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While phosphatidylinositol 4-kinase (PI4KIIα) has been identified as a potential target for antitumor therapy, the clinical applications of PI4KIIα are limited by a lack of specific inhibitors. Here we report the first small-molecule inhibitor (SMI) of human PI4KIIα. Docking-based and ligand-based virtual screening strategies were first employed to identify promising hits, followed by two rounds of kinase activity inhibition validation. 2-(3-(4-Chlorobenzoyl)thioureido)-4-ethyl-5-methylthiophene-3-carboxamide (PI-273) exhibited the greatest inhibitory effect on PI4KIIα kinase activity (IC50 = 0.47 μmol/L) and suppressed cell proliferation. Surface plasmon resonance and thermal shift assays indicated that PI-273 interacted directly with PI4KIIα. Kinetic analysis identified PI-273 as a reversible competitive inhibitor with respect to the substrate phosphatidylinositol (PI), which contrasted with most other PI kinase inhibitors that bind the ATP binding site. PI-273 reduced PI4P content, cell viability, and AKT signaling in wild-type MCF-7 cells, but not in PI4KIIα knockout MCF-7 cells, indicating that PI-273 is highly selective for PI4KIIα. Mutant analysis revealed a role of palmitoylation insertion in the selectivity of PI-273 for PI4KIIα. In addition, PI-273 treatment retarded cell proliferation by blocking cells in G2–M, inducing cell apoptosis and suppressing colony-forming ability. Importantly, PI-273 significantly inhibited MCF-7 cell-induced breast tumor growth without toxicity. PI-273 is the first substrate-competitive, subtype-specific inhibitor of PI4KIIα, the use of which will facilitate evaluations of PI4KIIα as a cancer therapeutic target. Cancer Res; 77(22); 6253–66. ©2017 AACR.

A protease-responsive probe is developed based on a molecular dynamics simulation method for the rational design of the hairpin "turn" structure of peptides. The Förster resonance energy transfer (FRET)-based probe is used for in vivo detection of legumain, a protease overexpressed in inflammation-related carcinogenesis, providing a potential method for early cancer detection and tumor imaging, and helpful information for better understanding legumain's role in tumorigenesis.

International audience; Protein synthesis plays an essential role in cell proliferation, differentiation, and survival. Inhibitors of eukaryotic translation have entered the clinic, establishing the translation machinery as a promising target for chemotherapy. A recently discovered, structurally unique marine sponge-derived brominated alkaloid, (-)-agelastatin A (AglA), possesses potent antitumor activity. Its underlying mechanism of action, however, has remained unknown. Using a systematic top-down approach, we show that AglA selectively inhibits protein synthesis. Using a high-throughput chemical footprinting method, we mapped the AglA-binding site to the ribosomal A site. A 3.5 Å crystal structure of the 80S eukaryotic ribosome from S. cerevisiae in complex with AglA was obtained, revealing multiple conformational changes of the nucleotide bases in the ribosome accompanying the binding of AglA. Together, these results have unraveled the mechanism of inhibition of eukaryotic translation by AglA at atomic level, paving the way for future structural modifications to develop AglA analogs into novel anticancer agents.

