27 citations · 29 across the 14 of their papers we have counts for
6 papers · 1 filter
Learning Molecular Representations from Cellular Phenotypes with Structure Preservation
Xuan Lin, Jingyu Sheng, Tengfei Ma +2
Phenotypic drug discovery enables the discovery of functional relationships between molecular structures and cellular responses. However, existing multimodal representation learnin…
CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps
Dan Luo, Xuan Lin, Peng Zhou +4
Despite the growing availability of cryo-electron microscopy (cryo-EM) density maps, effectively leveraging them for protein representation remains challenging. First, current meth…
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…
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…
SDN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang +3
Inductive Knowledge Graph Completion (KGC) aims to infer missing facts between newly emerged entities within knowledge graphs (KGs), posing a significant challenge. While recent st…