Magnetized black holes and black rings in the higher dimensional dilaton gravity

In this paper we consider magnetized black holes and black rings in the higher dimensional dilaton gravity. Our study is based on exact solutions generated by applying a Harrison transformation to known asymptotically flat black hole and black ring solutions in higher dimensional spacetimes. The explicit solutions include the magnetized version of the higher dimensional Schwarzschild-Tangherlini black holes, Myers-Perry black holes and five dimensional (dipole) black rings. The basic physical quantities of the magnetized objects are calculated. We also discuss some properties of the solutions and their thermodynamics. The ultrarelativistic limits of the magnetized solutions are briefly discussed and an explicit example is given for the $D$-dimensional magnetized Schwarzschild-Tangherlini black holes.Comment: LaTeX, 23 pages; v2 references and comments added, some typos corrected;v3 minor change

Generalized AdS/CFT Dualities and Space-Time Symmetries of M/Superstring Theory

I review the relationship between AdS/CFT (anti-de Sitter / conformal field theory) dualities and the general theory of unitary lowest weight (ULWR) (positive energy) representations of non-compact space-time groups and supergroups. The ULWR's have the remarkable property that they can be constructed by tensoring some fundamental ULWR's (singletons or doubletons). Furthermore, one can go from the manifestly unitary compact basis of the ULWR's of the conformal group (Wigner picture) to the manifestly covariant coherent state basis (Dirac picture) labelled by the space-time coordinates. Hence every irreducible ULWR corresponds to a covariant field with a definite conformal dimension. These results extend to higher dimensional generalized spacetimes (superspaces) defined by Jordan (super) algebras and Jordan (super) triple systems. In particular, they extend to the ULWR's of the M-theory symmetry superalgebra OSp(1/32,R).Comment: Latex file, 11 pages; invited talk to appear in the Proceedings of the IXth Marcel Grossmann Meeting (Rome, July 2000

Analysis of adenovirus VA RNAI structure and stability using compensatory base pair modifications

Adenovirus VA RNAs are short non-coding transcripts that assist in maintaining viral protein expression in infected cells. Six sets of mismatch and compensatory base pair mutants of VA RNAI were examined by gel mobility and RNA UV melting to assess the contribution of each structural domain to its overall structure and stability. Each domain of VA RNAI was first assigned to one of two apparent unfolding transitions in the wild-type melting profile. The Terminal Stem and Central Domain unfold in a single cooperative apparent transition with an apparent Tm of ∼60°C. In contrast, the Apical Stem unfolds independently and with much higher apparent Tm of ∼83°C. Remarkably, this domain appears to behave as an almost entirely autonomous unit within the RNA, mirroring the functional division within the RNA between PKR binding and inhibition. The effects of mismatch and compensatory mutations at five of the six sites on the RNA melting profile are consistent with proposed base pairing and provide further validation of the current secondary structure model. Mutations in the Central Domain were tested in PKR inhibition assays and a component of the VA RNAI Central Domain structure essential for PKR inhibitory activity was identified

Structural insights into the function of aminoglycoside-resistance A1408 16S rRNA methyltransferases from antibiotic-producing and human pathogenic bacteria

X-ray crystal structures were determined of the broad-spectrum aminoglycoside-resistance A1408 16S rRNA methyltransferases KamB and NpmA, from the aminoglycoside-producer Streptoalloteichus tenebrarius and human pathogenic Escherichia coli, respectively. Consistent with their common function, both are Class I methyltransferases with additional highly conserved structural motifs that embellish the core SAM-binding fold. In overall structure, the A1408 rRNA methyltransferase were found to be most similar to a second family of Class I methyltransferases of distinct substrate specificity (m7G46 tRNA). Critical residues for A1408 rRNA methyltransferase activity were experimentally defined using protein mutagenesis and bacterial growth assays with kanamycin. Essential residues for SAM coenzyme binding and an extended protein surface that likely interacts with the 30S ribosomal subunit were thus revealed. The structures also suggest potential mechanisms of A1408 target nucleotide selection and positioning. We propose that a dynamic extended loop structure that is positioned adjacent to both the bound SAM and a functionally critical structural motif may mediate concerted conformational changes in rRNA and protein that underpin the specificity of target selection and activation of methyltransferase activity. These new structures provide important new insights that may provide a starting point for strategies to inhibit these emerging causes of pathogenic bacterial resistance to aminoglycosides

The PKR-binding domain of adenovirus VA RNAI exists as a mixture of two functionally non-equivalent structures

VA RNAI is a non-coding adenoviral transcript that counteracts the host cell anti-viral defenses such as immune responses mediated via PKR. We investigated potential alternate secondary structure conformations within the PKR-binding domain of VA RNAI using site-directed mutagenesis, RNA UV-melting analysis and enzymatic RNA secondary structure probing. The latter data clearly indicated that the wild-type VA RNAI apical stem can adopt two different conformations and that it exists as a mixed population of these two structures. In contrast, in two sequence variants we designed to eliminate one of the possible structures, while leaving the other intact, each formed a unique secondary structure. This clarification of the apical stem pairing also suggests a small alteration to the apical stem–loop secondary structure. The relative ability of the two apical stem conformations to bind PKR and inhibit kinase activity was measured by isothermal titration calorimetry and PKR autophosphorylation inhibition assay. We found that the two sequence variants displayed markedly different activities, with one being a significantly poorer binder and inhibitor of PKR. Whether the presence of the VA RNAI conformation with reduced PKR inhibitory activity is directly beneficial to the virus in the cell for some other function requires further investigation

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Applications of fluorescence and bioluminescence resonance energy transfer to drug discovery at G protein coupled receptors

The role of G protein coupled receptors (GPCRs) in numerous physiological processes that may be disrupted or modified in disease makes them key targets for the development of new therapeutic medicines. A wide variety of resonance energy transfer (RET) techniques such as fluorescence RET and bioluminescence RET have been developed in recent years to detect protein–protein interactions in living cells. Furthermore, these techniques are now being exploited to screen for novel compounds that activate or block GPCRs and to search for new, previously undiscovered signaling pathways activated by well-known pharmacologically classified drugs. The high resolution that can be achieved with these RET methods means that they are well suited to study both intramolecular conformational changes in response to ligand binding at the receptor level and intermolecular interactions involving protein translocation in subcellular compartments resulting from external stimuli. In this review we highlight the latest advances in these technologies to illustrate general principles