1 citations · 1 across the 1 of their papers we have counts for
5 papers
A polarity-aware multi-relational model for the signed interaction prediction in biological networks
Yize Zhou, Meijie Wang, Lun Yu
Predicting signed interactions in biological networks is crucial for understanding drug mechanisms and facilitating drug repurposing. While deep graph models have demonstrated succ…
Safe Multitask Molecular Graph Networks for Vapor Pressure and Odor Threshold Prediction
Shuang Wu, Meijie Wang, Lun Yu
We investigate two important tasks in odor-related property modeling: Vapor Pressure (VP) and Odor Threshold (OP). To evaluate the model's out-of-distribution (OOD) capability, we…
BMDetect: A Multimodal Deep Learning Framework for Comprehensive Biomedical Misconduct Detection
Yize Zhou, Jie Zhang, Meijie Wang +1
Academic misconduct detection in biomedical research remains challenging due to algorithmic narrowness in existing methods and fragmented analytical pipelines. We present BMDetect,…
LengthLogD: A Length-Stratified Ensemble Framework for Enhanced Peptide Lipophilicity Prediction via Multi-Scale Feature Integration
Shuang Wu, Meijie Wang, Lun Yu
Peptide compounds demonstrate considerable potential as therapeutic agents due to their high target affinity and low toxicity, yet their drug development is constrained by their lo…
Can artificial intelligence predict clinical trial outcomes?
Shuyi Jin, Lu Chen, Hongru Ding +2
This study evaluates the performance of large language models (LLMs) and the HINT model in predicting clinical trial outcomes, focusing on metrics including Balanced Accuracy, Matt…