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Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)
 
MeSH Review

Computational Biology

 
 
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Disease relevance of Computational Biology

 

High impact information on Computational Biology

 

Chemical compound and disease context of Computational Biology

  • Using the rat femoral fracture model, bioinformatics, cloning, expression assays, fusion proteins, and transfection, we report on the identification and characterization of one such differentially expressed gene, termed Mustang (musculoskeletal temporally activated novel gene) [10].
 

Biological context of Computational Biology

  • A bioinformatics approach combining comparative genomic analysis and gene expression studies of a BBS-knockout mouse model was used to prioritize BBS candidate genes within the newly identified loci for mutation screening [11].
  • By a combined use of bioinformatics, published expression data, and knock-out phenotypes, we identified the cytochrome P450 CYP83B1 as the oxime-metabolizing enzyme in the glucosinolate pathway as evidenced by characterization of the recombinant protein expressed in Escherichia coli [12].
  • Bioinformatics analyses identified a novel domain in HIP-1 with homology to death effector domains (DEDs) present in proteins involved in apoptosis [13].
  • Genome data mining of lactic acid bacteria: the impact of bioinformatics [14].
  • The sequence data are grouped and identified using the tools of bioinformatics and the results are displayed through a web site where they can be interrogated by keyword search, chromosome location, by Blast (sequence comparison) or by alignment on completed genomes [15].
 

Anatomical context of Computational Biology

 

Associations of Computational Biology with chemical compounds

  • By combining the use of a phosphospecific antibody recognizing a substrate motif of serine/threonine kinases with bioinformatics, we found that the translational regulators ribosomal protein S6 and 4E-BP1 are constitutively phosphorylated in CML cells [18].
  • Here, we identify by bioinformatics and mutational analyses three functional domains of the hSlu7 protein that have distinct roles in its subcellular localization: a nuclear localization signal, a zinc-knuckle motif, and a lysine-rich region [19].
  • We then describe the subsequent identification of HM74A in follow-up bioinformatics searches and demonstrate that it acts as a high affinity receptor for nicotinic acid and other compounds with related pharmacology [20].
  • Using bioinformatics strategies, cDNAs were identified that encode a novel protein of 110 kDa containing a PAAD domain followed by a putative nucleotide-binding (NACHT) domain and several leucine-rich repeat domains [21].
  • The database is available on the internet (http://www.mcgill.ca/androgendb/), from EMBL-European Bioinformatics Institute (ftp.ebi.ac.uk/pub/databases/androgen), or as a Macintosh FilemakerPro or Word file (MC33@musica.mcgill.ca) [22].
 

Gene context of Computational Biology

 

Analytical, diagnostic and therapeutic context of Computational Biology

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