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Updated: Jan 21, 2026

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
Published on: February 11, 2019
BindSpace decodes transcription factor binding signals by large-scale sequence embedding
Han Yuan1,2, Meghana Kshirsagar1, Lee Zamparo1
1Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Abstract:
The decoding of transcription factor (TF) binding signals in genomic DNA is a fundamental problem. Here we present a prediction model called BindSpace that learns to embed DNA sequences and TF labels into the same space. By training on binding data from hundreds of TFs and embedding over 1 M DNA sequences, BindSpace achieves state-of-the-art multiclass binding prediction performance, in vitro and in vivo, and can distinguish between signals of closely related TFs.
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