Molecular Docking Research Articles

Citrinin disrupts microtubule assembly in cardiac cells: Impact on mitochondrial organization and function

Citrinin (CTN) is a mycotoxin commonly present in various foods and feeds worldwide, as well as dietary supplements in Asian countries, but the risks and cellular mechanisms associated with its cardiotoxicity remains unclear. In this study, RNA-seq analysis of CTN-treated H9c2 cardiac cells demonstrated significant perturbations in pathways related to microtubule cytoskeleton and mitochondrial network organization. CTN disrupted microtubule polymerization and downregulated mRNA levels of microtubule-assembling genes, Map2 and Tpx2, in H9c2 cardiac cells. Additionally, CTN interfered with the distribution of mitochondrial network along the microtubules, leading to the accumulation of dysfunctional mitochondria characterized by elevated superoxide levels and reduced membrane potential. This disruption also caused the buildup of lysosomes and ubiquitinated proteins, which hindered waste clearance in microtubule-disassembled H9c2 cells. Molecular docking analysis indicated that CTN could bind to the colchicine binding site on β-tubulin, thereby mimicking the microtubule-disrupting effect of colchicine. This study provides morphological, transcriptomic, and mechanistic evidence to elucidate the cardiotoxic mechanisms of CTN, which involve the dysregulated microtubule network, subsequent mitochondrial mislocalization, and impaired proteolysis of damaged proteins/organelles in cardiac cells. Our findings may enhance the fundamental understanding and facilitate future risk assessment of CTN.

High-quality haplotype-resolved chromosome assembly provides evolutionary insights and targeted steviol glycosides (SGs) biosynthesis in Stevia rebaudiana Bertoni.

Stevia rebaudiana Bertoni is popular source of plant-derived low/no-calorie natural sweeteners (LNCSs), collectively known as steviol glycosides (SGs). Nevertheless, genetic predisposition for targeted biosynthesis of SGs is complex due to multi-substrate functionality of key uridine diphosphate glycosyltransferases (UGTs). Here, we created a high-quality monoploid assembly of 1.34 Gb with N50 value of 110 Mb, 55 551 predicted protein-coding genes, and ~80% repetitive regions in Rebaudioside-A (Reb-A) enriched cultivar of S. rebaudiana. Additionally, a haplotype-based chromosome assembly consisting of haplotype A and haplotype B with an overall genome size of 2.33Gb was resolved, harbouring 639 634 variants including single nucleotide polymorphisms (SNPs), indels and structural variants (SVs). Furthermore, a lineage-specific whole genome duplication analysis revealed that gene families encoding UGTs and Cytochrome-P450 (CYPs) were tandemly duplicated. Additionally, expression analysis revealed five tandemly duplicated gene copies of UGT76G1 having significant correlations with Reb-A content, and identified key residue (leu200val) in the glycosylation of Reb-A. Furthermore, missense variations identified in the acceptor region of UGT76G1 in haplotype resolve genome, transcriptional and molecular docking analysis were confirmed with resequencing of 10 diverse stevia genotypes (~25X). Gene regulatory network analysis identified key transcription factors (MYB, bHLH, bZIP and AP2-ERF) as potential regulators of SG biosynthesis. Overall, this study provides haplotype-resolved chromosome-level genome assembly for genome editing and enhancing breeding efforts for targeted biosynthesis of SGs in S. rebaudiana.

Hybrid Molecules Containing Methotrexate, Vitamin D, and Platinum Derivatives: Synthesis, Characterization, In VitroCytotoxicity, In Silico ADME Docking, Molecular Docking and Dynamics.

