Discovery of potential Zika virus RNA polymerase inhibitors by docking-based virtual screening

Zika virus (ZIKV) infection has been associated with Guillain-Barre syndrome in adults and microcephaly in infants. The existence of insufficient structural data in most of the protein databases hinders the synthesis of anti-ZIKV pharmaceutics. In this work, we attempted to model the catalytic domain of the ZIKV RNA polymerase (RdRpC) along with a detailed assessment of conserved aspartates in ZIKV RdRpC palm domain as potential drug targets. The conserved and catalytically active aspartate residues present in the predicted RdRpC protein were virtually screened against a ZINC database for inhibitors, and the selected potential drug candidates were further filtered based on their ADMET profiles. One of the pharmacokinetically active compounds (Ligand 6) showed a remarkable docking profile against the strictly conserved aspartate residues of the RdRpC active site. We hypothesize that the Ligand 6 may form a potential drug candidate for RdRpC inhibition in the clinical treatment of ZIKV infection.     

Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural compounds: Molecular dynamics simulation and MM-GBSA calculation

The resistances of matrix protein 2 (M2) protein inhibitors and neuraminidase inhibitors for influenza virus have attracted much attention and there is an urgent need for new drug. The antiviral drugs that selectively act on RNA polymerase are less prone to resistance and possess fewer side effects on the patient. Therefore, there is increased interest in screening compounds that can inhibit influenza virus RNA polymerase. Three natural compounds were found by using molecular docking-based virtual screening, which could bind tightly within the polymerase acidic protein-polymerase basic protein 1 (PA-PB1) subunit of influenza virus polymerase. Firstly, their drug likeness properties were evaluated, which showed that the hepatotoxicity values of all the three compounds indicating they had less or no hepatotoxicity, and did not have the plasma protein biding (PPB) ability, the three compounds needed to be modified in some aspects, like bulky molecular size. The stability of the complexes of PA-hits was validated through molecular dynamics (MD) simulation, revealing compound 2 could form more stable complex with PA subunit. The torsional conformations of each rotatable bond of the ligands in PA subunit were also monitored, to investigate variation in the ligand properties during the simulation, compound 3 had fewer rotatable bonds, indicating that the molecule had stronger rigidity. The bar charts of protein–ligand contacts and contacts over the course of trajectory showed that four key residues (Glu623, Lys643, Asn703 and Trp706) of PA subunit that participated in hydrogen-bond, water bridge and hydrophobic interactions with the hit compounds. Finally, the binding free energy and contributed energies were calculated by using MM-GBSA method. Out of the three compounds, compound 1 showed the lowest total binding free energy. Among all the interactions, the contribution of the covalent binding and the van der Waals energy were more than other items, compound 1 formed more stable hydrogen bonds with the residues of PA subunit binding pocket. This study smoothed the path for the development of novel lead compounds with improved binding properties, high drug likeness, and low toxicity to humans for the treatment of influenza, which provided a good basis for further research on novel and effective influenza virus PA-PB1 interaction inhibitors.     

Hot-spot guided design of macrocyclic inhibitors of the LSD1-CoREST1 interaction

New modalities such as cyclic peptides are attractive structures to inhibit challenging targets. The interaction between LSD1 and CoREST1 is required for histone demethylation and represents an attractive therapeutic target. The large interaction surface between these two proteins was analyzed by virtual alanine scanning using DrugScore PPI and a cluster of hot-spot residues was identified on CoREST1. The cluster was converted into a series of cyclic peptides and the inhibitory potency was optimized by stereochemical inversion at one of the amino acids alpha carbons combined with modification of amino acid side chains. Active peptides were further studied by variable temperature ¹H NMR and docking to evaluate the effect of conformation on binding. Potent inhibitors of the challenging PPI were obtained and will allow future optimization into more druglike structures.     

Helical cyclic pentapeptides constrain HIV-1 Rev peptide for enhanced RNA binding

HIV-1 Rev is a 116 residue transporter protein that enters the host cell nucleus and uses its 17 amino acid segment (Rev_34–50) to bind and capture a specific piece of RNA, the Rev Response Element (RRE), for transport to the cytoplasm. This is critical for HIV replication. In isolation, Rev_34–50 shows negligible structure in water, but is alpha helical in a mixture of water and 2,2,2-trifluoroethanol (TFE) or when bound to RRE. Here we report that helix-constrained cyclic pentapeptides, either appended to the N-terminus or incorporated within Rev_34–50, are efficient helix nucleators in water. They induce up to 90% alpha helicity for isolated Rev peptides in water and confer high RNA-binding affinity.     

