📄 ResLysEmbed Accepted in Bioinformatics Advances

Publication News 🎉

I am thrilled to share that our paper:

ResLysEmbed: A ResNet-Based Framework for Succinylated Lysine Residue Prediction Using Sequence and Language Model Embeddings

has been accepted for publication in Bioinformatics Advances on August 7, 2025.

This work represents the culmination of years of effort in integrating deep learning, sequence analysis, and language model embeddings to improve prediction accuracy for protein post-translational modifications.