Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies

c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as “fourth generation inhibitors” constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has recently been introduced to augment docking accuracy and reduce false positives during a virtual screening. In order to obtain novel small-molecule Met inhibitors, consensus docking approach was performed using Autodock Vina and Autodock 4.2 to virtual screen Naturally Occurring Plant-based Anti-cancer Compound–Activity–Target database against active and inactive conformation of c-Met kinase domain structure. Two hit molecules that were in line with drug-likeness criteria, desired docking score, and binding pose were subjected to molecular dynamics simulations to elucidate intermolecular contacts in protein–ligand complexes. Analysis of molecular dynamics simulations and molecular mechanics Poisson–Boltzmann surface area studies showed that ZINC08234189 is a plausible inhibitor for the active state of c-Met, whereas ZINC03871891 may be more effective toward active c-Met kinase domain compared to the inactive form due to higher binding energy. Our analysis showed that both the hit molecules formed hydrogen bonds with key residues of the hinge region (P1158, M1160) in the active form, which is a hallmark of kinase domain inhibitors. Considering the pivotal role of HGF/c-Met signaling in carcinogenesis, our results propose ZINC08234189 and ZINC03871891 as the therapeutic options to surmount Met-dependent cancers.     

VEGF-R1 as a Potential Molecular Target for Anticancer Therapy

The possibility of using VEGF-R1 receptor for targeted therapy in oncology was investigated. Using the approach to measuring the protein content in intact nuclei of cells, which was developed by us, we showed the presence of this receptor in the nuclei of tumor, but not normal cells. A direct correlation between the level of VEGF-R1 expression in the nucleus and the degree of malignancy of tumor cells, indicating the prognostic value of this parameter, was found. The mechanisms of the functioning of this receptor and the pathways of inhibiting its activity are discussed, and the validity of the selection of VEGF-R1 as a molecular target for anticancer therapy is conformed.     

癌症发生的分子生物学研究方法以及生物治癌药物的开发

癌症属于一种综合性疾病,主要是由于遗传基因渐发性的突变和诱导因子逐步产生所致.从而导致正常细胞分裂周期失控,细胞分裂处于无限制状态.致使癌症发生的原因复杂,研究方向途径各异,为此我们简略地分析和介绍当前分析癌症发生的分子生物学研究方法,如cDNA微阵法,PCR技术,端粒结构变化以及DNA的甲基化等.同时,对当前生物治癌药物的方法进展进行了介绍和推介,包括单克隆抗体,癌症疫苗以及阻抑癌症发生传导系统中的抑制因子等.     

Profound Activity of the Anti-cancer Drug Bortezomib against Echinococcus multilocularis Metacestodes Identifies the Proteasome as a Novel Drug Target for Cestodes

A library of 426 FDA-approved drugs was screened for in vitro activity against E. multilocularis metacestodes employing the phosphoglucose isomerase (PGI) assay. Initial screening at 20 µM revealed that 7 drugs induced considerable metacestode damage, and further dose-response studies revealed that bortezomib (BTZ), a proteasome inhibitor developed for the chemotherapy of myeloma, displayed high anti-metacestodal activity with an EC₅₀ of 0.6 µM. BTZ treatment of E. multilocularis metacestodes led to an accumulation of ubiquinated proteins and unequivocally parasite death. In-gel zymography assays using E. multilocularis extracts demonstrated BTZ-mediated inhibition of protease activity in a band of approximately 23 kDa, the same size at which the proteasome subunit beta 5 of E. multilocularis could be detected by Western blot. Balb/c mice experimentally infected with E. multilocularis metacestodes were used to assess BTZ treatment, starting at 6 weeks post-infection by intraperitoneal injection of BTZ. This treatment led to reduced parasite weight, but to a degree that was not statistically significant, and it induced adverse effects such as diarrhea and neurological symptoms. In conclusion, the proteasome was identified as a drug target in E. multilocularis metacestodes that can be efficiently inhibited by BTZ in vitro. However, translation of these findings into in vivo efficacy requires further adjustments of treatment regimens using BTZ, or possibly other proteasome inhibitors.     

A Eukaryotic Molecular Target Candidate of Roxithromycin: Fungal Differentiation as a Sensitive Drug Target Analysis System

Roxithromycin (RXM), active against prokaryotes, has beneficial side effects such as anti-cancer activities on mammalian cells, but the mechanisms underlying these effects remain unclear. We found that RXM inhibited the cellular differentiation of the rice blast fungus Magnaporthe oryzae. Hence, we screened the targets of RXM by the T7 phage display method with fungal genomic DNA, and identified MoCDC27 (M. oryzae Cell Division Cycle 27) as a candidate. We generated mocdc27 knockdown mutants that the appressoria formation was less affected by RXM. A complemented mutant restored sensitivity against RXM to the level of the wild type. These results suggest that MoCDC27 was involved in the inhibition of appressorium formation by RXM, and that the complex of RXM-MoCDC27 affected another molecule involved in appressorium formation. The T7 phage display method with fungal genomic DNA can be a useful tool in the quest for drug target.     