In silico characterization of the interaction between LSKL peptide,a LAP-TGF-beta derived peptide,and ADAMTS1

Metalloproteases involved in extracellular matrix remodeling play a pivotal role in cell response by regulating the bioavailability of cytokines and growth factors. Recently, the disintegrin and metalloprotease, ADAMTS1 has been demonstrated to be able to activate the transforming growth factor TGF-β, a major factor in fibrosis and cancer. The KTFR sequence from ADAMTS1 is responsible for the interaction with the LSKL peptide from the latent form of TGF-β, leading to its activation. While the atomic details of the interaction site can be the basis of the rational design of efficient inhibitory molecules, the binding mode of interaction is totally unknown.In this study, we show that recombinant fragments of human ADAMTS1 containing KTFR sequence keep the ability to bind the latent form of TGF-β. The recombinant fragment with the best affinity is modeled to investigate the binding mode of LSKL peptide with ADAMTS1 at the atomic level. Using a combined approach with molecular docking and multiple independent molecular dynamics (MD) simulations, we provide the binding mode of LSKL peptide with ADAMTS1. The MD simulations starting with the two lowest energy model predicted by molecular docking shows stable interactions characterized by 3 salt bridges (K₃–NH₃⁺ with E₆₂₆–COO⁻; L₄–COO⁻ with K₆₁₉–NH₃⁺; L₁–NH₃⁺ with E₆₂₄–COO⁻) and 2 hydrogen bonds (S₂–OH with E₆₂₃–COO⁻; L₄–NH with E₆₂₃–COO⁻). The knowledge of this interaction mechanism paves the way to the design of more potent and more specific inhibitors against the inappropriate activation of TGF-β by ADAMTS1 in liver diseases.     

Screening of inhibitors for influenza A virus using high-performance affinity chromatography and combinatorial peptide libraries

The affinity inhibitor of fusion peptide of influenza A virus has been studied using a combination of high-performance affinity chromatography (HPAC) and combinatorial peptide libraries. Fusion peptide (FP) (1-11) of influenza A virus was used as the affinity ligand and immobilized onto the poly(glycidyl methacrylate) (PGMA) beads. Positional scanning peptide libraries based on antisense peptide strategy and extended peptide libraries were designed and synthesized. The screening was carried out at acidic pH (5.5) in order to imitate the environment of virus fusion. A hendecapeptide FHRKKGRGKHK was identified to have a strong affinity to the FP (1-11). The dissociation constant of the complex of the hendecapeptide and the FP (1-11) is 3.10 x 10(-6) mol l(-1) in a physiological buffer condition. The polypeptide has a fairly inhibitory effect on three different strains of influenza A virus H1N1 subtype.     

Molecular docking revealed the binding of nucleotide/side inhibitors to Zika viral polymerase solved structures

A new Zika virus (ZIKV) outbreak started in 2015. According to the World Health Organization, 84 countries confirmed ZIKV infection. RNA-dependent RNA polymerase (RdRp) was an appealing target for drug designers during the last two decades. Through molecular docking, we screened 16 nucleotide/side inhibitors against ZIKV RdRp. While the mode of interaction with ZIKV is different from that in the hepatitis C virus (HCV), nucleotide/side inhibitors in this study (mostly anti-HCV) showed promising binding affinities (?6.2 to ?9.7 kcal/mol calculated by AutoDock Vina) to ZIKV RdRp. Setrobuvir, YAK and, to a lesser extent, IDX-184 reveal promising results compared to other inhibitors in terms of binding ZIKV RdRp. These candidates would be powerful anti-ZIKV drugs.     

Electrochemical sensing of concanavalin A and ovalbumin interaction in solution

In an attempt to develop a label- and reagent-free electrochemical method for the detection of lectin-glycoprotein interactions, we tested lectin-concanavalin A (ConA), glycoprotein-ovalbumin (Ova) and their complex using chronopotentiometric stripping (CPS) analysis and a hanging mercury drop electrode. Incubation of ConA with Ova resulted in an increase of the CPS peak H of the complex as compared to the CPS peaks of individual Ova and ConA proteins. Qualitatively similar results were obtained with other glycoprotein-lectin couples (ConA-RNase B and lectin from Sambucus nigra-fetuin). Using the CPS method, we were able to follow the course of complex formation in solution. Comparable responses of Ova, ConA and ConA-Ova complex were obtained not only at the mercury electrode but also with solid amalgam electrodes, which are more suitable for parallel analysis. It can be anticipated that electrochemical methods, namely CPS, will find application in glycomics and proteomics.     