Background: Signals provided by the microenvironment can modify and circumvent pathway activities that are therapeutically targeted by drugs. However, a systems-level understanding of how the microenvironment and the genetic and molecular alterations of the tumor interact with each other and contribute to drug resistance is lacking. Methods: To address this unmet need, we established an automated microscopy-based phenotyping platform that uses co-culture conditions mimicking the bone marrow environment. We cultured primary tumor cells from more than 100 leukemia patients (CLL, AML, MCL, T-PLL, HCL) with and without bone marrow stroma cell support in DMEM and 10% human serum and treated each condition with 57 drugs in 3 concentrations. After 72h of incubation, 22 000 images per patient were acquired and processed by our custom made image analysis pipeline. Our set-up allows us to increase sensitivity far beyond simple viability testing, as it reads out additional cell type specific features such as cell morphology, autophagy and cell-cell interactions. Results: Quality assessment revealed that in contrast to mono-culture conditions, assay plate edge effects can be avoided under stable stroma cell co-culture conditions. Correlation of replicated patient samples were comparable between mono- and co-cultures (R2>0.75). In the absence of their native microenvironment, primary leukemia cells undergo spontaneous apoptosis ex-vivo. Viability at culture start was always >90% and dropped to a median of 51% (viability range: 17%-90%) after 72h in mono-cultures. Among CLL samples spontaneous apoptosis was not dependent on either IGHV mutation status or any major cytogenetic risk group. Bone marrow stroma cell co-culture conditions protected tumor cells from spontaneous apoptosis (p=8.2e-6, paired t-test). Patient samples with a high degree of spontaneous apoptosis benefited most from co-culture conditions (p=7.2e-10, Pearson correlation). To model interactions of stroma cell conditions and drug-induced apoptosis we established the following linear model: Viability ~ drug-effect + culture-model + drug-effect:culture-model. While activity of some drugs was significantly altered under co-culture conditions, we could also identify drugs with similar activity in mono- and co-cultures. For instance, the activity of common chemotherapeutics (fludarabine: p=0.002 at 0.6µM, cytarabine: p=0.001 at 1.5µM, ANOVA) or bromodomain inhibitors (I-BET-762: p=5.9e-5 at 4.5µM, JQ1: p=1.5e-8 at 1.5µM, ANOVA) was significantly reduced under co-culture conditions. In contrast, PI3K inhibitors idelalisib and duvelisib had a similar activity in mono-culture and stroma co-culture conditions and might represent a starting point to overcome stroma cell mediated drug resistance. In CLL, we identified IGHV mutation status and trisomy 12 as important determinants of response to kinase inhibitors. We confirmed these findings in stroma cell co-cultures, e.g. a better activity of B-cell receptor inhibitors in trisomy 12 and IGHV unmutated CLL. A systematic comparison of ex-vivo drug response pattern in mono- and co-cultures across 171 drug conditions will be presented. Conclusion: Our results suggest that high throughput co-culture drug testing can be robustly performed and provide an unprecedented understanding of how the stroma cell microenvironment and the genetic make-up of tumor cells contribute to drug resistance and sensitivity. Figure: Over 2 million microscopy images were acquired and analysed to assess drug resistance and sensitivity in a co-culture model of primary leukemia and bone marrow stroma cells. blue= Hoechst33342, green=Calcein AM, red=lysosomal dye NIR Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.

Epigenetics is key to understanding modulation of gene expression at specific stages and conditions in nervous system development and function. In epigenetic processes, a variety of enzymes contribute to modify chromatin with methyl, acetyl or other chemical marks, leading to repression or activation of the targeted gene without altering the original sequence. Aberrant activities of these epigenetic enzymes are implicated in many nervous system diseases, including neurodevelopmental disorders, brain cancer, neurodegenerative diseases, and mental illnesses. Thus, they have emerged as new targets for treating a variety of nervous system disorders. In this review, we briefly summarize the association between various epigenetic mechanisms and discuss recent progress in drug discovery efforts involving epigenetic regulators.

New Delhi metallo-β-lactamase-1 (NDM-1) has emerged as a major global threat to human health for its rapid rate of dissemination and ability to make pathogenic microbes resistant to almost all known β-lactam antibiotics. In addition, effective NDM-1 inhibitors have not been identified to date. In spite of the plethora of structural and kinetic data available, the accurate molecular characteristics of and details on the enzymatic reaction of NDM-1 hydrolyzing β-lactam antibiotics remain incompletely understood. In this study, a combined computational approach including molecular docking, molecular dynamics simulations and quantum mechanics/molecular mechanics calculations was performed to characterize the catalytic mechanism of meropenem catalyzed by NDM-1. The quantum mechanics/molecular mechanics results indicate that the ionized D124 is beneficial to the cleavage of the C-N bond within the β-lactam ring. Meanwhile, it is energetically favorable to form an intermediate if no water molecule coordinates to Zn2. Moreover, according to the molecular dynamics results, the conserved residue K211 plays a pivotal role in substrate binding and catalysis, which is quite consistent with previous mutagenesis data. Our study provides detailed insights into the catalytic mechanism of NDM-1 hydrolyzing meropenem β-lactam antibiotics and offers clues for the discovery of new antibiotics against NDM-1 positive strains in clinical studies.

