Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0019693 (HIV)
 170,526 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Influenza, one of the oldest and most common infections, poses a serious health problem causing significant morbidity and mortality, and imposing substantial economic costs. The efficacy of current drugs is limited and improved therapies are needed. A unique nutrient mixture (NM), containing ascorbic acid, green tea extract, lysine, proline, N-acetyl cysteine, selenium among other micronutrients, has been shown to exert anti-carcinogenic and anti-atherogenic activity both in vitro and in vivo. Many of the constituents of NM have been shown to have an inhibitory effect on replication of influenza virus and HIV. This prompted us to study the effect of NM on influenza A virus multiplication in infected cells and neuraminidase activity (NA) in virus particles. Addition of NM to Vero or MDCK cells post infection resulted in dose-dependent inhibition of viral nucleoprotein (NP) production in infected cells. NM-mediated inhibition of viral NP was selective and not due to cytotoxicity towards host cells. This antiviral effect was enhanced by pretreatment of virus with the nutrient mixture. Individual components of NM, namely ascorbic acid and green tea extract, also blocked viral NP production, conferring enhanced inhibition when tested in combination. Incubation of cell-free virus with NM resulted in dose-dependent inhibition of associated NA enzyme activity. In conclusion, the nutrient mixture exerts an antiviral effect against influenza A virus by lowering viral protein production in infected cells and diminishing viral enzymatic activity in cell-free particles.
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PMID:Suppression of influenza A virus nuclear antigen production and neuraminidase activity by a nutrient mixture containing ascorbic acid, green tea extract and amino acids. 1880 4

In this study, we propose a drug design approach which includes docking, molecular fingerprints based cluster analysis, and 'induced' descriptors based receptor-dependent 3D-QSAR. The method was shown to be very useful for screening and modeling structurally diverse data sets of pharmacological interest. Different from other receptor-dependent 3D-QSAR, no ambiguous alignments are required for the construction of the models, and the computational cost is relatively lower. Moreover, 'induced' descriptors were shown to be very powerful in "capturing" ligand-receptor intermolecular interactions. The methodology was validated for eight data sets sampled from the literature and from public databases: human sex hormone-binding globulin, human corticosteroid-binding globulin, anthrax lethal factor, HIV-1 reverse transcriptase, neuraminidase A, thrombin, trypsin, and Pneumocystis carinii dihydrofolate reductase data sets. The resulting models were interpretable; the constructed QSAR equations have high statistical significance and predictive strength; and the drug design solutions were shown to be useful for guiding ligand modification for the development of new inhibitors for a broad range of molecular targets.
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PMID:Using molecular docking, 3D-QSAR, and cluster analysis for screening structurally diverse data sets of pharmacological interest. 1881 24

Serum Gc protein (known as vitamin D3-binding protein) is the precursor for the principal macrophage activating factor (MAF). The MAF precursor activity of serum Gc protein of HIV-infected patients was lost or reduced because Gc protein is deglycosylated by alpha-N-acetylgalactosaminidase (Nagalase) secreted from HIV-infected cells. Therefore, macrophages of HIV-infected patients having deglycosylated Gc protein cannot be activated, leading to immunosuppression. Since Nagalase is the intrinsic component of the envelope protein gp120, serum Nagalase activity is the sum of enzyme activities carried by both HIV virions and envelope proteins. These Nagalase carriers were already complexed with anti-HIV immunoglobulin G (IgG) but retained Nagalase activity that is required for infectivity. Stepwise treatment of purified Gc protein with immobilized beta-galactosidase and sialidase generated the most potent macrophage activating factor (termed GcMAF), which produces no side effects in humans. Macrophages activated by administration of 100 ng GcMAF develop a large amount of Fc-receptors as well as an enormous variation of receptors that recognize IgG-bound and unbound HIV virions. Since latently HIV-infected cells are unstable and constantly release HIV virions, the activated macrophages rapidly intercept the released HIV virions to prevent reinfection resulting in exhaustion of infected cells. After less than 18 weekly administrations of 100 ng GcMAF for nonanemic patients, they exhibited low serum Nagalase activities equivalent to healthy controls, indicating eradication of HIV-infection, which was also confirmed by no infectious center formation by provirus inducing agent-treated patient PBMCs. No recurrence occurred and their healthy CD + cell counts were maintained for 7 years.
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PMID:Immunotherapy of HIV-infected patients with Gc protein-derived macrophage activating factor (GcMAF). 2532 30

