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1.
AIDS Res Hum Retroviruses ; 24(12): 1497-502, 2008 Dec.
Article in English | MEDLINE | ID: mdl-19025396

ABSTRACT

Although many interactions between HIV-1 and human proteins have been reported in the scientific literature, no publicly accessible source for efficiently reviewing this information was available. Therefore, a project was initiated in an attempt to catalogue all published interactions between HIV-1 and human proteins. HIV-related articles in PubMed were used to develop a database containing names, Entrez GeneIDs, and RefSeq protein accession numbers of interacting proteins. Furthermore, brief descriptions of the interactions, PubMed identification numbers of articles describing the interactions, and keywords for searching the interactions were incorporated. Over 100,000 articles were reviewed, resulting in the identification of 1448 human proteins that interact with HIV-1 comprising 2589 unique HIV-1-to-human protein interactions. Preliminary analysis of the extracted data indicates 32% were direct physical interactions (e.g., binding) and 68% were indirect interactions (e.g., upregulation through activation of signaling pathways). Interestingly, 37% of human proteins in the database were found to interact with more than one HIV-1 protein. For example, the signaling protein mitogen-activated protein kinase 1 has a surprising range of interactions with 10 different HIV-1 proteins. Moreover, large numbers of interactions were published for the HIV-1 regulatory protein Tat and envelope proteins: 30% and 33% of total interactions identified, respectively. The database is accessible at http://www.ncbi.nlm.nih.gov/RefSeq/HIVInteractions/ and is cross-linked to other National Center for Biotechnology Information databases and programs via Entrez Gene. This database represents a unique and continuously updated scientific resource for understanding HIV-1 replication and pathogenesis to assist in accelerating the development of effective therapeutic and vaccine interventions.


Subject(s)
Databases, Protein , HIV Infections/virology , HIV-1/physiology , Host-Pathogen Interactions , Viral Proteins/metabolism , Humans , National Library of Medicine (U.S.) , United States
2.
Proc Natl Acad Sci U S A ; 101(34): 12694-9, 2004 Aug 24.
Article in English | MEDLINE | ID: mdl-15304651

ABSTRACT

Coronaviruses are important pathogens that cause acute respiratory diseases in humans. Replication of the approximately 30-kb positive-strand RNA genome of coronaviruses and discontinuous synthesis of an extensive set of subgenome-length RNAs (transcription) are mediated by the replicase-transcriptase, a barely characterized protein complex that comprises several cellular proteins and up to 16 viral subunits. The coronavirus replicase-transcriptase was recently predicted to contain RNA-processing enzymes that are extremely rare or absent in other RNA viruses. Here, we established and characterized the activity of one of these enzymes, replicative nidoviral uridylate-specific endoribonuclease (NendoU). It is considered a major genetic marker that discriminates nidoviruses (Coronaviridae, Arteriviridae, and Roniviridae) from all other RNA virus families. Bacterially expressed forms of NendoU of severe acute respiratory syndrome coronavirus and human coronavirus 229E were revealed to cleave single-stranded and double-stranded RNA in a Mn(2+)-dependent manner. Single-stranded RNA was cleaved less specifically and effectively, suggesting that double-stranded RNA is the biologically relevant NendoU substrate. Double-stranded RNA substrates were cleaved upstream and downstream of uridylates at GUU or GU sequences to produce molecules with 2'-3' cyclic phosphate ends. 2'-O-ribose-methylated RNA substrates proved to be resistant to cleavage by NendoU, indicating a functional link with the 2'-O-ribose methyltransferase located adjacent to NendoU in the coronavirus replicative polyprotein. A mutagenesis study verified potential active-site residues and allowed us to inactivate NendoU in the full-length human coronavirus 229E clone. Substitution of D6408 by Ala was shown to abolish viral RNA synthesis, demonstrating that NendoU has critical functions in viral replication and transcription.