Optimal Sensor Deployment According to a New Approach for Target Tracking in Smart Homes

Ambient Assisted Living (AAL) aims to ease the activities of daily lives for elderly or disabled people living in smart homes. In these systems, the assisting services are provided by use of the sensors that detect the location of inhabitants. Even though the cost and performance efficiencies of sensor networks depend directly on the number of the deployed sensors as well as the approaches that are employed to track the location of inhabitants, these factors are separately considered in research studies. In this paper, we propose an approach to track a target in smart homes. We present a new Integer Linear Programming (ILP) model that i. optimizes the number of the deployed sensors according to our proposed target tracking approach, ii. determines the placement of sensors in the network while considering the layout of the Region of Interest (RoI), iii. proposes appropriate settings for the sensors' field of view and their orientation, and, iv. deploys sensors according to the satisfaction of a reliability level in the network. In order to validate the proposed model and show its applicability, we use two sets of data, including real data gathered from a living lab and randomly generated data, as well as a test scenario. We also present a user interface that employs the concepts, which are presented in this research. The interface helps to easily monitor the location, energy consumption and well-being factors of a target in an AAL environment.     

Use of the tna Operon as a New Molecular Target for Escherichia coli Detection

A quantitative real-time PCR targeting the tnaA gene was studied to detect Escherichia coli and distinguish E. coli from Shigella spp. These microorganisms revealed high similarity in the molecular organization of the tna operon.     

Survivin as a target for new anticancer interventions

Survivin is a member of the inhibitor of apoptosis protein (IAP) family, that has been implicated in both control of cell division and inhibition of apoptosis. Specifically, its anti-apoptotic function seems to be related to the ability to directly or indirectly inhibit caspases. Survivin is selectively expressed in the most common human neoplasms and appears to be involved in tumor cell resistance to some anticancer agents and ionizing radiation. On the basis of these findings survivin has been proposed as an attractive target for new anticancer interventions. Several preclinical studies have demonstrated that down-regulation of survivin expression/function, accomplished through the use of antisense oligonucleotides, dominant negative mutants, ribozymes, small interfering RNAs and cyclin-dependent kinase inhibitors, increased the apoptotic rate, reduced tumor-growth potential and sensitized tumor cells to chemotherapeutic drugs with different action mechanisms and gamma-irradiation in in vitro and in vivo models of different human tumor types.     

Chemical Proteomics Identifies Heterogeneous Nuclear Ribonucleoprotein (hnRNP) A1 as the Molecular Target of Quercetin in Its Anti-cancer Effects in PC-3 Cells

Quercetin, a flavonoid abundantly present in plants, is widely used as a phytotherapy in prostatitis and prostate cancer. Although quercetin has been reported to have a number of therapeutic effects, the cellular target(s) responsible for its anti-cancer action has not yet been clearly elucidated. Here, employing affinity chromatography and mass spectrometry, we identified heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) as a direct target of quercetin. A specific interaction between quercetin and hnRNPA1 was validated by immunoblotting and in vitro binding experiments. We found that quercetin bound the C-terminal region of hnRNPA1, impairing the ability of hnRNPA1 to shuttle between the nucleus and cytoplasm and ultimately resulting in its cytoplasmic retention. In addition, hnRNPA1 was recruited to stress granules after treatment of cells with quercetin for up to 48 h, and the levels of cIAP1 (cellular inhibitor of apoptosis), an internal ribosome entry site translation-dependent protein, were reduced by hnRNPA1 regulation. This is the first report that anti-cancer effects of quercetin are mediated, in part, by impairing functions of hnRNPA1, insights that were obtained using a chemical proteomics strategy.     

一种水蛭素类融合蛋白与凝血酶作用的动力学模拟

通过将凝血酶抑制剂水蛭素的C端20肽片段嫁接到血小板结合蛋白AnnexinⅤ上,可以期望获得既具有抗凝血活性,同时又具有导向性的新型工程蛋白质分子.利用计算机辅助分子设计手段模拟了该融合蛋白的分子结构,并对该融合蛋白对凝血酶的抑制作用进行了分子动力学模拟,得到了支持上述想法的结果.     

Lipid II as a Target for Novel Antibiotics: Structural and Molecular Dynamics Studies

Russian Journal of Bioorganic Chemistry - The growing problem of antibiotic resistance in medicine is focusing attention on antimicrobial compounds targeting non-protein molecules, which have more...     

