Transcription Factor

Transcription factors (TFs) are proteins that regulate gene expression by binding to specific DNA sequences, influencing various cellular processes and disease states. Current research focuses on improving the prediction of TF binding sites and the elucidation of complex TF regulatory networks using machine learning approaches, including convolutional neural networks (CNNs), transformer-based models, and graph neural networks. These advancements are crucial for understanding gene regulation, identifying therapeutic targets for diseases involving TF dysregulation, and accelerating the design of novel biomolecules.