Designing hybrid-based drugs is one promising strategy for developing effective anticancer drugs that explore combination therapy to enhance treatment efficacy, overcome the development of drug resistance, and lower treatment duration. Bisphosphonates and Vitamin D are commonly administered drugs for the treatment of bone diseases and the prevention of bone metastases. Platinum-based and methotrexate are widely used anticancer drugs in clinics. However, their use is hampered by adverse side effects. Hybrid-based compounds containing either bisphosphonate, vitamin D, platinum-based or methotrexate were synthesized and characterized using FTIR, 1H-,31P, 13C-NMR, and UHPLC-HRMS which confirmed their successful synthesis. The hydroxyapatite bone binding assay revealed a promising percentage binding affinity of the bisphosphonate hybrid compounds. In vitro cytotoxicity assays on MCF-7 and HT-29 cell lines revealed a promising cytotoxic effect of hybrid 19 at 50 and 100 µg/mL on HT-29 and hybrid 15 on MCF-7 at 100 µg/mL. Molecular docking and dynamics simulation analysis revealed a binding affinity of -9.70 kcal/mol for hybrid 15 against Human 3 alpha-hydroxysteroid dehydrogenase type 3, showing its capability to inhibit Human 3 alpha-hydroxysteroid dehydrogenase type 3. The Swiss ADME, ProTox-II, GUSAR (General Unrestricted Structure-Activity Relationships), and molecular docking and dynamics studies revealed that these compounds are promising anticancer compounds.

Molecular mechanisms of Buqing granule for the treatment of diabetic retinopathy: Network pharmacology analysis and experimental validation.

Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus. Its blindness rate is high; therefore, finding a reasonable and safe treatment plan to prevent and control DR is crucial. Currently, there are abundant and diverse research results on the treatment of DR by Chinese medicine Traditional Chinese medicine compounds are potentially advantageous for DR prevention and treatment because of its safe and effective therapeutic effects. To investigate the effects of Buqing granule (BQKL) on DR and its mechanism from a systemic perspective and at the molecular level by combining network pharmacology and in vivo experiments. This study collected information on the drug targets of BQKL and the therapeutic targets of DR for intersecting target gene analysis and protein-protein interactions (PPI), identified various biological pathways related to DR treatment by BQKL through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, and preliminarily validated the screened core targets by molecular docking. Furthermore, we constructed a diabetic rat model with a high-fat and high-sugar diet and intraperitoneal streptozotocin injection, and administered the appropriate drugs for 12 weeks after the model was successfully induced. Body mass and fasting blood glucose and lipid levels were measured, and pathological changes in retinal tissue were detected by hematoxylin and eosin staining. ELISA was used to detect the oxidative stress index expression in serum and retinal tissue, and immunohistochemistry, real-time quantitative reverse transcription PCR, and western blotting were used to verify the changes in the expression of core targets. Six potential therapeutic targets of BQKL for DR treatment, including Caspase-3, c-Jun, TP53, AKT1, MAPK1, and MAPK3, were screened using PPI. Enrichment analysis indicated that the MAPK signaling pathway might be the core target pathway of BQKL in DR treatment. Molecular docking prediction indicated that BQKL stably bound to these core targets. In vivo experiments have shown that compared with those in the Control group, rats in the Model group had statistically significant (P < 0.05) severe retinal histopathological damage; elevated blood glucose, lipid, and malondialdehyde (MDA) levels; increased Caspase-3, c-Jun, and TP53 protein expression; and reduced superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) levels, ganglion cell number, AKT1, MAPK1, and MAPK3 protein expression. Compared with the Model group, BQKL group had reduced histopathological retinal damage and the expression of blood glucose and lipids, MDA level, Caspase-3, c-Jun and TP53 proteins were reduced, while the expression of SOD, GSH-Px level, the number of ganglion cells, AKT1, MAPK1, and MAPK3 proteins were elevated. These differences were statistically significant (P < 0.05). BQKL can delay DR onset and progression by attenuating oxidative stress and inflammatory responses and regulating Caspase-3, c-Jun, TP53, AKT1, MAPK1, and MAPK3 proteins in the MAPK signaling pathway mediates these alterations.