Sorcin a Potential Molecular Target for Cancer Therapy

Sorcin (Soluble resistance related calcium binding protein) is a small soluble penta EF family (PEF) of calcium (Ca²⁺) binding protein (22,000 Da). It has been reported to play crucial roles in the regulation of calcium homeostasis, apoptosis, vesicle trafficking, cancer development, and multidrug resistance (MDR). Overexpression of sorcin has been reported to be associated with different cancers such as breast cancer, colorectal cancer, gastric cancer, leukemia, lung cancer, nasopharyngeal cancer, ovarian cancer, etc. Essentially, expression of sorcin has been found to be elevated in cancer cells as compared to normal cells, indicating that it has prominent role in cancer. Moreover, sorcin was found to be the regulator of various proteins that has an association with carcinogenesis including NF-κB, STAT3, Akt, ERK1/2, VEGF, MMPs, caspases, etc. Sorcin was also found to regulate apoptosis, as silencing of the same resulted in increased levels of proapoptotic genes and induced mitochondrial apoptotic pathway in cancer. Interestingly, mutations in the sorcin gene have been closely linked with poor overall survival in bladder cancer, brain lower-grade glioma, glioblastoma, glioblastoma multiforme, kidney renal clear cell carcinoma, and stomach adenocarcinoma. Additionally, overexpression of sorcin was also found to induce MDR against different chemotherapeutic drugs. All these findings mark the importance of sorcin in cancer development and MDR. Therefore, there is urgent need to explore the functional mechanism of sorcin and to analyze whether silencing of sorcin would able to chemosensitize MDR cells. The current review summarizes the structure, expression, and functions of sorcin and its importance in the regulation of various malignancies and MDR.     

Molecular Validation of PACE4 as a Target in Prostate Cancer

Prostate cancer remains the single most prevalent cancer in men. Standard therapies are still limited and include androgen ablation that initially causes tumor regression. However, tumor cells eventually relapse and develop into a hormone-refractory prostate cancer. One of the current challenges in this disease is to define new therapeutic targets, which have been virtually unchanged in the past 30 years. Recent studies have suggested that the family of enzymes known as the proprotein convertases (PCs) is involved in various types of cancers and their progression. The present study examined PC expression in prostate cancer and validates one PC, namely PACE4, as a target. The evidence includes the observed high expression of PACE4 in all different clinical stages of human prostate tumor tissues. Gene silencing studies targeting PACE4 in the DU145 prostate cancer cell line produced cells (cell line 4-2) with slower proliferation rates, reduced clonogenic activity, and inability to grow as xenografts in nude mice. Gene expression and proteomic profiling of the 4-2 cell line reveals an increased expression of known cancer-related genes (e.g., GJA1, CD44, IGFBP6) that are downregulated in prostate cancer. Similarly, cancer genes whose expression is decreased in the 4-2 cell line were upregulated in prostate cancer (e.g., MUC1, IL6). The direct role of PACE4 in prostate cancer is most likely through the upregulated processing of growth factors or through the aberrant processing of growth factors leading to sustained cancer progression, suggesting that PACE4 holds a central role in prostate cancer.     

Molecular Docking Analysis of 120 Potential HPV Therapeutic Epitopes Using a New Analytical Method

International Journal of Peptide Research and Therapeutics - The accurate modelling and scoring of protein–peptide (Pr–Pe) complexes are determining factors in the drug discovery...     

Subtilisin of Leishmania amazonensis as Potential Druggable Target: Subcellular Localization,In Vitro Leishmanicidal Activity and Molecular Docking of PF-429242, a Subtilisin Inhibitor

Subtilisin proteases, found in all organisms, are enzymes important in the post-translational steps of protein processing. In Leishmania major and L. donovani, this enzyme has been described as essential to their survival; however, few compounds that target subtilisin have been investigated for their potential as an antileishmanial drug. In this study, we first show, by electron microscopy and flow cytometry, that subtilisin has broad localization throughout the cytoplasm and membrane of the parasite in the promastigote form with foci in the flagellar pocket. Through in silico analysis, the similarity between subtilisin of different Leishmania species and that of humans were determined, and based on molecular docking, we evaluated the interaction capacity of a serine protease inhibitor against both life cycle forms of Leishmania. The selected inhibitor, known as PF-429242, has already been used against the dengue virus, arenaviruses, and the hepatitis C virus. Moreover, it proved to have antilipogenic activity in a mouse model and caused hypolipidemia in human cells in vitro. Here, PF-429242 significantly inhibited the growth of L. amazonensis promastigotes of four different strains (IC₅₀ values = 3.07 ± 0.20; 0.83 ± 0.12; 2.02 ± 0.27 and 5.83 ± 1.2 µM against LTB0016, PH8, Josefa and LV78 strains) whilst having low toxicity in the host macrophages (CC₅₀ = 170.30 µM). We detected by flow cytometry that there is a greater expression of subtilisin in the amastigote form; however, PF-429242 had a low effect against this intracellular form with an IC50 of >100 µM for intracellular amastigotes, as well as against axenic amastigotes (94.12 ± 2.8 µM for the LV78 strain). In conclusion, even though PF-429242 does not affect the intracellular forms, this drug will serve as a tool to explore pharmacological and potentially leishmanicidal targets.     

