30 citations · 40 across the 5 of their papers we have counts for
5 papers
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu +7
Structure-Based molecule optimization (SBMO) aims to optimize molecules with both continuous coordinates and discrete types against protein targets. A promising direction is to exe…
LangCell: Language-Cell Pre-training for Cell Identity Understanding
Suyuan Zhao, Jiahuan Zhang, Yushuai Wu +2
Cell identity encompasses various semantic aspects of a cell, including cell type, pathway information, disease information, and more, which are essential for biologists to gain in…
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
Yushuai Wu, Ting Zhang, Hao Zhou +11
The fields of therapeutic application and drug research and development (R&D) both face substantial challenges, i.e., the therapeutic domain calls for more treatment alternatives,…
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
Yizhen Luo, Jiahuan Zhang, Siqi Fan +4
Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when…
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Yizhen Luo, Xing Yi Liu, Kai Yang +5
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery. However, these methods pa…