A Bis(Acridino)-Crown Ether for Recognizing Oligoamines in Spermine Biosynthesis

Oligoamines in cellular metabolism carry extremely diverse biological functions (i.e., regulating Ca2+-influx, neuronal nitric oxide synthase, membrane potential, Na+, K+-ATPase activity in synaptosomes, etc.). Furthermore, they also act as longevity agents and have a determinative role in autophagy, cell growth, proliferation, and death, while oligoamines dysregulation is a key in a variety of cancers. However, many of their mechanisms of actions have just begun to be understood. In addition to the numerous biosensing methods, only a very few simple small molecule-based tests are available for their selective but reversible tracking or fluorescent labeling. Motivated by this, we present herein a new fluorescent bis(acridino)-crown ether as a sensor molecule for biogenic oligoamines. The sensor molecule can selectively distinguish oligoamines from aliphatic mono- and diamino-analogues, while showing a reversible 1:2 (host:guest) complexation with a stepwise binding process accompanied by a turn-on fluorescence response. Both computational simulations on molecular docking and regression methods on titration experiments were carried out to reveal the oligoamine-recognition properties of the sensor molecule. The new fluorescent chemosensor molecule has a high potential for molecular-level functional studies on the oligoamine systems in cell processes (cellular uptake, transport, progression in cancers, etc.).

Functional characterization of prenyltransferases involved in de novo synthesis of isoprenoids in the leaf beetle Monolepta hieroglyphica

Prenyltransferases play a pivotal role in the isoprenoid biosynthesis and transfer in insects. In the current study, two classes of prenyltransferases (MhieFPPS1 and MhieFPPS2, MhiePFT-β and MhiePF/GGT-α) were identified in the leaf beetle, Monolepta hieroglyphica. Phylogenetic analysis revealed that MhieFPPS1, MhieFPPS2, MhiePFT-β and MhiePF/GGT-α were clustered in one clade with homologous in insects. Moreover, MhieFPPS2 lacked one aspartate-rich motif SARM. Molecular docking and kinetic analysis indicated that the (E)-GPP displayed higher affinity with MhieFPPS1 compared to DMAPP within the binding pocket containing metal binding sites (MG). The other class of prenyltransferases (MhiePFT-β and MhiePF/GGT-α) lack the aspartate-rich motif. Docking results indicated that binding site of MhiePFT-β involved divalent metal ions (Zn) and bound farnesyl or geranylgeranyl. In vitro, only recombiant MhieFPPS1 could catalyze the formation of (E)-farnesol against different combination of substrates, including IPP/DMAPP and IPP/(E)-GPP, highlighting the importance of SARM for enzyme activities. Kinetic analysis further indicated that MhiePFT-β operated via Zn2+-dependent substrate binding, while MhiePF/GGT-α stabilized the β-subunit during catalytic reaction. These findings contribute to a valuable insight in to understanding of the mechanisms involved in the biosynthesis and delivery of isoprenoid products in beetles.

Virtual design and screening of new (+)-catechin derivates N- and/or S-heterocyclic fragment for anti-malarial and anti-SARS-CoV-2 activities by In silico simulation

Hemisynthesis makes it possible to improve the activity or reduce the toxicity of a biocompound by modifying or adding peripheral groups. Catechin present in different plant species was known for its moderate anti-malarial and anti-SARS-CoV-2 activities. The aim of this work was focused on the identification of new compounds with potential anti-SARS-CoV-2 and/or anti-malarial activities, evaluated through In silico simulation. A polyphenol pharmacophore model, based on (+)-catechin (1) was virtually constructed using previously reported inhibitors. N- and/or S-heterocyclic fragments were inserted on the backbone of (+)-catechin and 12 pharmacophore hypotheses were studied. This study targeted 3 proteins biologically responsible for SARS-CoV-2 (PDB ID: 7JYC, 6M0J, and 6HZD) and one protein responsible for malaria (PDB ID: 3SRJ). Molecular docking had shown that the new catechin-aldehyde candidates have good Ligand-Protein affinity in terms of free energy compared to the study reference Narlaprevir and Artesunate for SARS-CoV-2 and malaria respectively. Theoretically, most compounds didn’t show toxicity except compounds 2a, 2i, and 2k, exhibiting hepatotoxic activity. Molecular dynamics was used to prove and assess their binding stability to the target protein for each activity. The 3SRJ-2f and 6HZD-2l structures were selected for anti-malarial and anti-SARS-CoV-2 activity respectively. The 3SRJ-2f and 6HZD-2l complexes showed stable interactions to 100 ns between the inhibitor fragments and the residual amino acids of the protein. To conclude, these novel compounds are probably to become promising lead molecules for the development of effective anti-SARS-CoV-2 and/or anti-malarial of all drugs. Keywords: Catechin, Anti-malarial, Anti-SARS-CoV-2, Docking and Dynamic Molecular, ADMET Analysis.