Progress in the discovery of new antiviral medicines is tempered by the rapidity with which drug-resistant variants emerge. A review of the resistance-suppressing properties of four classes of antivirals is presented: influenza virus neuraminidase inhibitors, HIV protease inhibitors, antibodies, and protein-based fusion inhibitors. The analysis supports the hypothesis that the more similar the drug is to the target's natural ligands, the higher the barrier to resistance. However, other factors, such as entropy compensation and solvent anchoring, might also be exploited for improved drug design.
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PMID:New antivirals and drug resistance. 1925 7

A public web server performing computational titration at the active site in a protein-ligand complex has been implemented. This calculation is based on the Hydropathic interaction noncovalent force field. From 3D coordinate data for the protein, ligand and bridging waters (if available), the server predicts the best combination of protonation states for each ionizable residue and/or ligand functional group as well as the Gibbs free energy of binding for the ionization-optimized protein-ligand complex. The 3D structure for the modified molecules is available as output. In addition, a graph depicting how this energy changes with acidity, i.e., as a function of added protons, can be obtained. This data may prove to be of use in preparing models for virtual screening and molecular docking. A few illustrative examples are presented. In beta secretase (2va7) computational titration flipped the amide groups of Gln12 and Asn37 and protonated a ligand amine yielding an improvement of 6.37 kcal mol(-1) in the protein-ligand binding score. Protonation of Glu139 in mutant HIV-1 reverse transcriptase (2opq) allows a water bridge between the protein and inhibitor that increases the protein-ligand interaction score by 0.16 kcal mol(-1). In human sialidase NEU2 complexed with an isobutyl ether mimetic inhibitor (2f11) computational titration suggested that protonating Glu218, deprotonating Arg237, flipping the amide bond on Tyr334, and optimizing the positions of several other polar protons would increase the protein-ligand interaction score by 0.71 kcal mol(-1).
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PMID:Web application for studying the free energy of binding and protonation states of protein-ligand complexes based on HINT. 1955 65

We have generated a recombinant influenza A virus with the HIV-1 p17(Gag) (rFlu-p17) gene inserted into the influenza virus neuraminidase (NA) gene. Expression of HIV-1 p17 protein was detected by conventional Western blot analysis and also by liquid chromatography/tandem mass spectrometry (LC-MS/MS) analysis of rFlu-p17 infected cells. The latter method does not depend on protein-specific antibody preparations and proved to be a powerful tool to detect proteins of interest. Next, antigen presentation of p17 expressed after infection of antigen-presenting cells was determined. Cloned p17-specific CD8+ T-cells were co-cultured with rFlu-p17 infected B-cells and produced IFN-gamma upon stimulation. Furthermore, we showed that immunization with rFlu-p17 elicited a humoral immune response in mice. This study shows that replication-deficient rFlu-p17 is antigenic in vitro and immunogenic in vivo and warrants further development as a candidate vaccine vector.
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PMID:Characterization of recombinant influenza A virus as a vector for HIV-1 p17Gag. 1964 12

With the ongoing progress in protein crystallography and NMR, structure-based drug design is adopting increasing importance in the search for new drugs. Modeling starts from the 3D structure of a target protein in order to construct molecules which are complementary to a binding site, in their geometry as well as in the pattern of their physicochemical properties around the molecules. The rational design process is accompanied by 3D structure determinations of different ligand-protein complexes. Most often, significantly improved binding affinities of the ligands are observed after several cycles of 3D structure determinations, the design of compounds with appropriate structural modifications, synthesis, and testing of the new drug candidates. As an alternative, pharmacophore models are derived from the 3D structures of active analogs. A risk with lead structure optimization by structure-based design is the neglect of other important biological properties, such as bioavailability and metabolic stability. Recent applications of structure-based design, as well as success stories in the search for new, potent and selective HIV protease inhibitors, thrombin inhibitors, neuraminidase inhibitors and integrin receptor antagonists, are reviewed.
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PMID:Structure-based design of enzyme inhibitors and receptor ligands. 1964 84

