MF1-MF2-ECEnet: Multi-function Matrix Factorization Elite Co-evolution Network for Non-hemolytic Anticancer Peptide Prediction

This publication has 16 references indexed in Scilit:

• Accurate prediction of anticancer peptides using a stacking ensemble of convolutional and transformer models with conjoint sequence representations
  Computers in Biology and Medicine, 2026
• Hemolytik 2: An Updated Database of Hemolytic Peptides and Proteins
  Chemical Research in Toxicology, 2026
• Reinforcement Learning-Based Target-Specific De Novo Design of Cyclic Peptide Binders
  Journal of Medicinal Chemistry, 2025
• Plant-Derived Bioactive Peptides: Extraction, Isolation, Purification, Pharmacological Activities, Structure–Activity Relationship, and Applications
  Journal of Agricultural and Food Chemistry, 2025
• AI-Driven Antimicrobial Peptide Discovery: Mining and Generation
  Accounts of Chemical Research, 2025
• Bridging machine learning and peptide design for cancer treatment: a comprehensive review
  Artificial Intelligence Review, 2025
• Examining the merits of feature-specific similarity functions in the news domain using human judgments
  User Modeling and User-Adapted Interaction, 2024
• Peptides as multifunctional players in cancer therapy
  Experimental & Molecular Medicine, 2023
• pIChemiSt ─ Free Tool for the Calculation of Isoelectric Points of Modified Peptides
  Journal of Chemical Information and Modeling, 2022
• A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
  Computers in Biology and Medicine, 2018