Bioinformatics | Drug design | Molecular Biology GAPS: a geometric attention-based network for peptide binding site identification by the transfer learning approach. July 11, 2024
Bioinformatics | Computational Biology | Structural Biology Improved Peptide Docking with Privileged Knowledge Distillation using Deep Learning. December 18, 2023
Bioinformatics | Drug Discovery | Genomics PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features. November 28, 2023
Bioinformatics | Oncology | Pharmacology Prediction of the interaction between venom-derived peptides and cancer-associated hub proteins: A computational study. November 13, 2023
Bioinformatics | Computational Biology Current Computational Methods for Protein-Peptide Complex Structure Prediction. October 27, 2023
Bioinformatics | Structural Biology Predicting Protein-Peptide Interactions: Benchmarking Deep Learning Techniques and a Comparison with Focused Docking. May 11, 2023
Bioinformatics | Computational Biology Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. March 29, 2023
Bioinformatics | Computational Biology | Molecular Biology PepNN: a deep attention model for the identification of peptide binding sites. July 16, 2022