TF-GCNNovo: A Peptide Sequence Prediction Model Integrating Transformer and Graph Convolutional Network

peer-reviewed · Lecture Notes in Computer Science · 2025

peer-reviewed · Lecture Notes in Computer Science · 2025. Nan Liu (Shandong Jianzhu University) et al.
Date 2025-08-01
Type peer-reviewed
Venue Lecture Notes in Computer Science
Publisher Springer Nature Singapore
Contribution algorithm
DOI 10.1007/978-981-95-0698-9_7
Citations (OpenAlex) 0
Venue 2-year citedness 1.54

Authors

  1. Nan Liu (Shandong Jianzhu University) · Shandong Jianzhu University
  2. Hao Jing · Shandong Jianzhu University
  3. Xiaotian Jia · Shandong Jianzhu University
  4. Binhai Zhu (Montana State University) · Montana State University, North Carolina Agricultural and Technical State University

Methods and tools

  • TF-GCNNovo: Combines a transformer with a graph convolutional network over spectrum peaks to predict peptide sequences de novo.

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