Subject(s)
Endoribonucleases/genetics , Nidovirales/enzymology , Viral Proteins/genetics , Virus Replication , Amino Acid Sequence , Endoribonucleases/metabolism , Genetic Markers , Humans , Manganese/metabolism , Methylation , Molecular Sequence Data , Nidovirales/genetics , Phosphates/chemistry , Phosphates/metabolism , RNA, Viral/metabolism , Severe acute respiratory syndrome-related coronavirus/genetics , Sequence Alignment , Substrate Specificity , Uridine Monophosphate/metabolism , Viral Proteins/metabolism
3.
Nucleic Acids Res ; 32(Web Server issue): W654-9, 2004 Jul 01.
Article in English | MEDLINE | ID: mdl-15215470

ABSTRACT

The Genotyping tool at the National Center for Biotechnology Information is a web-based program that identifies the genotype (or subtype) of recombinant or non-recombinant viral nucleotide sequences. It works by using BLAST to compare a query sequence to a set of reference sequences for known genotypes. Predefined reference genotypes exist for three major viral pathogens: human immunodeficiency virus 1 (HIV-1), hepatitis C virus (HCV) and hepatitis B virus (HBV). User-defined reference sequences can be used at the same time. The query sequence is broken into segments for comparison to the reference so that the mosaic organization of recombinant sequences could be revealed. The results are displayed graphically using color-coded genotypes. Therefore, the genotype(s) of any portion of the query can quickly be determined. The Genotyping tool can be found at: http://www.ncbi.nih.gov/projects/genotyping/formpage.cgi.


Subject(s)
DNA, Viral/analysis , Genes, Viral , Software , Viruses/classification , Algorithms , Computer Graphics , Genome, Viral , Genotype , HIV-1/classification , HIV-1/genetics , Hepacivirus/classification , Hepacivirus/genetics , Hepatitis B virus/classification , Hepatitis B virus/genetics , Internet , Molecular Sequence Data , Recombination, Genetic , Sequence Alignment , Sequence Analysis, DNA , User-Computer Interface
5.
J Mol Biol ; 331(5): 991-1004, 2003 Aug 29.
Article in English | MEDLINE | ID: mdl-12927536

ABSTRACT

The genome organization and expression strategy of the newly identified severe acute respiratory syndrome coronavirus (SARS-CoV) were predicted using recently published genome sequences. Fourteen putative open reading frames were identified, 12 of which were predicted to be expressed from a nested set of eight subgenomic mRNAs. The synthesis of these mRNAs in SARS-CoV-infected cells was confirmed experimentally. The 4382- and 7073 amino acid residue SARS-CoV replicase polyproteins are predicted to be cleaved into 16 subunits by two viral proteinases (bringing the total number of SARS-CoV proteins to 28). A phylogenetic analysis of the replicase gene, using a distantly related torovirus as an outgroup, demonstrated that, despite a number of unique features, SARS-CoV is most closely related to group 2 coronaviruses. Distant homologs of cellular RNA processing enzymes were identified in group 2 coronaviruses, with four of them being conserved in SARS-CoV. These newly recognized viral enzymes place the mechanism of coronavirus RNA synthesis in a completely new perspective. Furthermore, together with previously described viral enzymes, they will be important targets for the design of antiviral strategies aimed at controlling the further spread of SARS-CoV.


Subject(s)
Coronavirus/genetics , Genome, Viral , Proteome , Severe acute respiratory syndrome-related coronavirus/genetics , Amino Acid Sequence , Animals , Chlorocebus aethiops , Conserved Sequence , Coronavirus/classification , Coronavirus/metabolism , Evolution, Molecular , Humans , Molecular Sequence Data , Open Reading Frames , Phylogeny , Protein Structure, Tertiary , Protein Subunits , RNA Processing, Post-Transcriptional , RNA, Messenger/genetics , RNA, Messenger/metabolism , RNA, Viral/genetics , RNA, Viral/metabolism , RNA-Dependent RNA Polymerase/chemistry , RNA-Dependent RNA Polymerase/genetics , RNA-Dependent RNA Polymerase/metabolism , Severe acute respiratory syndrome-related coronavirus/classification , Severe acute respiratory syndrome-related coronavirus/metabolism , Sequence Homology, Amino Acid , Vero Cells , Viral Proteins/chemistry , Viral Proteins/genetics , Viral Proteins/metabolism
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