4.8 Article

By the company they keep: interaction networks define the binding ability of transcription factors

Journal

NUCLEIC ACIDS RESEARCH
Volume 43, Issue 19, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkv607

Keywords

-

Funding

  1. European Research Council under the European Union [RIBOMYLOME_309545]
  2. Fundacio La Marato de TV3 [20142731]
  3. Spanish Ministry of Economy and Competitiveness, 'Centro de Excelencia Severo Ochoa' [SEV-2012-0208]
  4. European Union [RIBOMYLOME_309545]
  5. ICREA Funding Source: Custom

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Access to genome-wide data provides the opportunity to address questions concerning the ability of transcription factors (TFs) to assemble in distinct macromolecular complexes. Here, we introduce the PAnDA (Protein And DNA Associations) approach to characterize DNA associations with human TFs using expression profiles, protein-protein interactions and recognition motifs. Our method predicts TF binding events with > 0.80 accuracy revealing cell-specific regulatory patterns that can be exploited for future investigations. Even when the precise DNA-binding motifs of a specific TF are not available, the information derived from protein-protein networks is sufficient to perform high-confidence predictions (area under the ROC curve of 0.89). PAnDA is freely available at http://service.tartaglialab.com/new_submission/panda.

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