Cargando…
Simplified Method to Predict Mutual Interactions of Human Transcription Factors Based on Their Primary Structure
BACKGROUND: Physical interactions between transcription factors (TFs) are necessary for forming regulatory protein complexes and thus play a crucial role in gene regulation. Currently, knowledge about the mechanisms of these TF interactions is incomplete and the number of known TF interactions is li...
Autores principales: | Schmeier, Sebastian, Jankovic, Boris, Bajic, Vladimir B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130058/ https://www.ncbi.nlm.nih.gov/pubmed/21750739 http://dx.doi.org/10.1371/journal.pone.0021887 |
Ejemplares similares
-
Simplified Method for Predicting a Functional Class of Proteins in Transcription Factor Complexes
por: Piatek, Marek J., et al.
Publicado: (2013) -
TcoF-DB: dragon database for human transcription co-factors and transcription factor interacting proteins
por: Schaefer, Ulf, et al.
Publicado: (2011) -
TcoF-DB v2: update of the database of human and mouse transcription co-factors and transcription factor interactions
por: Schmeier, Sebastian, et al.
Publicado: (2017) -
A novel method for improved accuracy of transcription factor binding site prediction
por: Khamis, Abdullah M, et al.
Publicado: (2018) -
In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer
por: Kaur, Mandeep, et al.
Publicado: (2011)