EviCor: Interactive Web Platform for Exploration of Molecular Features and Response to Anti-cancer Drugs

Experimental biologists are often left alone with the task to download, process, and analyze big datasets in order to perform correlation or other simpler analyses. To address these issues, we introduce EviCor, a handy toolbox for exploration of data from large public resources such as The Cancer Genome Atlas and The Cancer Cell Line Encyclopedia, complemented with follow-up information on same samples, which couples omics datasets with drug response profiles (https://www.evicor.org/). The data was processed for easy retrieval from the server-side database and includes pre-computed drug-feature correlation tables. Using information from multiple independent sources, the task-oriented web interface presents relations between phenotype, single-molecule, and pathway variables with graphical, statistical, and network analysis tools. Building custom multivariate models is enabled via user-friendly web interface and programmatic access via RESTinterface. Project code is available at https://github.com/aveviort/HyperSet.     

小分子药靶——RNA药靶研究进展

对RNA药靶的特点、研究策略和针对RNA药靶的小分子药物筛选方法,进行了综述.RNA的三级结构作为分子相互作用的识别位点和结合位点对RNA的生物功能的实现具有重要决定作用,RNA分子同蛋白质一样将成为新型小分子药物的作用靶点.     

Molecular Docking Based Screening of Plant Flavonoids as Dengue NS1 Inhibitors

Dengue infection has turned into a serious health concern globally due to its high morbidity rate and a high possibility of increase in its mortality rate on the account of unavailability of any proper treatment for severe dengue infection. The situation demands an urgent development of efficient and practicable treatment to deal with Dengue virus (DENV). Flavonoids, a class of phytochemicals present in medicinal plants, possess anti-viral activity and can be strong drug candidates against viruses. NS1 glycoprotein of Dengue virus is involved in its RNA replication and can be a strong target for screening of drugs against this virus. Current study focuses on the identification of flavonoids which can block Asn-130 glycosylation site of Dengue virus NS1 to inhibit viral replication as glycosylation of NS1 is required for its biological functioning. Molecular docking approach was used in this study and the results revealed that flavonoids have strong potential interactions with active site of NS1. Six flavonoids (Deoxycalyxin A; 3,5,7,3'',4''-pentahydroxyflavonol-3-O-beta-D-galactopyranoside; (3R)-3'',8-Dihydroxyvestitol; Sanggenon O; Epigallocatechin gallate; Chamaejasmin) blocked the Asn-130 glycosylation site of NS1 and could be able to inhibit the viral replication. It can be concluded from this study that these flavonoids could serve as antiviral drugs for dengue infections. Further in-vitro analyses are required to confirm their efficacy and to evaluate their drug potency.     

Molecular Structure-Affinity Relationship of Bufadienolides and Human Serum Albumin In Vitro and Molecular Docking Analysis

The development of bufadienolides as anti-tumor agents is limited due to poor pharmacokinetic properties regarding drug half-lives and toxicity in vivo. These serious factors might be improved by increasing the drug/albumin-binding ratio. This study therefore investigated the relationship between the structural properties of nine bufadienolides and their affinities for human serum albumin (HSA) by a fluorescence spectroscopy-based analysis and molecular docking. Fluorescence quenching data showed that the interaction of each bufadienolide with HSA formed a non-fluorescent complex, while thermodynamic parameters revealed negative ΔS and ΔH values, corresponding to changes in enthalpy and entropy, respectively. The structural differences between the various bufadienolides markedly influenced their binding affinity for HSA. With the exception of a C = O bond at the C12 position that decreased the binding affinity for HSA, other polar groups tended to increase the affinity, especially a hydroxyl (OH) group at assorted bufadienolide sites. The rank order of binding affinities for drugs with tri-hydroxyl groups was as follows: 11-OH > 5-OH > 16-OH; in addition, 16-acetoxy (OAc), 10-aldehyde and 14-epoxy constituents notably enhanced the binding affinity. Among these groups, 11-OH and 16-acetyl were especially important for a seamless interaction between the bufadienolides and HSA. Furthermore, molecular docking analysis revealed that either an 11-OH or a 16-OAc group spatially close to a five-membered lactone ring significantly facilitated the anchoring of these compounds within site I of the HSA pocket via hydrogen bonding (H-bonding) with Tyr150 or Lys199, respectively. In summary, bufadienolide structure strongly affects binding with HSA, and 11-OH or 16-OAc groups improve the drug association with key amino acid residues. This information is valuable for the prospective development of bufadienolides with improved pharmacological profiles as novel anti-tumor drugs.