Identification of cylin-dependent kinase 1 inhibitors of a new chemical type by structure-based design and database searching

We have selected cyclin-dependent kinase 1 (CDK1), an enzyme participating in the regulation of the cell cycle, as a target in our efforts to discover new antitumor agents. By exploiting available structural information, we designed an ATP-site directed ligand scaffold that allowed us to identify 4-(3-methyl-1,4-dioxo-1,4-dihydro-naphthalen-2-ylamino)-benzenesulfonamide as a new potent inhibitor of CDK1 in a subsequent database search. The synthesis and testing of some analogues confirmed the interest of this class of compounds as novel CDK1 inhibitors.     

Identification of new antibacterial targets in RNA polymerase of Mycobacterium tuberculosis by detecting positive selection sites

Bacterial RNA polymerase (RNAP) is an effective target for antibacterial treatment. In order to search new potential targets in RNAP of Mycobacterium, we detected adaptive selections of RNAP related genes in 13 strains of Mycobacterium by phylogenetic analysis. We first collected sequences of 17 genes including rpoA, rpoB, rpoC, rpoZ, and sigma factor A-M. Then maximum likelihood trees were constructed, followed by positive selection detection. We found that sigG shows positive selection along the clade (M. tuberculosis, M. bovis), suggesting its important evolutionary role and its potential to be a new antibacterial target. Moreover, the regions near 933Cys and 935His on the rpoB subunit of M. tuberculosis showed significant positive selection, which could also be a new attractive target for anti-tuberculosis drugs.     

Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR

Binding of the Tat protein to TAR RNA is necessary for viral replication of HIV-1. We screened the Available Chemicals Directory (ACD) to identify ligands to bind to a TAR RNA structure using a four-step docking procedure: rigid docking first, followed by three steps of flexible docking using a pseudobrownian Monte Carlo minimization in torsion angle space with progressively more detailed conformational sampling on a progressively smaller list of top-ranking compounds. To validate the procedure, we successfully docked ligands for five RNA complexes of known structure. For ranking ligands according to binding avidity, an empirical binding free energy function was developed which accounts, in particular, for solvation, isomerization free energy, and changes in conformational entropy. System-specific parameters for the function were derived on a training set of RNA/ligand complexes with known structure and affinity. To validate the free energy function, we screened the entire ACD for ligands for an RNA aptamer which binds l-arginine tightly. The native ligand ranked 17 out of ca. 153,000 compounds screened, i.e., the procedure is able to filter out >99.98% of the database and still retain the native ligand. Screening of the ACD for TAR ligands yielded a high rank for all known TAR ligands contained in the ACD and suggested several other potential TAR ligands. Eight of the highest ranking compounds not previously known to be ligands were assayed for inhibition of the Tat-TAR interaction, and two exhibited a CD₅₀ of ca. 1 M.     

NMR identification of anti-influenza lead compound targeting at PAC subunit of H5N1 polymerase

PA_C subunit from avian influenza(H5N1) viral RNA polymerase was used in this work as a target in the screening for anti-influenza agents from licorice-derived compounds.As a result,18β-glycyrrhetinic acid was suggested to be PA_C ligand by flexible docking,and was then confirmed by relaxation-edited NMR.The result of ApG primer extension assay indicated that this PA_C ligand can inhibit the polymerase activity,and thus may potentially be valuable as anti-influenza lead compound.This work validated the possibility of screening polymerase inhibitors by using PA_C as a target,and provided a starting point for the further discovery of new anti-influenza drugs.     

单管高灵敏度等温扩增技术快速检测甲型H1N1流感病毒

建立了单管逆转录环介导等温扩增法(RT-LAMP)快速检测甲型H1N1流感病毒的方法.针对甲型H1N1流感病毒的M基因和HA基因的保守区,设计了两组特异性引物,分别用于筛选甲型流感病毒及鉴定甲型H1N1流感病毒.对反应体系中的关键因素进行优化,反应结果可直接通过浊度或者SYBR Green Ⅰ荧光进行判定.本方法最低可...