TET proteins iteratively convert 5-methylcytosine (5mC) into 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxylcytosine (5caC) in a Fe(ii)/α-ketoglutarate-dependent manner. Our previous biochemical studies revealed that TET proteins are more active on 5mC than on 5hmC and 5fC. However, the source of the substrate preference of TET proteins still remains largely elusive. Here, we investigated the substrate binding and catalytic mechanisms of oxidation reactions mediated by TET2 on different substrates through computational approaches. In accordance with previous experimental reports, our computational results suggest that TET2 can bind to different substrates with comparable binding affinities and the hydrogen abstraction step in the catalytic cycle acts as the rate-limiting step. Further structural characterization of the intermediate structures revealed that the 5-substitution groups on 5hmC and 5fC adopt an unfavorable orientation for hydrogen abstraction, which leads to a higher energy barrier for 5hmC and 5fC (compared to 5mC) and thus a lower catalytic efficiency. In summary, our mechanical insights demonstrate that substrate preference is the intrinsic property of TET proteins and our theoretical calculation results can guide further dry-lab or wet-lab studies on the catalytic mechanism of TET proteins as well as other Fe(ii)/α-ketoglutarate (KG)-dependent dioxygenases.

Recent breakthroughs in generating induced pluripotent stem cells (iPSCs) using four defined factors have revealed the potential utility of stem cells in biological research and clinical applications. However, the low efficiency and slow kinetics of reprogramming related to producing these cells and underlying safety issues, such as viral integration and genetic and epigenetic abnormalities of iPSCs, hamper the further application of iPSCs in laboratory and clinical settings. Previous studies have suggested that reprogramming efficiency can be enhanced and that reprogramming kinetics can be accelerated by manipulating epigenetic status. Herein, we review recent studies on the application of epigenome-modifying small molecules in enhancing reprogramming and functionally replacing some reprogramming factors. We mainly focus on studies that have used small molecules to interfere with epigenome-modifying enzymes, such as DNA methyltransferase, histone acetyltransferase, and histone methyltransferase. The potential use of these small molecules in inducing iPSCs and new ways to identify small molecules of higher potency and fewer side effects are also discussed.

The connection between inflammation and tumourigenesis has been well established. However, the detailed molecular mechanism underlying inflammation-associated tumourigenesis remains unknown because this process involves a complex interplay between immune microenvironments and epithelial cells. To obtain a more systematic understanding of inflammation-associated tumourigenesis as well as to identify novel therapeutic approaches, we constructed a knowledge-based network describing the development of colitis-associated colon cancer (CAC) by integrating the extracellular microenvironment and intracellular signalling pathways. Dynamic simulations of the CAC network revealed a core network module, including P53, MDM2 and AKT, that may govern the malignant transformation of colon epithelial cells in a pro-tumor inflammatory microenvironment. Furthermore, in silico mutation studies and experimental validations led to a novel finding that concurrently targeting ceramide and PI3K/AKT pathway by chemical probes or marketed drugs achieves synergistic anti-cancer effects. Overall, our network model can guide further mechanistic studies on CAC and provide new insights into the design of combinatorial cancer therapies in a rational manner.

DNA methylation is an important epigenetic modification(1-3). Ten-eleven translocation (TET) proteins are involved in DNA demethylation through iteratively oxidizing 5-methylcytosine (5mC) into 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC)(4-8). Here we show that human TET1 and TET2 are more active on 5mC-DNA than 5hmC/5fC-DNA substrates. We determine the crystal structures of TET2-5hmC-DNA and TET2-5fC-DNA complexes at 1.80 angstrom and 1.97 angstrom resolution, respectively. The cytosine portion of 5hmC/5fC is specifically recognized by TET2 in a manner similar to that of 5mC in the TET2-5mC-DNA structure(9), and the pyrimidine base of 5mC/5hmC/5fC adopts an almost identical conformation within the catalytic cavity. However, the hydroxyl group of 5hmC and carbonyl group of 5fC face towards the opposite direction because the hydroxymethyl group of 5hmC and formyl group of 5fC adopt restrained conformations through forming hydrogen bonds with the 1-carboxylate of NOG and N4 exocyclic nitrogen of cytosine, respectively. Biochemical analyses indicate that the substrate preference of TET2 results from the different efficiencies of hydrogen abstraction in TET2-mediated oxidation. The restrained conformation of 5hmC and 5fC within the catalytic cavity may prevent their abstractable hydrogen(s) adopting a favourable orientation for hydrogen abstraction and thus result in low catalytic efficiency. Our studies demonstrate that the substrate preference of TET2 results from the intrinsic value of its substrates at their 5mC derivative groups and suggest that 5hmC is relatively stable and less prone to further oxidation by TET proteins. Therefore, TET proteins are evolutionarily tuned to be less reactive towards 5hmC and facilitate the generation of 5hmC as a potentially stable mark for regulatory functions.

