Lijun J. Quan
Suzhou, China
Last Updated: 09/26/2026
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Found 38 publications
A Structure-Aware Multimodal Framework for Drug-Target Interaction Prediction via Heterogeneous Graph Learning.
Journal: Journal of computational biology : a journal of computational molecular cell biology
Published: July 21, 2026
iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.
Journal: PLoS computational biology
Published: March 10, 2026
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation.
Journal: Briefings in bioinformatics
Published: December 08, 2025
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.
Journal: Journal of chemical information and modeling
Published: November 18, 2025
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.
Journal: Journal of chemical information and modeling
Published: August 22, 2025
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.
Journal: Journal of chemical information and modeling
Published: July 22, 2025
AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction.
Journal: Journal of chemical information and modeling
Published: June 26, 2025
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.
Journal: Journal of chemical information and modeling
Published: June 13, 2025
PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasets.
Journal: Communications biology
Published: March 21, 2025
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.
Journal: Journal of chemical information and modeling
Published: January 15, 2025
Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs.
Journal: Communications biology
Published: December 20, 2024
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.
Journal: Briefings in bioinformatics
Published: December 10, 2024
Last Updated: 09/26/2026