Understanding CD8+ T cell responses generated by live virus vectors is critical for the rational design of next generation HIV CTL-based vaccines. We used recombinant influenza viruses expressing the HIV Env(311-320) peptide in the neuraminidase stalk to study response magnitude, cytokine production and repertoire diversity for the elicited CD8+ D(d)Env(311) CTL set. The insertion of the CD8+ D(d)Env(311) epitope into the NA stalk resulted in a decrease in viral fitness that was reflected in lower lung viral titres. While not affecting the magnitude of endogenous primary influenza-specific responses, the introduction of the D(d)Env(311) CD8+ T cell epitope altered the hierarchy of responses following secondary challenge. The CD8+ K(d)NP(147) response increased 9-fold in the spleen following secondary infection whereas the CD8+ D(d)Env(311) response increased 15-fold in the spleen. Moreover, this study is the first to describe narrowing of CD8+ TCR repertoire diversity in the context of an evolving secondary immune response against influenza A virus. Analysis of Vbeta bias for CD8+ D(d)Env(311) T cell responses showed a narrowing of CD8+ Vbeta8.1/8.2 D(d)Env(311) TCR repertoire diversity. This work further emphasizes the importance of understanding vaccine-induced CD8+ T cell responses.
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PMID:Narrowed TCR diversity for immunised mice challenged with recombinant influenza A-HIV Env(311-320) virus. 1974 84

We describe a Multiplex Primer Prediction (MPP) algorithm to build multiplex compatible primer sets to amplify all members of large, diverse and unalignable sets of target sequences. The MPP algorithm is scalable to larger target sets than other available software, and it does not require a multiple sequence alignment. We applied it to questions in viral detection, and demonstrated that there are no universally conserved priming sequences among viruses and that it could require an unfeasibly large number of primers ( approximately 3700 18-mers or approximately 2000 10-mers) to generate amplicons from all sequenced viruses. We then designed primer sets separately for each viral family, and for several diverse species such as foot-and-mouth disease virus (FMDV), hemagglutinin (HA) and neuraminidase (NA) segments of influenza A virus, Norwalk virus, and HIV-1. We empirically demonstrated the application of the software with a multiplex set of 16 short (10 nt) primers designed to amplify the Poxviridae family to produce a specific amplicon from vaccinia virus.
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PMID:Multiplex primer prediction software for divergent targets. 1975 13

The composition of the lower genital tract microbiota in women is believed to affect the risk of sexually acquiring HIV. Since macaque genital microbiota could similarly impact vaginal infection with SIV we identified microbiota in 11 rhesus macaques using multitag pyrosequencing of the 16S rRNA gene. The microbiota was polymicrobial with a median of nine distinct bacterial taxa per macaque (range 3-16 taxa, each constituting 1% or more of the sequences). Taxa frequently found included Peptoniphilus, Sneathia, Porphyromonas, Mobiluncus, Atopobacter, Dialister, Thioreductor, Prevotella, and Streptococcus, many of which are also frequently found in women with bacterial vaginosis. Lactobacillus sequences (mostly L. johnsonii) were found in only four macaques but were not predominant in any (median of 0% of sequences, range 0-39%). All macaques were resampled 6 months after the first time point to determine the stability of the microbiota. The microbiota remained polymicrobial with a median of 10 taxa (range 6-18). Microbial patterns remained similar for six of the macaques, changed substantially in two, and had a mixed pattern in three. Significant sialidase enzyme activity, a marker of bacteria vaginosis in women, was detected in genital fluid from 9/11 and 8/11 macaques from the first and second time points, respectively. These results show that the macaque lower genital microbiota resembled a bacteria vaginosis-type microbiota in women and suggest that the microbiota of macaques in captivity promote rather than protect against vaginal infection with SIV. These results also suggest macaques could be used as an animal model to study some aspects of bacterial vaginosis.
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PMID:Identification of rhesus macaque genital microbiota by 16S pyrosequencing shows similarities to human bacterial vaginosis: implications for use as an animal model for HIV vaginal infection. 2015 1


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