Fang Ge
1866 Caoshan Road
Bengbu, 233030, China
Bengbu, 233030, China
Last Updated: 09/26/2026
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Found 26 publications
Multi-Omics Graph Attention Network for Key Gene Prediction in Triple-Negative Breast Cancer.
Journal: IEEE transactions on computational biology and bioinformatics
Published: April 09, 2026
iDLDDG: predicting protein stability changes from missense mutations in DNA-binding proteins using integrated deep learning features.
Journal: Briefings in bioinformatics
Published: November 18, 2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions.
Journal: Journal of chemical information and modeling
Published: July 28, 2025
TransABseq: A Two-Stage Approach for Predicting Antigen-Antibody Binding Affinity Changes upon Mutation Based on Protein Sequences.
Journal: Journal of chemical information and modeling
Published: May 12, 2025
Structure-Directed Pan-Specific T-Cell Receptor-Peptide-Major Histocompatibility Complex Interaction Prediction.
Journal: Journal of chemical information and modeling
Published: April 29, 2025
MFP-MFL: Leveraging Graph Attention and Multi-Feature Integration for Superior Multifunctional Bioactive Peptide Prediction.
Journal: International journal of molecular sciences
Published: December 17, 2024
GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-Coupled Receptors.
Journal: Journal of chemical information and modeling
Published: November 29, 2024
PRITrans: A Transformer-Based Approach for the Prediction of the Effects of Missense Mutation on Protein-RNA Interactions.
Journal: International journal of molecular sciences
Published: October 09, 2024
MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification.
Journal: Briefings in bioinformatics
Published: August 19, 2024
MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites.
Journal: Journal of chemical information and modeling
Published: August 02, 2024
MLSNet: a deep learning model for predicting transcription factor binding sites.
Journal: Briefings in bioinformatics
Published: July 22, 2024
Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A.
Journal: bioRxiv : the preprint server for biology
Published: May 27, 2024
Last Updated: 09/26/2026