Exploring Mechanism of Pelargonidin in Treatment of Pediatric Pneumonia Based on Network Pharmacology Combined with Molecular Docking

Exploring Mechanism of Pelargonidin in Treatment of Pediatric Pneumonia Based on Network Pharmacology Combined with Molecular Docking

Synthesis of novel thiazole derivatives containing 3-methylthiophene carbaldehyde as potent anti α-glucosidase agents: In vitro evaluation, molecular docking, dynamics, MM-GBSA, and DFT studies

Thiazole derivatives bearing thiophene carbaldehyde have been successfully prepared by refluxing 3-methylthiophene carbaldehyde with thiosemicarbazide in absolute ethanol followed by treating the obtained product with different phenacyl bromide to get thiazole products in better yields. These derivatives were confirmed using 1H-, 13C NMR, and EI-MS spectrometry techniques and finally subjected for their α-glucosidase inhibitory potential. Two compounds in the series including 2 g (IC50 = 9.00 ± 0.57 µM) and 2b (IC50 = 13.50 ± 0.20 µM) were found as the most potent α-glucosidase inhibitors better than the standard acarbose. Furthermore, the remaining five compounds attributed significantly to less activity. The studied molecules were calculated on the 6–31++g(d,p) basis set at B3LYP, HF, M062X levels with the help of the Gaussian package program, and their chemical activities were compared. Following that, the molecules' interactions with different α-glucosidase proteins (PDB IDs: 1R47 and 1UAS) were investigated, and their activities were contrasted. The binding free energy of the molecule with the best docking score is computed using MM/GBSA techniques. The comparative molecular dynamics simulations of the 2g-1UAS and 2g-1R47 complexes highlight the intricate balance of forces that govern biomolecular interactions. The findings suggest that while the 2g-1UAS complex forms more stable interactions, as indicated by lower RMSD values, the 2g-1R47 complex maintains its structural integrity through strong hydrogen bonds. Overall, the equilibrium conformations achieved by both complexes suggest they are well-suited for their roles in physiological environments.

Cyclodextrin grafted chitosan thermosensitive hydrogel using dual gelling agents: Drug delivery and antibacterial materials

In this paper, three kinds of cyclodextrin-grafted-chitosan (CD-g-CS) were synthesized from chitosan (CS) and β-cyclodextrin (β-CD) with different ratios. And a series of hydrogel with good temperature sensitivity and injectability were prepared by using sodium glycerophosphate (GP) and ammonium hydrogen phosphate (AHP) as dual gelling agents. The gelation formation time of hydrogel was short, and the shortest time was 0.75 min. The FTIR spectrum and 1H-NMR spectrum showed the structure of the compounds and intermolecular interactions. The molecular docking technique probed the encapsulation mechanism of the drug with β-CD. The SEM results showed that the hydrogel had a highly interconnected three-dimensional spatial structure. The swelling ratio of hydrogel was not less than 150 % within 1 h and the degradation rate of hydrogel was not less than 75 % within 14 days. The in vitro drug release results showed that the hydrogel had optimal sustained release effect, and the cumulative release ratio was 58.3 % in 34 h. The release kinetics analysis exhibited that the hydrogel conformed to the Riter-Peppas model. The hemocompatibility test and cytotoxicity test proved that the hydrogel had good biocompatibility and biosafety. The antibacterial experiments showed that the hydrogel could inhibit the biological activity of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). Therefore, the CD-g-CS/GP-AHP hydrogel has a broad application prospect in the biological fields of drug delivery and antibacterial materials.