Abnormal epigenetic alterations tightly correlate with human diseases. It is increasingly recognized that epigenetic profiles can be indicators of disease states and epigenetic machinery can be therapeutically targeted. However, discovery of informative epigenetic biomarkers and suitable epigenetic drug targets are daunting tasks, due to the complexity of epigenetic mechanisms. The recent development of high-throughput technologies has led to an explosion of biological data and has enabled mining biomarkers and drug targets in a more systematic way. Bioinformatic and biostatistical approaches are skilled at dealing with large data sets and therefore widely used in mining disease biomarkers and drug targets in this “omic” era. The epigenetic fields are already beginning to benefit from the high-throughput technologies and advanced computational tools. In this chapter, we outline a systematic method of discovery of epigenetic biomarkers and drug targets for human diseases, through adapting bioinformatic and biostatistical approaches.

Mathematical model for radar detecting of the ground-to air missile defense system is established by taking UAV coordinated formation-to-the ground penetration. Based on WSEIAC model, model for the effectiveness of multiple UAVs coordinated formation is founded from such three aspects as target discovery, radar cross-section and target killing. Researches with respect to influences towards penetration effectiveness by scale, density and pattern of the formation under typical penetration conditions have been conducted. Combining with concrete cases and simulation results, validity of the evaluation method for penetration effectiveness of multiple UAVs coordinated formation is verified.

Although some studies have suggested that tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) might be involved in atherosclerosis, its potential role in endothelial dysfunction and apoptosis has not been investigated. The aim of this study was to evaluate the impact of TRAIL on endothelium injury in diabetes and the underlying mechanism involved.Experimental diabetes was induced using streptozotocin in rats. Cohorts of diabetic rats received an intraperitoneal injection of recombinant TRAIL (rTRAIL) 20 μg per rat weekly for 6 weeks. Endothelial function was assessed by acetylcholine (Ach)-induced endothelium-dependent vasorelaxation using aortic rings. The antiapoptotic effects of TRAIL and its possible mechanisms were investigated in cultured human umbilical vein endothelial cells (HUVECs).Experimental diabetes attenuated endothelial function, which was significantly improved by rTRAIL treatment (63.5 ± 4.62% vs. 78.4 ± 2.79%, P0.01). In cultured HUVECs, TRAIL suppressed high glucose-induced reactive oxygen species (ROS) production and cellular apoptosis, as well as the production of NADPH oxidase. Furthermore, the antiapoptotic actions of TRAIL were accompanied by Akt and endothelial nitric oxide synthase (eNOS) phosphorylation, as well as increased NO production.These findings indicate a novel role of TRAIL in the protection against vascular injury in diabetes. The protective effects of TRAIL are dependent on the activation of Akt-dependent eNOS signaling.

FTY720 (fingolimod), an FDA-approved drug for treatment of multiple sclerosis, has beneficial effects in the CNS that are not yet well understood, independent of its effects on immune cell trafficking. We show that FTY720 enters the nucleus, where it is phosphorylated by sphingosine kinase 2 (SphK2), and that nuclear FTY720-P binds and inhibits class I histone deacetylases (HDACs), enhancing specific histone acetylations. FTY720 is also phosphorylated in mice and accumulates in the brain, including the hippocampus, inhibits HDACs and enhances histone acetylation and gene expression programs associated with memory and learning, and rescues memory deficits independently of its immunosuppressive actions. Sphk2(-/-) mice have lower levels of hippocampal sphingosine-1-phosphate, an endogenous HDAC inhibitor, and reduced histone acetylation, and display deficits in spatial memory and impaired contextual fear extinction. Thus, sphingosine-1-phosphate and SphK2 play specific roles in memory functions and FTY720 may be a useful adjuvant therapy to facilitate extinction of aversive memories.

