Bioinformatics | Computational Biology | Genomics NanoCon: Contrastive learning-based deep hybrid network for nanopore methylation detection. February 2, 2024
Bioinformatics | Drug Discovery | Proteomics MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. February 1, 2024
Bioinformatics | Drug Discovery Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. December 22, 2023
Bioinformatics | Computational Biology ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. November 10, 2023
Bioinformatics | Oncology | Pharmacology AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. August 11, 2023
Bioinformatics | Immunology MVIL-6: Accurate identification of IL-6-induced peptides using multi-view feature learning. June 16, 2023
Bioinformatics | Oncology CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. May 30, 2023
Bioinformatics | Structural Biology Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction. February 16, 2023
Bioinformatics | Computational Biology DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis. February 16, 2023
Bioinformatics | Molecular Biology Predicting protein-peptide binding residues via interpretable deep learning. May 23, 2022