Cheminformatic Identification of Tyrosyl-DNA Phosphodiesterase 1 (Tdp1) Inhibitors: A Comparative Study of SMILES-Based Supervised Machine Learning Models

Background: Tyrosyl-DNA phosphodiesterase 1 (Tdp1) repairs damages in DNA induced by abortive topoisomerase 1 activity; however, maintenance of genetic integrity may sustain cellular division of neoplastic cells. It follows that Tdp1-targeting chemical inhibitors could synergize well with existing chemotherapy drugs to deny cancer growth; therefore, identification of Tdp1 inhibitors may advance precision medicine in oncology. Objective: Current computational research efforts focus primarily on molecular docking simulations, though datasets involving three-dimensional molecular structures are often hard to curate and computationally expensive to store and process. We propose the use of simplified molecular input line entry system (SMILES) chemical representations to train supervised machine learning (ML) models, aiming to predict potential Tdp1 inhibitors. Methods: An open-sourced consensus dataset containing the inhibitory activity of numerous chemicals against Tdp1 was obtained from Kaggle. Various ML algorithms were trained, ranging from simple algorithms to ensemble methods and deep neural networks. For algorithms requiring numerical data, SMILES were converted to chemical descriptors using RDKit, an open-sourced Python cheminformatics library. Results: Out of 13 optimized ML models with rigorously tuned hyperparameters, the random forest model gave the best results, yielding a receiver operating characteristics-area under curve of 0.7421, testing accuracy of 0.6815, sensitivity of 0.6444, specificity of 0.7156, precision of 0.6753, and F1 score of 0.6595. Conclusions: Ensemble methods, especially the bootstrap aggregation mechanism adopted by random forest, outperformed other ML algorithms in classifying Tdp1 inhibitors from non-inhibitors using SMILES. The discovery of Tdp1 inhibitors could unlock more treatment regimens for cancer patients, allowing for therapies tailored to the patient’s condition.

In silico Investigation of the Interactions of Thymol and Carvacrol on the Spike Protein of Omicron Variant and MPro Enzyme of Coronavirus

Many drug studies have been conducted against the coronavirus disease, which has affected the whole world since December 2019, and some studies have been carried out on natural treatment methods. Many ideas for curing coronavirus disease of T. vulgaris known as thyme plant have been presented, although there are gaps in the literature on the subject. In this work, the anti-severe acute respiratory syndrome coronavirus 2 potential of the major compounds of the T. vulgaris plant’s essential oil was investigated in silico. The major components of the T. vulgaris plant's essential oil are thymol and carvacrol. Using molecular docking experiments, we evaluated the effects of thymol and carvacrol in thyme essential oil on Omicron variant spike protein and main protease enzyme (Mpro) of severe acute respiratory syndrome coronavirus 2. We also used online databases to investigate the adsorption, distribution, metabolism, absorption, and toxic (ADMET) aspects of these two compounds. It was determined that thymol and carvacrol have strong binding affinity to the spike protein of the Omicron variant and the main protease enzyme. The compounds interact with target proteins through electrostatic, hydrogen bonds, and hydrophobic interactions. More promising findings are obtained when the contacts of carvacrol with target proteins are assessed in terms of the structure-activity relationship.

Uncovering naringin’s anticancer mechanisms in glioblastoma via molecular docking and network pharmacology approaches

