TFpredict is a tool which implements a novel three-step classification method which expects a protein sequence as input and (1) distinguishes transcription factors (TF) from other proteins (Non-TF), (2) predicts the structural superclass of TFs (see TransFac classification), and (3) identifies the DNA-binding domains of TFs. Obviously, the latter two classification steps can only be performed if the given protein sequence corresponds to a TF.
the Center for Bioinformatics Tübingen (Zentrum für Bioinformatik Tübingen, ZBIT).
- Windows / Linux / Mac OsX
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PLoS One. 2013 Dec 12;8(12):e82238. doi: 10.1371/journal.pone.0082238. eCollection 2013.
TFpredict and SABINE: Sequence-Based Prediction of Structural and Functional Characteristics of Transcription Factors.
Eichner J, Topf F1, Dräger A, Wrzodek C, Wanke D, Zell A.