Speaker: Manuel Fernando Mollón Laorca. Abstract: Hypoxia-inducible factors (HIFs) are proteins that play a crucial role in the cellular response to low oxygen levels. Accurate prediction of the binding of these factors to their target DNA is essential for understanding their mechanisms and potential therapeutic applications. In this work, we explore the use of transformer models, an advanced neural network architecture, to predict the interactions between HIFs and their DNA binding sites.