Naringin, a flavonoid, exhibits diverse therapeutic properties and has been proven to exert cytotoxic effects on cancer cells. Nevertheless, the precise mechanism of naringin maintaining its cytotoxic effect on glioblastoma (GBM) remains unknown. Thus, the current study aimed to establish a plausible cellular mechanism for Naringin’s inhibition of GBM. We employed various system biology techniques to forecast the primary targets, including gene ontology and cluster analysis, KEGG enrichment pathway estimation, molecular docking, MD (molecular dynamic) simulation and MMPBSA analysis. Glioblastoma target sequences were obtained via DisGeNet and Therapeutic Target Prediction, aligned with naringin targets, and analyzed for gene enrichment and ontology. Gene enrichment analysis identified the top ten hub genes. Further, molecular docking was conducted on all identified targets. For molecular dynamics modelling, we selected the two complexes that exhibited the most docking affinity and the two most prominent genes of the hub identified through analysis of the enrichment of genes. The PARP1 and ALB1 signalling pathways were found to be the main regulated routes. Naringin exhibited the highest binding potential of − 12.90 kcal/mol with PARP1 (4ZZZ), followed by ABL1 (2ABL), with naringin showing a − 8.4 kcal/mol binding score, as determined by molecular docking. The molecular dynamic approach and MM-PBSA investigation along with PCA study revealed that the complex of Naringin, with 4ZZZ (PARP1) and, 2ABL (ABL1), are highly stable compared to that of imatinib and talazoparib. Analyses of the signalling pathway suggested that naringin may have anticancer effects against GBM by influencing the protein PARP and ALB1 levels. Cytotoxicity assay was performed on two different glioblastoma cell lines C6 and U87MG cells. Naringin demonstrates a higher cytotoxic potency against U87MG human glioblastoma cells compared to C6 rat glioma cells.

Inhibitory activity and mechanism of thiosemicarbazide derivatives on tyrosinase and their anti-browning activity in fresh apple juice

Exploring tyrosinase inhibitors has been an effective way to find promising anti-browning agents in the food industry. Therefore, a class of thiosemicarbazide derivatives (4a-4m) were synthesized and we investigated the inhibitory mechanism on tyrosinase by fluorescence quenching, copper ion chelating and UV spectra study etc. 2-(2-Chlorobenzyl) hydrazine-1-carbothioamide (4f) (IC50 = 1.21 ± 0.02 μM) is the most active compound of all derivatives, which was defined as a mix-type inhibitor. Additionally, molecular docking and copper ions chelating studies indicated that compound 4f has the ability to inhibit the tyrosinase activity by chelating the copper ions in the active region. Furthermore, compound 4f also exhibited lower cytotoxicity, excellent aqueous solubility and outstanding anti-browning capacity in fresh apple juice. These findings indicated these derivatives could provide more possibility for developing more safer and effective anti-browning agents.

Baicalin Inhibits FIPV Infection In Vitro by Modulating the PI3K-AKT Pathway and Apoptosis Pathway

Feline infectious peritonitis (FIP), a serious infectious disease in cats, has become a challenging problem for pet owners and the industry due to the lack of effective vaccinations and medications for prevention and treatment. Currently, most natural compounds have been proven to have good antiviral activity. Hence, it is essential to develop efficacious novel natural compounds that inhibit FIPV infection. Our study aimed to screen compounds with in vitro anti-FIPV effects from nine natural compounds that have been proven to have antiviral activity and preliminarily investigate their mechanisms of action. In this study, the CCK-8 method was used to determine the maximum noncytotoxic concentration (MNTC), 50% cytotoxic concentration (CC50), and 50% effective concentration (EC50) of natural compounds on CRFK cells and the maximum inhibition ratio (MIR) of the compounds inhibit FIPV. The effect of natural compounds on FIPV-induced apoptosis was detected via Annexin V-FITC/PI assay. Network pharmacology (NP), molecular docking (MD), and 4D label-free quantitative (4D-LFQ) proteomic techniques were used in the joint analysis the mechanism of action of the screened natural compounds against FIPV infection. Finally, Western blotting was used to validate the analysis results. Among the nine natural compounds, baicalin had good antiviral effects, with an MIR &gt; 50% and an SI &gt; 3. Baicalin inhibited FIPV-induced apoptosis. NP and MD analyses showed that AKT1 was the best target of baicalin for inhibiting FIPV infection. 4D-LFQ proteomics analysis showed that baicalin might inhibit FIPV infection by modulating the PI3K-AKT pathway and the apoptosis pathway. The WB results showed that baicalin promoted the expression of EGFR, PI3K, and Bcl-2 and inhibited the expression of cleaved caspase 9 and Bax. This study found that baicalin regulated the PI3K-AKT pathway and the apoptosis pathway in vitro and inhibited FIPV-induced apoptosis, thus exerting anti-FIPV effects.

