Peifu Han
Orcid: 0000-0003-2818-3040
According to our database1,
Peifu Han
authored at least 14 papers
between 2022 and 2025.
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Bibliography
2025
Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions.
J. Cheminformatics, December, 2025
PLoS Comput. Biol., 2025
DGSS: A Dynamic Interaction Graph Neural Network with Specific Substructure Awareness for Drug Synergy Prediction.
J. Chem. Inf. Model., 2025
Multi-scale low-frequency enhanced spectral neural operator for reducing low-frequency error in partial differential equations solving.
Eng. Appl. Artif. Intell., 2025
MVSO-PPIS: a structured objective learning model for protein-protein interaction sites prediction via multi-view graph information integration.
Bioinform., 2025
2024
KGM4DTI: A Depression Knowledge Graph-Driven Multi-semantic Multi-view Computational Framework for Drug-Target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Semi-Template Retrosynthesis Prediction with 3D Spatial Structures and Reaction Center Disconnection Rules.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Case Element Joint Extraction Based on Case Field Correlation and Dependency Graph Convolutional Network.
Neural Process. Lett., October, 2023
QuantumTox: Utilizing quantum chemistry with ensemble learning for molecular toxicity prediction.
Comput. Biol. Medicine, May, 2023
MARPPI: boosting prediction of protein-protein interactions with multi-scale architecture residual network.
Briefings Bioinform., January, 2023
2022
RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction.
J. Chem. Inf. Model., 2022
Int. J. Grid Util. Comput., 2022