The transcriptional coactivator and histone acetyltransferase (HAT) p300 acetylates the four core histones and other transcription factors to regulate a plethora of fundamental biological processes including cell growth, development, oncogenesis and apoptosis. Recent structural and biochemical studies on the p300 HAT domain revealed a Theorell-Chance, or "hit-and-run", catalytic mechanism. Nonetheless, the chemical mechanism of the entire reaction process including the proton transfer (PT) scheme and consequent acetylation reaction route remains unclear. In this study, a combined computational strategy consisting of molecular modeling, molecular dynamic (MD) simulation, and quantum mechanics/molecular mechanics (QM/MM) simulation was applied to elucidate these important issues. An initial p300/H3/Ac-CoA complex structure was modeled and optimized using a 100 ns MD simulation. Residues that play important roles in substrate binding and the acetylation reaction were comprehensively investigated. For the first time, these studies reveal a plausible PT scheme consisting of Y1394, D1507, and a conserved crystallographic water molecule, with all components of the scheme being stable during the MD simulation and the energy barrier low for PT to occur. The two-dimensional potential energy surface for the nucleophilic attack process was also calculated. The comparison of potential energies for two possible elimination half-reaction mechanisms revealed that Y1467 reprotonates the coenzyme-A leaving group to form product. This study provides new insights into the detailed catalytic mechanism of p300 and has important implications for the discovery of novel small molecule regulators for p300.

The ATP-dependent Clp protease (ClpP) plays an essential role not only in the control of protein quality but also in the regulation of bacterial pathogen virulence, making it an attractive target for antibacterial treatment. We have previously determined the crystal structures of Staphylococcus aureus ClpP (SaClpP) in two different states, extended and compressed. To investigate the dynamic switching of ClpP between these states, we performed a series of molecular dynamics simulations. During the structural transition, the long and straight helix E in the extended SaClpP monomer underwent an unfolding/refolding process, resulting in a kinked helix very similar to that in the compressed monomer. As a stable intermediate in the molecular dynamics simulation, the compact state was suggested and subsequently identified in x-ray crystallographic experiment. Our combined studies also determined that Ala(140) acted as a "hinge" during the transition between the extended and compressed states, and Glu(137) was essential for stabilizing the compressed state. Overall, this study provides molecular insights into the dynamics and mechanism of the functional conformation changes of SaClpP. Given the highly conserved sequences of ClpP proteins among different species, these findings potentially reflect a switching mechanism for the dynamic process shared in the whole ClpP family in general and thus aid in better understand the principles of Clp protease assembly and function.

New Delhi metallo-β-lactmase-1 (NDM-1) is an enzyme that confers antibiotic resistance to bacteria and is thus a serious threat to human health. Almost all clinically available β-lactam antibiotics can be hydrolyzed by NDM-1. To determine the mechanism behind the wide substrate diversity and strong catalytic ability of NDM-1, we explored the molecular interactions between NDM-1 and different β-lactam antibiotics using computational methods. Molecular dynamics simulations and binding free energy calculations were performed on enzyme-substrate (ES) complex models of NDM-1-Meropenem, NDM-1-Nitrocefin, and NDM-1-Ampicillin constructed by molecular docking. Our computational results suggest that mutant residues Ile35 and Lys216, and active site loop L1 residues 65–73 in NDM-1 play crucial roles in substrate recognition and binding. The results of our study provide new insights into the mechanism behind the enhanced substrate binding and wider substrate spectrum of NDM-1 compared with its homologous enzymes CcrA and IMP-1. These insights may be useful in the discovery and design of specific and potent inhibitors against NDM-1.

Computational drug discovery is an effective strategy for accelerating and economizing drug discovery and development process. Because of the dramatic increase in the availability of biological macromolecule and small molecule information, the applicability of computational drug discovery has been extended and broadly applied to nearly every stage in the drug discovery and development workflow, including target identification and validation, lead discovery and optimization and preclinical tests. Over the past decades, computational drug discovery methods such as molecular docking, pharmacophore modeling and mapping, de novo design, molecular similarity calculation and sequence-based virtual screening have been greatly improved. In this review, we present an overview of these important computational methods, platforms and successful applications in this field.