Pyrimidine-triazole-tethered tert-butyl-piperazine-carboxylate suppresses breast cancer by targeting estrogen receptor signaling and β-catenin activation.

Several chemotherapeutics against breast cancer are constrained by their adverse effects and chemoresistance. The development of novel chemotherapeutics to target metastatic breast cancer can bring effective clinical outcomes. Many breast cancer patients present with tumors that are positive for estrogen receptors (ERs), highlighting the importance of targeting the ER pathway in this particular subtype. Although selective estrogen receptor modulators (SERMs) are commonly used, their side effects and resistance issues necessitate the development of new ER-targeting agents. In this study, we report that a newly synthesized compound, TTP-5, a hybrid of pyrimidine, triazole, and tert-butyl-piperazine-carboxylate, effectively binds to estrogen receptor alpha (ERα) and suppresses breast cancer cell growth. We assessed the impact of TTP-5 on cell proliferation using MTT and colony formation assays and evaluated its effect on cell motility through wound healing and invasion assays. We further explored the mechanism of action of this novel compound by detecting protein expression changes using Western blotting. Molecular docking was used to confirm the interaction of TTP-5 with ERα. The results indicated that TTP-5 significantly reduced the proliferation of MCF-7 cells by blocking the ERα signaling pathway. Conversely, although it did not influence the growth of MDA-MB-231 cells, TTP-5 hindered their motility by modulating the expression of proteins associated with epithelial-mesenchymal transition (EMT), possibly via the Wnt/β-catenin pathway.

The Counterion (SO42− and NO3−) Effect on Crystallographic, Quantum-Chemical, Protein-, and DNA-Binding Properties of Two Novel Copper(II)–Pyridoxal-Aminoguanidine Complexes

New Cu(II) complexes with pyridoxal-aminoguanidine (PLAG) ligands and different counterions (SO42− and NO3−) were prepared and their crystal structures were solved by the X-ray crystallography. The geometries of the obtained complexes significantly depended on the counterions, leading to the square-pyramidal structure of [Cu(PLAG)NO3H2O]NO3 (complex 1) and square-planar structure of [Cu(PLAG)H2O]SO4 (complex 2). The intermolecular interactions were examined using the Hirshfeld surface analysis. The theoretical structures of these complexes were obtained by optimization at the B3LYP/6-311++G(d,p)(H,C,N,O,S)/LanL2DZ(Cu) level of theory. The Quantum Theory of Atoms in Molecules (QTAIM) was applied to assess the strength and type of the intramolecular interactions and the overall stability of the structures. The interactions between the complexes and transport proteins (human serum albumin (HSA)) and calf thymus DNA (CT-DNA) were examined by spectrofluorometric/spectrophotometric titration and molecular docking. The binding mechanism to DNA was assessed by potassium iodide quenching experiments. The importance of counterions for binding was shown by comparing the experimental and theoretical results and the examination of binding at the molecular level.

Synthesis and Evaluation of 18F-Labeled Phenylpiperazine-like Dopamine D3 Receptor Radioligands for Positron Emission Tomography Imaging.

The dopamine D3 receptor (D3R) is important in the pathophysiology of various neuropsychiatric disorders, such as depression, bipolar disorder, schizophrenia, drug addiction, and Parkinson's disease. Positron emission tomography (PET) with innovative radioligands provides an opportunity to assess D3R in vivo and to elucidate D3R-related disease mechanisms. Herein, we present the synthesis of eight 18F-labeled phenylpiperazine-like D3R-selective radioligands possessing good radiochemical purity (>97%), in vitro stability (>95%), and befitting lipophilicity. Based on in vitro binding assays and static microPET studies, the phenylpiperazine-like radioligands [18F]FBPC01 and [18F]FBPC03 were chosen as lead radioligands targeting D3R. Molecular docking further elucidated their binding mechanism. Radiolabeling conditions were optimized and then applied to an automated radiolabeling process, affording products with high specific activity (>112 GBq/μmol). Dynamic rat PET study demonstrated the specific binding of [18F]FBPC01 and [18F]FBPC03 to D3R in the brain ventricles and the pituitary gland. Validated by dynamic PET data analysis, biodistribution study, and metabolism analysis, [18F]FBPC03 exhibited the highest PET signal-to-noise ratio, good D3R-specific binding in the brain ventricles and pituitary gland of rats with few off-target binding, negligible defluorination, and stable brain metabolism, which indicated that [18F]FBPC03 was a promising D3R radioligand.

