Structural Model of the Rev Regulatory Protein from Equine Infectious Anemia Virus

Rev is an essential regulatory protein in the equine infectious anemia virus (EIAV) and other lentiviruses, including HIV-1. It binds incompletely spliced viral mRNAs and shuttles them from the nucleus to the cytoplasm, a critical prerequisite for the production of viral structural proteins and genomic RNA. Despite its important role in production of infectious virus, the development of antiviral therapies directed against Rev has been hampered by the lack of an experimentally-determined structure of the full length protein. We have used a combined computational and biochemical approach to generate and evaluate a structural model of the Rev protein. The modeled EIAV Rev (ERev) structure includes a total of 6 helices, four of which form an anti-parallel four-helix bundle. The first helix contains the leucine-rich nuclear export signal (NES). An arginine-rich RNA binding motif, RRDRW, is located in a solvent-exposed loop region. An ERLE motif required for Rev activity is predicted to be buried in the core of modeled structure where it plays an essential role in stabilization of the Rev fold. This structural model is supported by existing genetic and functional data as well as by targeted mutagenesis of residues predicted to be essential for overall structural integrity. Our predicted structure should increase understanding of structure-function relationships in Rev and may provide a basis for the design of new therapies for lentiviral diseases

A SARS-CoV-2 protein interaction map reveals targets for drug repurposing

The novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 2.3 million people, killed over 160,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven clinical efficacy, nor are there vaccines for its prevention, and these efforts are hampered by limited knowledge of the molecular details of SARS-CoV-2 infection. To address this, we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), identifying 332 high-confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (29 FDA-approved drugs, 12 drugs in clinical trials, and 28 preclinical compounds). Screening a subset of these in multiple viral assays identified two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the Sigma1 and Sigma2 receptors. Further studies of these host factor targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19

miRNA Mediated Noise Making of 3′UTR Mutations in Cancer

Somatic mutations in 3′-untranslated regions (3′UTR) do not alter amino acids and are considered to be silent in cancers. We found that such mutations can promote tumor progression by altering microRNA (miRNA) targeting efficiency and consequently affecting miRNA⁻mRNA interactions. We identified 67,159 somatic mutations located in the 3′UTRs of messenger RNAs (mRNAs) which can alter miRNA⁻mRNA interactions (functional somatic mutations, funcMutations), and 69.3% of these funcMutations (the degree of energy change > 12 kcal/mol) were identified to significantly promote loss of miRNA-mRNA binding. By integrating mRNA expression profiles of 21 cancer types, we found that the expression of target genes was positively correlated with the loss of absolute affinity level and negatively correlated with the gain of absolute affinity level. Functional enrichment analysis revealed that genes carrying funcMutations were significantly enriched in the MAPK and WNT signaling pathways, and analysis of regulatory modules identified eighteen miRNA modules involved with similar cellular functions. Our findings elucidate a complex relationship between miRNA, mRNA, and mutations, and suggest that 3′UTR mutations may play an important role in tumor development

Antiviral activity of baicalin against influenza virus H1N1 pdm09 is due to modulation of NS1-mediated cellular innate immune responses

Baicalin, a flavonoid, has been shown to have antiviral and anti-inflammatory activities, although the mechanism of action has been unknown. Therefore, attempts were made to analyse the mechanism behind the antiviral effects of baicalin using an influenza A virus (IAV) model in vitro and in vivo.Baicalin’s anti-influenza activity was elucidated (in vitro and in vivo) utilizing pandemic influenza strain A/H1N1/Eastern India/66/pdm09 (H1N1-pdm09). Anti-influenza activity was measured by plaque inhibition, fluorescent focus-forming units (ffu) and quantifying viral transcripts using quantitative real-time PCR following treatment with baicalin in a dose- and time-dependent manner. The role of the IAV non-structural protein 1 (NS1) gene in modulating host responses was measured by immunoblotting, co-immunoprecipitation and molecular docking.Baicalin treatment following IAV infection revealed up-regulation of interferon (IFN)-induced antiviral signalling and decreased phosphoinositide 3-kinase/Akt (PI3K/Akt) activation compared with infected, untreated controls. Baicalin exerts its antiviral effects by modulating the function of the IAV-encoded NS1 protein. NS1 has been shown to counteract cellular antiviral responses by down-regulating IFN induction and up-regulating PI3K/ Akt signalling. Baicalin disrupted NS1–p85b binding. Molecular docking predicted the binding site of baicalin in the RNA binding domain (RBD) of NS1. Site-directed mutagenesis within the RBD region of NS1 and the difference in the fluorescence quenching pattern of full-length NS1 and mutant NS1 proteins in the presence of baicalin confirmed the interaction of baicalin with the NS1 RBD. Amino acid residues 39–43 of the NS1 RBD were found to be crucial for the baicalin–NS1 interaction. Overall, this study highlights that baicalin exerts its anti-influenza virus activity by modulating viral protein NS1, resulting in up-regulation of IFN-induced antiviral signalling and a decrease in PI3K/Akt signalling in cells