ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    A Bayesian networks approach for predicting protein-protein interactions from genomic data (2003)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2003-10-18
    Description: We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, and colocalization). In addition to de novo predictions, it can integrate often noisy, experimental interaction data sets. We observe that at given levels of sensitivity, our predictions are more accurate than the existing high-throughput experimental data sets. We validate our predictions with TAP (tandem affinity purification) tagging experiments. Our analysis, which gives a comprehensive view of yeast interactions, is available at genecensus.org/intint.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jansen, Ronald -- Yu, Haiyuan -- Greenbaum, Dov -- Kluger, Yuval -- Krogan, Nevan J -- Chung, Sambath -- Emili, Andrew -- Snyder, Michael -- Greenblatt, Jack F -- Gerstein, Mark -- New York, N.Y. -- Science. 2003 Oct 17;302(5644):449-53.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, Post Office Box 208114, New Haven, CT 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14564010" target="_blank"〉PubMed〈/a〉
    Keywords: *Bayes Theorem ; DEAD-box RNA Helicases ; DNA Replication ; Gene Expression ; *Genome, Fungal ; Likelihood Functions ; Nucleosomes/metabolism ; Peptide Chain Elongation, Translational ; *Protein Interaction Mapping ; Proteomics ; RNA Helicases/metabolism ; RNA, Messenger/genetics/metabolism ; RNA-Binding Proteins/metabolism ; Saccharomyces cerevisiae/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/genetics/*metabolism ; Sensitivity and Specificity
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast (2008)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2008-09-27
    Description: An epistasis map (E-MAP) was constructed in the fission yeast, Schizosaccharomyces pombe, by systematically measuring the phenotypes associated with pairs of mutations. This high-density, quantitative genetic interaction map focused on various aspects of chromosome function, including transcription regulation and DNA repair/replication. The E-MAP uncovered a previously unidentified component of the RNA interference (RNAi) machinery (rsh1) and linked the RNAi pathway to several other biological processes. Comparison of the S. pombe E-MAP to an analogous genetic map from the budding yeast revealed that, whereas negative interactions were conserved between genes involved in similar biological processes, positive interactions and overall genetic profiles between pairs of genes coding for physically associated proteins were even more conserved. Hence, conservation occurs at the level of the functional module (protein complex), but the genetic cross talk between modules can differ substantially.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2753251/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2753251/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Roguev, Assen -- Bandyopadhyay, Sourav -- Zofall, Martin -- Zhang, Ke -- Fischer, Tamas -- Collins, Sean R -- Qu, Hongjing -- Shales, Michael -- Park, Han-Oh -- Hayles, Jacqueline -- Hoe, Kwang-Lae -- Kim, Dong-Uk -- Ideker, Trey -- Grewal, Shiv I -- Weissman, Jonathan S -- Krogan, Nevan J -- GM084279/GM/NIGMS NIH HHS/ -- R01 GM084279/GM/NIGMS NIH HHS/ -- R01 GM084279-01A1/GM/NIGMS NIH HHS/ -- R01 GM084279-02/GM/NIGMS NIH HHS/ -- R01 GM084279-02S1/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2008 Oct 17;322(5900):405-10. doi: 10.1126/science.1162609. Epub 2008 Sep 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18818364" target="_blank"〉PubMed〈/a〉
    Keywords: DNA Repair ; DNA Replication ; *Epistasis, Genetic ; Gene Expression Regulation, Fungal ; Gene Regulatory Networks ; *Genes, Fungal ; Histones/metabolism ; Mutation ; RNA Interference ; Saccharomyces cerevisiae/genetics/metabolism ; Schizosaccharomyces/*genetics/metabolism ; Schizosaccharomyces pombe Proteins/genetics/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...