27 citations · 29 across the 14 of their papers we have counts for
5 papers · 1 filter
DeepDR: an integrated deep-learning model web server for drug repositioning
Shuting Jin, Yi Jiang, Yimin Liu +5
Background: Identifying new indications for approved drugs is a complex and time-consuming process that requires extensive knowledge of pharmacology, clinical data, and advanced co…
MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction
Xuan Lin, Aocheng Ding, Tengfei Ma +2
Drug combinations offer therapeutic benefits but also carry the risk of adverse drug-drug interactions (DDIs), especially under complex molecular structures. Accurate DDI event pre…
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
Chengrui Xiang, Tengfei Ma, Xiangzheng Fu +3
Drug repurposing plays a critical role in accelerating treatment discovery, especially for complex and rare diseases. Biomedical knowledge graphs (KGs), which encode rich clinical…
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
Yuqin He, Tengfei Ma, Chaoyi Li +6
To mitigate the potential adverse health effects of simultaneous multi-drug use, including unexpected side effects and interactions, accurately identifying and predicting drug-drug…
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
Yifan Dai, Xuanbai Ren, Tengfei Ma +4
Accurate molecular property prediction (MPP) is a critical step in modern drug development. However, the scarcity of experimental validation data poses a significant challenge to A…