🎓 Thesis Defense Completed
Successfully defended my undergraduate thesis on ResLysEmbed, a ResNet-based framework for lysine succinylation site prediction.
Mar 18, 2025
ResLysEmbed: A ResNet-Based Framework for Succinylated Lysine Residue Prediction Using Sequence and Language Model Embeddings
We developed **ResLysEmbed**, a ResNet+MLP-based hybrid model that integrates word and protein language model embeddings to predict lysine succinylation sites with superior accuracy and interpretability. It outperforms existing methods and provides biologically relevant insights through SHAP analysis.
Jan 1, 2025