA) approach verification. In addition, the Bloodspot database was applied to perform the overall survival of core targets. A total of 19 1,4-naphthoquinone scaffold-derived compounds were chosen out, and then 836 targets of compounds, 96 intersection targets of AML were screened. Core targets include STAT3, TLR4, HSP90AA1, JUN, MMP9, PTPRC, JAK2, PTGS2, KIT and CSF1R. GO functional enrichment analysis revealed that 90 biological processes, 10 cell components and 12 molecular functions were enriched while KEGG pathway enrichment analysis revealed 34 enriched signaling pathways. Analysis of KEGG enrichment hinted that these 10 core genes were located in the pathways in cancer, suggesting that 1,4-naphthoquinone scaffold-derived compounds had potential activity against AML. Molecular docking analysis revealed that the binding energies between 1,4-naphthoquinone scaffold-derived compounds and the core proteins were all higher than − 6 kcal/mol, indicating that the 10 core targets all had strong binding ability with compounds. Moreover, a good binding capacity was inferred from molecular dynamics simulations between compound 7 and MMP9. The total binding free energy calculated using the MM/GBSA approach revealed values of − 6356.865 kcal/mol for the MMP9-7 complex. In addition, Bloodspot database results exhibited that HSP90AA1, MMP9 and PTPRC were associated with overall survival. The findings provide foundations for future studies into the interaction underlying the anti-AML potential of compounds with 1,4-naphthoquinone-based scaffold structures. Compounds with 1,4-naphthoquinone-based scaffold structures exhibits considerable potential in mitigating and treating AML through multiple targets and pathways.