DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest

•The study introduces a novel method for identifying DNA-binding sites using amino acid sequences.•DeepDBS uses deep learning techniques to generate representations which train a Random Forest classifier.•The study achieves high performance in accuracy (99%) in cross-validations and jackknife testin...

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Veröffentlicht in:	Methods (San Diego, Calif.) Calif.), 2024-11, Vol.231, p.26-36
Hauptverfasser:	Daanial Khan, Yaser, Alkhalifah, Tamim, Alturise, Fahad, Hassan Butt, Ahmad
Format:	Artikel
Sprache:	eng
Schlagworte:	1D-CNN amino acids Artificial Intelligence Computational Biology data collection DNA DNA binding proteins DNA binding sites gene expression regulation LSTM Machine Learning neural networks Random Forest RNN
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