Recent breakthroughs in generating induced pluripotent stem cells (iPSCs) using four defined factors have revealed the potential utility of stem cells in biological research and clinical applications. However, the low efficiency and slow kinetics of reprogramming related to producing these cells and underlying safety issues, such as viral integration and genetic and epigenetic abnormalities of iPSCs, hamper the further application of iPSCs in laboratory and clinical settings. Previous studies have suggested that reprogramming efficiency can be enhanced and that reprogramming kinetics can be accelerated by manipulating epigenetic status. Herein, we review recent studies on the application of epigenome-modifying small molecules in enhancing reprogramming and functionally replacing some reprogramming factors. We mainly focus on studies that have used small molecules to interfere with epigenome-modifying enzymes, such as DNA methyltransferase, histone acetyltransferase, and histone methyltransferase. The potential use of these small molecules in inducing iPSCs and new ways to identify small molecules of higher potency and fewer side effects are also discussed.

Human thymine DNA glycosylase (hTDG) efficiently excises 5-carboxylcytosine (5caC), a key oxidation product of 5-methylcytosine in genomic DNA, in a recently discovered cytosine demethylation pathway. We present here the crystal structures of the hTDG catalytic domain in complex with duplex DNA containing either 5caC or a fluorinated analog. These structures, together with biochemical and computational analyses, reveal that 5caC is specifically recognized in the active site of hTDG, supporting the role of TDG in mammalian 5-methylcytosine demethylation.

The histone acetylation of post-translational modification can be highly dynamic and play a crucial role in regulating cellular proliferation, survival, differentiation and motility. Of the enzymes that mediate post-translation modifications, the GCN5 of the histone acetyltransferase (HAT) proteins family that add acetyl groups to target lysine residues within histones, has been most extensively studied. According to the mechanism studies of GCN5 related proteins, two key processes, deprotonation and acetylation, must be involved. However, as a fundamental issue, the structure of hGCN5/AcCoA/pH3 remains elusive. Although biological experiments have proved that GCN5 mediates the acetylation process through the sequential mechanism pathway, a dynamic view of the catalytic process and the molecular basis for hGCN5/AcCoA/pH3 are still not available and none of theoretical studies has been reported to other related enzymes in HAT family. To explore the molecular basis for the catalytic mechanism, computational approaches including molecular modeling, molecular dynamic (MD) simulation and quantum mechanics/molecular mechanics (QM/MM) simulation were carried out. The initial hGCN5/AcCoA/pH3 complex structure was modeled and a reasonable snapshot was extracted from the trajectory of a 20 ns MD simulation, with considering post-MD analysis and reported experimental results. Those residues playing crucial roles in binding affinity and acetylation reaction were comprehensively investigated. It demonstrated Glu80 acted as the general base for deprotonation of Lys171 from H3. Furthermore, the two-dimensional QM/MM potential energy surface was employed to study the sequential pathway acetylation mechanism. Energy barriers of addition-elimination reaction in acetylation obtained from QM/MM calculation indicated the point of the intermediate ternary complex. Our study may provide insights into the detailed mechanism for acetylation reaction of GCN5, and has important implications for the discovery of regulators against GCN5 enzymes and related HAT family enzymes.

Eukaryotic translation initiation factor eIF4AI, the founding member of DEAD-box helicases, undergoes ATP hydrolysis-coupled conformational changes to unwind mRNA secondary structures during translation initiation. However, the mechanism of its coupled enzymatic activities remains unclear. Here we report that a gating mechanism for Pi release controlled by the inter-domain linker of eIF4AI regulates the coupling between ATP hydrolysis and RNA unwinding. Molecular dynamic simulations and experimental results revealed that, through forming a hydrophobic core with the conserved SAT motif of the N-terminal domain and I357 from the C-terminal domain, the linker gated the release of Pi from the hydrolysis site, which avoided futile hydrolysis cycles of eIF4AI. Further mutagenesis studies suggested this linker also plays an auto-inhibitory role in the enzymatic activity of eIF4AI, which may be essential for its function during translation initiation. Overall, our results reveal a novel regulatory mechanism that controls eIF4AI-mediated mRNA unwinding and can guide further mechanistic studies on other DEAD-box helicases.