Stereoisomeric separation and chiral recognition mechanism study of star cyclodextrin polymer as the chiral stationary phase

BackgroundAs the derivatives of cyclodextrin (CD), cyclodextrin polymers (CDPs) effectively increase the concentration of CD units and construct supramolecular structures with unique stereoselectivity by the structure design. CDPs have shown significant potential in chiral separation, however, the process of stereoselective interactions on chiral stationary phases (CSPs) and the specific contribution of intermolecular forces are still a challenge issue. A comprehensive understanding of the chiral recognition mechanism of CDPs will help to optimize chiral separation conditions and design new CSPs. ResultsThe star CDP with a supermolecular structure was synthesized by grafting β-CD onto the external 6-position hydroxyl groups using β-CD as the parent nucleus. The enhanced host-guest recognition ability of CD supramolecular polymer structure provided better inclusion interaction and increased chiral recognition of the isomers. The Star-CD CSP with star CDP as a chiral ligand performed satisfactory stereoisomer separation ability with the separation factor (α) up to 2.0 for various quinoline alkaloid isomers and 1.89 for catechins. To elucidate its chiral separation mechanism, molecular docking was used to construct the three-dimensional visual models of the binding sites and the contribution of non-covalent interactions between Star-CD CSP and quinoline alkaloid isomers. In addition, the formation sites of non-covalent interactions on the CD monomers of the polymer side chains were confirmed from the actual geometric structure by analyzing the NMR chemical shift changes before and after the formation of complexes between Star-CD polymers and isomers. Combined with the mutual evidence of molecular simulation and chiral NMR, the specific recognition mechanism of selector-selectand complexes was comprehensively expounded. SignificanceThe multi-mode CSP based on cyclodextrin supramolecular structure provides new ideas for the stereoisomeric separation of complex chiral components with multiple chiral centers in natural products. Not limited to the macroscopic performance of the chromatographic separation, molecular docking explored the theoretical model of chiral recognition from the molecular level. The chiral NMR analysis confirmed the credibility of the model from the geometry structure, and then the recognition mechanism of multi-mode CSP was fully elaborated combining the above three aspects.

Discovery, lead identification and exploration of potential oxadiazole derivatives in targeting STAT3 as anti-cancer agents.

Oxadiazoles an important heterocyclic scaffold of medicinal importance in the field of drug discovery. In the study, a library of oxadiazole based compounds was selected for screening against STAT-3 as anti-cancer target. STAT3 is a potential target of interest in cancer therapy. A total of 544 screened library of compounds was subjected to molecular docking against STAT-3 (6NJS and 6NQU). The compounds with good dock score and binding interations were further subjected to in-silico ADME analysis followed by toxicity estimation. A total of 141 hits were selected against 6NJS and 50 hits against 6NQU and further screened for kinetic properties and drug likeliness. The compounds were screened on the basis of physico-chemical properties, solubility, gastrointestinal absorption, BBB permeability, synthetic accessibility, Lipinski and other violations. Best compounds obtained after ADME analysis were further subjected for toxicity analysis. Carcinogenecity, mutagenicity, Ames and other important parameters were considered for toxicity based screening. The best leads thus obtained (compound 114 and 40) were further subjected to molecular dynamics against the respective target proteins. MD simulations were run to access the stability of C-114 and C-40 along with the dynamic behaviour of both complexes for about 100ns and shows good stability with the proteins.