Protein arginine methyltransferase 1 (PRMT1), the major arginine asymmetric dimethylation enzyme in mammals, is emerging as a potential drug target for cancer and cardiovascular disease. Understanding the catalytic mechanism of PRMT1 will facilitate inhibitor design. However, detailed mechanisms of the methyl transfer process and substrate deprotonation of PRMT1 remain unclear. In this study, we present a theoretical study on PRMT1 catalyzed arginine dimethylation by employing molecular dynamics (MD) simulation and quantum mechanics/molecular mechanics (QM/MM) calculation. Ternary complex models, composed of PRMT1, peptide substrate, and S-adenosyl-methionine (AdoMet) as cofactor, were constructed and verified by 30-ns MD simulation. The snapshots selected from the MD trajectory were applied for the QM/MM calculation. The typical SN2-favored transition states of the first and second methyl transfers were identified from the potential energy profile. Deprotonation of substrate arginine occurs immediately after methyl transfer, and the carboxylate group of E144 acts as proton acceptor. Furthermore, natural bond orbital analysis and electrostatic potential calculation showed that E144 facilitates the charge redistribution during the reaction and reduces the energy barrier. In this study, we propose the detailed mechanism of PRMT1-catalyzed asymmetric dimethylation, which increases insight on the small-molecule effectors design, and enables further investigations into the physiological function of this family.

Oncogenic mutations in critical nodes of cellular signaling pathways have been associated with tumorigenesis and progression. The B-Raf protein kinase, a key hub in the canonical MAPK signaling cascade, is mutated in a broad range of human cancers and especially in malignant melanoma. The most prevalent B-Raf(V600E) mutant exhibits elevated kinase activity and results in constitutive activation of the MAPK pathway, thus making it a promising drug target for cancer therapy. Herein, we describe the development of novel B-Raf(V600E) selective inhibitors via multi-step virtual screening and hierarchical hit optimization. Nine hit compounds with low micromolar IC(50) values were identified as B-Raf(V600E) inhibitors through virtual screening. Subsequent scaffold-based analogue searching and medicinal chemistry efforts significantly improved both the inhibitor potency and oncogene selectivity. In particular, compounds 22f and 22q possess nanomolar IC(50) values with selectivity for B-Raf(V600E)in vitro and exclusive cytotoxicity against B-Raf(V600E) harboring cancer cells.

// Chenchu Lin 1,2,* , Hanlin Zeng 1,* , Junyan Lu 3 , Zuoquan Xie 1 , Wenyi Sun 1 , Cheng Luo 3 , Jian Ding 1 , Shengtao Yuan 2 , Meiyu Geng 1 and Min Huang 1 1 Division of Anti-Tumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China 2 National Nanjing New Drug Screening Center, China Pharmaceutical University, Nanjing, China 3 Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China * These authors have contributed equally to this work Correspondence to: Min Huang, email: // Meiyu Geng, email: // Keywords : acetylation, camptothecin, SIRT1, superoxide dismutase, oxidative stress Received : March 03, 2015 Accepted : April 10, 2015 Published : May 04, 2015 Abstract Cancer cells are characterized by a high dependency on antioxidant enzymes to cope with the elevated rates of reactive oxygen species (ROS). Impairing antioxidant capacity in cancer cells disturbs the ROS homeostasis and exposes cancer cells to massive oxidative stress. In this study, we have discovered that superoxide dismutase 1 (SOD1), a major player in maintaining the cellular redox status, was acetylated at lysine 71. This acetylation, which was primarily deacetylated by Sirtuin 1 (SIRT1), suppressed the enzymatic activity of SOD1 via disrupting its association with copper chaperone for SOD1 (CCS). More importantly, genotoxic agents, such as camptothecin (CPT), induced SOD1 acetylation by disrupting its binding with SIRT1. CPT-induced SOD1 acetylation was stimulated by its provoked ROS, suggesting a positive feedback loop, in which ROS per se impairs the antioxidative defence of cancer cells and reinforces oxidative stress stimulated by anticancer agents. The intrinsic abundance of SOD1 acetylation varied among cancer cells, and high level of SOD1 acetylation was correlated with elevated sensitivity to CPT. Together, our findings gained mechanistic insights into how cytotoxic agents fine tune the intracellular ROS homeostasis to strengthen their anticancer effects, and suggested SOD1 acetylation as a candidate biomarker for predicting response to CPT-based chemotherapy.